Amazon Technologies, Inc.

United States of America

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H04L 29/06 - Communication control; Communication processing characterised by a protocol 2,393
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G06F 9/455 - EmulationInterpretationSoftware simulation, e.g. virtualisation or emulation of application or operating system execution engines 1,056
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1.

DYNAMIC GENERATION OF DATA SETS FOR TRAINING MACHINE-TRAINED NETWORK

      
Application Number 18737459
Status Pending
Filing Date 2024-06-07
First Publication Date 2025-05-08
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Mihal, Andrew C.
  • Teig, Steven L.

Abstract

Some embodiments of the invention provide a novel method for training a multi-layer node network. Some embodiments train the multi-layer network using a set of inputs generated with random misalignments incorporated into the training data set. In some embodiments, the training data set is a synthetically generated training set based on a three-dimensional ground truth model as it would be sensed by a sensor array from different positions and with different deviations from ideal alignment and placement. Some embodiments dynamically generate training data sets when a determination is made that more training is required. Training data sets, in some embodiments, are generated based on training data sets for which the multi-layer node network has produced bad results.

IPC Classes  ?

  • G06T 7/80 - Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
  • G06N 3/04 - Architecture, e.g. interconnection topology
  • G06N 3/042 - Knowledge-based neural networksLogical representations of neural networks
  • G06N 3/08 - Learning methods
  • G06N 3/084 - Backpropagation, e.g. using gradient descent
  • G06T 7/521 - Depth or shape recovery from laser ranging, e.g. using interferometryDepth or shape recovery from the projection of structured light
  • G06T 7/55 - Depth or shape recovery from multiple images
  • G06T 7/593 - Depth or shape recovery from multiple images from stereo images
  • G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
  • G08G 1/16 - Anti-collision systems
  • H04N 13/239 - Image signal generators using stereoscopic image cameras using two 2D image sensors having a relative position equal to or related to the interocular distance
  • H04N 13/246 - Calibration of cameras

2.

SCALABLE LOG-BASED CONTINUOUS DATA PROTECTION FOR DISTRIBUTED DATABASES

      
Application Number 19017232
Status Pending
Filing Date 2025-01-10
First Publication Date 2025-05-08
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Vig, Akshat
  • Pol, Parikshit Shivajirao
  • Subramanian, Subramanian Sankara
  • Pokkunuri, Rama Krishna Sandeep
  • Thiruchi Loganathan, Rajaprabhu
  • Chandrasekhraran, Harini

Abstract

In response to determining that continuous data protection is to be enabled for a particular table of a database service, a service component verifies that automated transmission of change records of the table to a log-structured journal has been configured. A given change record comprises a before-image and an after-image associated with a committed database write, and is assigned a unique sequence number. In response to a determination to restore the table as of a specified point in time, a restore record set is identified from the journal with respect to a selected snapshot of the table. The restore record set includes change records which are not represented in the snapshot and are to be represented in the restored table. A restore result table is created using the selected snapshot and the restore record set.

IPC Classes  ?

  • G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
  • G06F 16/18 - File system types
  • G06F 16/23 - Updating

3.

INTELLIEGENT FILE SYSTEM WITH TRANSPARENT STORAGE TIERING

      
Application Number 19015463
Status Pending
Filing Date 2025-01-09
First Publication Date 2025-05-08
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Krishnan, Karthikeyan
  • Parthasarathy, Akshai
  • Sait, Abdul Sathar

Abstract

A file system manager implemented at a provider network identifies a storage device of a first group of storage devices of a provider network as an initial location of a file system object. Based on an access metric associated with the object, the file system manager initiates a transfer of contents of the object to a second storage device of a different storage device group, without receiving a client request specifying the transfer. In response to an access request received via a file system programmatic interface, contents of the object are provided from the second storage device. Based on a second access metric, the object is transferred back to the first group of storage devices.

IPC Classes  ?

  • G06F 16/182 - Distributed file systems
  • G06F 3/06 - Digital input from, or digital output to, record carriers
  • G06F 16/11 - File system administration, e.g. details of archiving or snapshots
  • G06F 16/185 - Hierarchical storage management [HSM] systems, e.g. file migration or policies thereof
  • G06Q 20/10 - Payment architectures specially adapted for electronic funds transfer [EFT] systemsPayment architectures specially adapted for home banking systems

4.

NATURAL LANGUAGE INTERACTIONS WITH INTERACTIVE VISUAL CONTENT

      
Application Number 18923949
Status Pending
Filing Date 2024-10-23
First Publication Date 2025-05-08
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Saikia, Amitabh
  • Pandey, Devesh Mohan
  • Chung, Tagyoung
  • Wu, Shanchan
  • Lin, Chien-Wei
  • Thattai, Govindarajan Sundaram
  • Reganti, Aishwarya Naresh
  • Mandal, Arindam
  • Krishnan, Prakash
  • Gabriel, Raefer Christopher
  • Sundaram, Meyyappan

Abstract

Techniques for facilitating natural language interactions with visual interactive content are described. During a build time, a system analyzes various websites and applications relating to a particular user goal to understand website and application navigation and information relating to the user goal. The learned information is used to store configuration data. During runtime, when a user request performance of an action, the system engages in a dialog with the user to complete the user's goal. The system uses the stored configuration data to determine actions to be performed at a website or application to complete the user's goal, and determines system responses to present to the user to facilitate completion of the goal. Such system responses may request information from the user, may inform the user of information displayed at the website or application, etc.

IPC Classes  ?

  • G10L 15/183 - Speech classification or search using natural language modelling using context dependencies, e.g. language models
  • G10L 13/027 - Concept to speech synthesisersGeneration of natural phrases from machine-based concepts
  • G10L 15/08 - Speech classification or search

5.

PREEMPTIVE WAKEWORD DETECTION

      
Application Number 18966827
Status Pending
Filing Date 2024-12-03
First Publication Date 2025-05-08
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Fidler, Eli Joshua
  • Challenner, Aaron
  • Adams, Zoe
  • Parthasarathi, Sree Hari Krishnan
  • Fu, Gengshen

Abstract

Systems and methods for preemptive wakeword detection are disclosed. For example, a first part of a wakeword is detected from audio data representing a user utterance. When this occurs, on-device speech processing is initiated prior to when the entire wakeword is detected. When the entire wakeword is detected, results from the on-device speech processing and/or the audio data is sent to a speech processing system to determine a responsive action to be performed by the device. When the entire wakeword is not detected, on-device processing is canceled and the device refrains from sending the audio data to the speech processing system.

IPC Classes  ?

  • G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
  • G10L 15/02 - Feature extraction for speech recognitionSelection of recognition unit
  • G10L 15/08 - Speech classification or search
  • G10L 15/187 - Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams

6.

CAPACITY CLUSTER RESOURCE RESERVATIONS IN A CLOUD PROVIDER NETWORK

      
Application Number US2024052629
Publication Number 2025/096265
Status In Force
Filing Date 2024-10-23
Publication Date 2025-05-08
Owner AMAZON TECHNOLOGIES, INC. (USA)
Inventor
  • Wilson, Darren Edward
  • Vagvala, Mahadev
  • Bulbul, Kerem
  • Ramalingam, Subramanian Pranesh
  • Siddall, Jacob Anthony
  • Akinde, Lee Ann Hilda
  • Huynh, Khanh Ngoc Han
  • Pinto, Elton Victor
  • Kolipaka, Laxman Kasyap
  • Naderi, Bahman

Abstract

Techniques for implementing and utilizing capacity cluster resource reservations are described. A managed compute service receives a user's request to identify a capacity block for use in launching compute instances. A schedule with pre-computed blocks, each corresponding to an amount of instances and an amount of time, is used to identify a block satisfying the request's criteria. The user can later obtain the capacity block and launch instances into the reservation during its time window, where placement rules associated with the reservation ensure the instances are hosted in locations enabling low-latency intercommunications.

IPC Classes  ?

  • G06F 9/48 - Program initiatingProgram switching, e.g. by interrupt
  • G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]
  • H04L 67/62 - Establishing a time schedule for servicing the requests

7.

ENTITY RESOLUTION USING AUDIO SIGNALS

      
Application Number US2024051447
Publication Number 2025/096191
Status In Force
Filing Date 2024-10-15
Publication Date 2025-05-08
Owner AMAZON TECHNOLOGIES, INC. (USA)
Inventor
  • He, Xin
  • Wang, Jiyang
  • Zhou, Xiaozhou Joey
  • Feng, Helian
  • Kebarighotbi, Ali
  • Ruan, Kangrui

Abstract

Devices and techniques are generally described for audio-based entity resolution. In various examples, first audio data representing speech comprising a mention of a first entity may be received. In some examples, first embedding data representing the first audio data may be received. Second embedding data representing the first entity may be determined. A first modified embedding may be generated using a first attention mechanism to compare the first embedding data to the second embedding data. In some examples, a determination may be made that the first audio data includes a mention of the first entity.

IPC Classes  ?

  • G10L 15/16 - Speech classification or search using artificial neural networks
  • G06F 40/295 - Named entity recognition
  • G10L 15/18 - Speech classification or search using natural language modelling
  • G10L 15/26 - Speech to text systems
  • G06N 3/08 - Learning methods
  • G10L 15/08 - Speech classification or search

8.

AMAZON BRAND REGISTRY

      
Application Number 239683300
Status Pending
Filing Date 2025-05-06
Owner Amazon Technologies, Inc. (USA)
NICE Classes  ? 00 - No classifiable goods/services

Goods & Services

(1) Business services, namely, administration of a program to record intellectual property rights and report violations; business services, namely, administration of a program to protect intellectual property rights on a marketplace using recordation of trademark registrations, reporting of violations, and removal of listings; business services, namely, administration of a program to record and protect intellectual property rights; business services, namely, providing a program to protect intellectual property rights; business services, namely, providing sellers a system or program to protect intellectual property rights; business services, namely, assisting sellers with protection of intellectual property rights; business services, namely, providing online, non-downloadable software for managing and optimizing product sales; business services, namely, providing online, non-downloadable software for intellectual property rights protection and enforcement; retail store services, namely, assisting sellers with managing and optimizing product sales; retail store services, namely, assisting sellers with intellectual property rights protection and enforcement; retail store services featuring a wide variety of consumer goods of others, namely, assisting sellers with managing and optimizing product sales; retail store services featuring a wide variety of consumer goods of others, namely, assisting sellers with intellectual property rights protection and enforcement; retail store service services, namely, assisting sellers with managing and optimizing product sales; retail store service services, namely, assisting sellers with intellectual property rights protection and enforcement

9.

Adaptive machine learning training via in-flight feature modification

      
Application Number 16585266
Grant Number 12293262
Status In Force
Filing Date 2019-09-27
First Publication Date 2025-05-06
Grant Date 2025-05-06
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Olgiati, Andrea
  • Cho, Hyunsu
  • Iyer, Rahul
  • Rouesnel, Laurence Louis Eric

Abstract

Techniques for adaptive machine learning training via in-flight feature modification are described. A training monitor captures training data during the training of a machine learning model, and a metric generator creates metrics such as feature importance metrics based on the data. A rule evaluation engine determines whether any modification conditions are met for any of the features based on the metrics, and based on such a determination can cause the in-flight training job to be modified.

IPC Classes  ?

  • G06N 20/00 - Machine learning
  • G06F 16/16 - File or folder operations, e.g. details of user interfaces specifically adapted to file systems

10.

Analytical model to optimize deep learning models

      
Application Number 17338047
Grant Number 12293299
Status In Force
Filing Date 2021-06-03
First Publication Date 2025-05-06
Grant Date 2025-05-06
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Sharma, Vinod
  • Wang, Yao
  • Zhou, Xingyu
  • Wang, Yanming
  • Wu, Yong
  • Li, Rui

Abstract

Techniques for optimizing and deploying deep neural network (CNN) machine learning models for inference using static analysis are described. A method includes obtaining a deep neural network (DNN) machine learning (ML) model, generating an intermediate representation for the ML model, the intermediate representation including one or more nodes corresponding to one or more operators utilized by the ML model, identifying, for at least one node of the intermediate representation, an optimized schedule for at least one operator corresponding to the at least one node using a static analysis that is based on a hardware-specific cost model, generating an optimized intermediate representation using the optimized schedule that is optimized for execution on a hardware platform, and generating code corresponding to the ML model based at least in part on the optimized intermediate representation, wherein the code is specific to the hardware platform.

IPC Classes  ?

  • G06N 3/10 - Interfaces, programming languages or software development kits, e.g. for simulating neural networks
  • G06F 9/38 - Concurrent instruction execution, e.g. pipeline or look ahead
  • G06N 3/04 - Architecture, e.g. interconnection topology

11.

Aerial vehicle

      
Application Number 29776691
Grant Number D1073532
Status In Force
Filing Date 2021-03-31
First Publication Date 2025-05-06
Grant Date 2025-05-06
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Welsh, Ricky Dean
  • Legrand, Iii, Louis Leroi
  • Shiosaki, Dominic Timothy
  • Kimchi, Gur
  • Eisenmann, Shmuel
  • Margulies, Isaac Aaron
  • Maynor, Chris
  • Braam, Jon T.

12.

Generating and evaluating insertion markers in media

      
Application Number 17854394
Grant Number 12294771
Status In Force
Filing Date 2022-06-30
First Publication Date 2025-05-06
Grant Date 2025-05-06
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Thavrani, Kalpesh Bhagwandas
  • Janakiammal, Bharanidharan Arul
  • Kapoor, Pranav
  • Robertson Halbach, Caileigh Ann
  • Dixit, Abhinaw
  • Guntoju, Durga Prasad

Abstract

An insertion marker mechanism may be used to generate and evaluate insertion markers in media content. The system may place candidate markers at silent pauses and/or anomalies such as changes in pitch/timbre of an audio signal, and/or at points where a video has a blank screen. In response to a request for the media content, the system may place secondary content at a subset of the candidate markers. The system may select different insertion markers in response to different playback requests of the content. Based on feedback such as user engagement with the secondary content and/or drop rate, the system may determine which insertion markers correlate with better engagement and/or retention. Based on the feedback, the system may prioritize content insertion at better performing markers, while continuing to insert a smaller proportion of secondary content randomly at lower performing markers to monitor for changes in user behavior over time.

IPC Classes  ?

  • H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
  • H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
  • H04N 21/431 - Generation of visual interfacesContent or additional data rendering

13.

Opinion-based natural language response generation

      
Application Number 18081929
Grant Number 12293758
Status In Force
Filing Date 2022-12-15
First Publication Date 2025-05-06
Grant Date 2025-05-06
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Papangelis, Alexandros
  • Hedayatnia, Behnam
  • Zhao, Chao
  • Hazarika, Devamanyu
  • Jin, Di
  • Hakkani-Tur, Dilek
  • Namazifar, Mahdi
  • Kim, Seokhwan
  • Gella, Spandana
  • Liu, Yang

Abstract

Techniques for generating opinion-based content responsive to a user input are described. The system may receive a user input, and determine dialog context data corresponding to a dialog between a user and the system, and including the user input. The system may determine generation of content responsive to the user input requires opinion-based knowledge, and may extract entities from the dialog context data, and determine natural language data of a knowledge base that includes entities similar to the extracted entities. The system may processes the natural language data and the dialog context data to determine a subset of the natural language data that is responsive to the user input. The system may generate output data responsive to the user input using the responsive natural language data and the dialog context.

IPC Classes  ?

  • G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
  • G10L 15/18 - Speech classification or search using natural language modelling

14.

Dual-stack network addressing in cloud provider network edge locations

      
Application Number 18169591
Grant Number 12294563
Status In Force
Filing Date 2023-02-15
First Publication Date 2025-05-06
Grant Date 2025-05-06
Owner AMAZON TECHNOLOGIES, INC. (USA)
Inventor
  • Shevade, Upendra Bhalchandra
  • Kulkarni, Shridhar
  • Barclay, Christopher
  • Parulkar, Ishwardutt
  • Ballantyne, Dougal Stuart
  • Gupta, Diwakar
  • Elissaios, Georgios

Abstract

Techniques for utilizing dual-stack network addressing for compute instances hosted in an edge location of a cloud provider network along with communications service provider (CSP) network addresses are described. A first network address is assigned to the compute instance from a pool of network addresses of the cloud provider network, and a second network address is associated with the compute instance that is provided by the CSP network. A gateway of the edge location is updated to direct packets addressed to the second network address to the compute instance via use of the first network address.

IPC Classes  ?

15.

Stylus input latency compensation system

      
Application Number 18307397
Grant Number 12293040
Status In Force
Filing Date 2023-04-26
First Publication Date 2025-05-06
Grant Date 2025-05-06
Owner AMAZON TECHNOLOGIES, INC. (USA)
Inventor
  • Gao, Shuang
  • Thomas, Jim Oommen
  • Zhang, Jingyi
  • Jiang, Songyao
  • Luo, Junwu

Abstract

A stylus provides input via a touchscreen comprising a touch sensor and a display. Latency between placement of a stylus tip and corresponding presentation of visual indicia on the display is reduced or eliminated by determining a predicted path of the stylus tip during a stroke. Visual indicia is presented on the display, based on the predicted path. Inputs from the touch sensor may include hover events associated with detection of the tip while not in contact with the touchscreen and touch events associated with presence of the tip on the touchscreen. A machine learning network may be trained to determine the predicted path. A portion of the network may be trained to accept dynamic-length sequences of events and generate fixed length sequences, reducing subsequent network complexity. A hand may be detected and used to determine the predicted path. The end of a stroke may be predicted, reducing overshoot.

IPC Classes  ?

  • G06F 3/041 - Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
  • G06F 3/0354 - Pointing devices displaced or positioned by the userAccessories therefor with detection of 2D relative movements between the device, or an operating part thereof, and a plane or surface, e.g. 2D mice, trackballs, pens or pucks

16.

Camera mount

      
Application Number 29909139
Grant Number D1073771
Status In Force
Filing Date 2023-08-01
First Publication Date 2025-05-06
Grant Date 2025-05-06
Owner AMAZON TECHNOLOGIES, INC. (USA)
Inventor
  • Bowers, Alexsandra M.
  • Grearson, Paul Douglas
  • Hruska, Ryan David
  • Siminoff, James
  • Takhchi, Youssef
  • Hinds, Treasure
  • Janky, Greg
  • Specht, Alexandra

17.

Low-latency paths for data transfers between endpoints which utilize intermediaries for connectivity establishment

      
Application Number 17937399
Grant Number 12294521
Status In Force
Filing Date 2022-09-30
First Publication Date 2025-05-06
Grant Date 2025-05-06
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Torretta, Ethan Joseph
  • Thompson, Schuyler David
  • Camacho Ruiz, Jose De Jesus
  • Bannert, Aaron Graydon
  • Puligundla, Gowtham Kumar

Abstract

A network function execution intermediary obtains a result of execution of a set of network functions on a particular packet directed to a service from a client program running at a first host. Using the result, the packet is delivered to a request handler of the service, running at a second host; the path used for delivering the particular packet includes the network function execution intermediary. A networking manager of the first host obtains a rule for determining results of the set of network functions with respect to additional packets directed from the client program to the service. The networking manager causes, using the rule, another packet originating at the client program to be delivered to the request handler via a different path which does not include the network function execution intermediary.

IPC Classes  ?

  • H04L 47/125 - Avoiding congestionRecovering from congestion by balancing the load, e.g. traffic engineering
  • H04L 67/1004 - Server selection for load balancing

18.

Creating new workloads for launch wizards

      
Application Number 18082750
Grant Number 12293202
Status In Force
Filing Date 2022-12-16
First Publication Date 2025-05-06
Grant Date 2025-05-06
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Paulsen, Joseph
  • Dhelia, Apoorva
  • Nesbit, Nathan Eldon
  • Abdallah, Mohamed Gaber Ab
  • Bhargava, Vidit
  • Manghnani, Savita Ganeshomal

Abstract

Techniques implemented by a launch wizard of a cloud computing system to enable developers to create new workloads that can be launched by the launch wizard in the cloud computing system. Launch wizards offer users with guided experiences for identifying and deploying resources needed to support workloads of applications running in cloud computing systems. However, it is difficult for developers to create new workloads for the launch wizard to support. This disclosure describes a development platform through which developers create new workloads for the launch wizard to launch on behalf of users. The development platform provides a console through which developers define new workloads using a metadata language, and dynamically generates and presents a provisioning form that describes the new workloads. Once developers have finished defining new workloads, the new workloads are registered with the launch wizard such that users can use the launch wizard to launch the new workloads.

IPC Classes  ?

  • G06F 9/451 - Execution arrangements for user interfaces
  • G06F 3/04847 - Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
  • G06F 40/174 - Form fillingMerging
  • H04L 9/40 - Network security protocols

19.

Techniques for uploading network applications

      
Application Number 17850943
Grant Number 12293177
Status In Force
Filing Date 2022-06-27
First Publication Date 2025-05-06
Grant Date 2025-05-06
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Roberts, Greg
  • Parisi Presicce, Michael Jacob
  • Brown, Skyler J.
  • Valencia, Luis

Abstract

This disclosure describes, in part, techniques for uploading network applications. For instance, system(s) may initially receive first data representing a first version of a network application and a first manifest that includes information describing the file contents of the first version. The system(s) may then store the first data and the first manifest within one or more databases. After the network application is updated to a second version, the system(s) may receive a second manifest that includes information describing the file contents of the second version of the network application. The system(s) may then use the first manifest and/or the second manifest to identify files that have been modified to create the second version of the network application. The system(s) may then receive second data representing the identified files and then reconstruct the second version of the network application using the first data and the second data.

IPC Classes  ?

20.

Docking station

      
Application Number 29835936
Grant Number D1073682
Status In Force
Filing Date 2022-04-22
First Publication Date 2025-05-06
Grant Date 2025-05-06
Owner AMAZON TECHNOLOGIES, INC. (USA)
Inventor
  • Koh, Hong-Bin
  • Krasnoshchok, Oleksii
  • Siminoff, James
  • Hsieh, Hung-Yen

21.

Earbud

      
Application Number 29966513
Grant Number D1073649
Status In Force
Filing Date 2024-10-02
First Publication Date 2025-05-06
Grant Date 2025-05-06
Owner AMAZON TECHNOLOGIES, INC. (USA)
Inventor
  • Laffon De Mazieres, Emmanuel
  • Mcwilliam, Giles David Matthew

22.

Security for generative models using attention analysis

      
Application Number 18527696
Grant Number 12292915
Status In Force
Filing Date 2023-12-04
First Publication Date 2025-05-06
Grant Date 2025-05-06
Owner AMAZON TECHNOLOGIES, INC. (USA)
Inventor
  • Majmudar, Jimit
  • Gupta, Rahul
  • Smith, Ben
  • Joglekar, Sachin P.

Abstract

Devices and techniques are generally described for security threat mitigation for generative machine learning models. In some examples, first prompt data including first data associated with a first natural language input and a first span may be determined. An LLM may determine first plan data using the first prompt data. The first plan data may include a call to the first API. A first classifier model may determine a first trust score for the first span. A first attention score may be determined for the first span and the first action plan. Second plan data may be generated based on at least one of the first trust score and the first attention score or the second trust score and the second attention score.

IPC Classes  ?

  • G06F 16/383 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
  • G06F 16/35 - ClusteringClassification
  • G06F 40/40 - Processing or translation of natural language

23.

Distributed transaction execution across shards of scalable database tables

      
Application Number 17937430
Grant Number 12292881
Status In Force
Filing Date 2022-09-30
First Publication Date 2025-05-06
Grant Date 2025-05-06
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Verbitski, Alexandre Olegovich
  • Govindagowda, Upendra
  • Thakur, Anand Kumar
  • Gupta, Gaurav Kumar
  • Wein, David Charles
  • Mohideen, Saleem
  • Thanka Nadar, Navaneetha Krishnan
  • Brahmadesam, Murali

Abstract

Distributed execution of transactions may be performed across shards of a scalable database table. Instructions to perform as part of a transaction with respect to one or more database tables may be received. The instructions may be evaluated with respect to metadata obtained for the database tables to determine an assignment distribution of computing resources of the database system to data that can satisfy the access request. The commit protocol for the transaction may be determined according to the assignment distribution of the computing resources. After a request to commit the transaction is received, the transaction may be committed according to the determined commit protocol.

IPC Classes  ?

24.

blink

      
Application Number 019181412
Status Pending
Filing Date 2025-05-01
Owner Amazon Technologies, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 38 - Telecommunications services
  • 42 - Scientific, technological and industrial services, research and design
  • 45 - Legal and security services; personal services for individuals.

Goods & Services

Devices and software for use to connect and control internet of things (IoT) devices; devices for home monitoring, control, and automation; security surveillance apparatus; alarm monitoring systems; devices and computer software that allow the sharing and transmission of data and information between devices for the purposes of facilitating home monitoring, control, and automation; data processing equipment; intercommunication apparatus; home automation control devices; stand-alone voice controlled information devices; anti-intrusion and anti-theft warning apparatus and devices; theft prevention installations; security control apparatus; photographic apparatus and instruments; optical apparatus and instruments; apparatus for recording, transmission or reproduction of sound or images; computer hardware and software for processing, reproducing, synchronizing, recording, organizing, downloading, uploading, transmitting, streaming, receiving, playing and viewing images, audio, video and data files; communication devices for voice, data, or image transmission; voice and data transmitters and receivers; computer software; electronic doorbells; electronic doorbells with a camera allowing persons to identify who is at their door from remote locations; electronic door entry systems; electronic locks; motion sensors, alarms, alarm sensors, alarm systems, sensors and detectors, and speakers; video monitors; security cameras; video cameras for monitoring the interior and exterior of residences and commercial buildings, and wireless controllers to remote monitoring, control, and automation; video streaming devices, video recording, and video receiving devices; cameras; solar powered cameras; webcams; apparatus and devices providing night vision; alarm system and camera mounts and stands; environmental hazard detectors, namely, devices that detect and record the presence of water, humidity levels, heat, temperature, movement, motion, and sound; closed circuit television apparatus and cameras; pet and baby monitors, pet viewing units; electric signs; security software; computer software for sharing videos; computer application software for sharing videos; computer software and software applications for home security, surveillance, monitoring, control, and automation; software and software applications permitting users to identify and communicate with persons at their door; software development kits (SDKs) consisting of computer software for the development, use, and interoperability of APIs that are used by electronic devices, systems, and interchanges that exchange data via communications networks and the internet and that connect with cloud-based data storage and exchange services; software development kits (SDKs) comprising of software development tools and software for use as an application programming interface (API) for creating software and applications related to theft-prevention and security systems, and home and business surveillance systems; voice command and recognition software; computer software used for controlling stand-alone voice controlled information and personal assistant devices; electronic video surveillance products, namely, electronic components of security systems; navigation software for use with smart, autonomous vehicles and mobile machines for use in connection with internet of things (IoT) enabled devices; software for use in tracking and monitoring position and range of smart, autonomous vehicles and mobile machines for use in connection with internet of things (IoT) enabled devices; electronic systems, equipment and instruments, namely behavior engine software, positioning engine software, positioning sensors and dynamic intelligent software and sensors for use in connection with internet of things (IoT) enabled devices; automated self-contained electronic surveillance devices that can be deployed to gather evidence or intelligence; wearable activity trackers; wearable cameras; wearable computers in the nature of smartwatches; wearable computers in the nature of smart glasses; wearable video display monitors; Communications headsets for use with mobile phones, communication radios, intercom systems, or other communications network transceivers; vehicle camera mounts; safety alarms, namely, carbon monoxide alarms, smoke alarms, fire alarms, gas leak alarms, water leak alarms, and water freeze alarms; downloadable computer software for use in collecting, monitoring, storing, sharing, and transmitting data from networked safety sensors and networked safety alarms; transmitter and receiver used to locate lost pets; computer hardware and software for tracking the location of pets; computer hardware and downloadable software for users to locate, monitor, and track the position of personal property; GPS tracking devices for locating, monitoring, and tracking the position of personal property; electronic devices for users to locate, monitor, and track personal property programmed to use global positioning systems (GPS) and cellular communications; transmitter and receiver to enable users to locate, monitor, and track personal property; downloadable software for users to monitor position and range of location-tracking devices used in connection with internet of things (IOT) enabled devices for locating, monitoring, and tracking personal property. Telecommunication services; electronic communication services, namely, transmission of information by electronic communications networks; electronic transmission of data, audio, video, and audio/video files via global computer network; transmission of messages, voice, data, video, and images through a global computer network; video broadcasting services over the Internet or other communications network, namely, electronically transmitting video clips; video communication services; streaming of data; providing voice communication services via the Internet; subscription-based video-on-demand transmission of programs; wireless broadband communications services, namely, video broadcasting services; video telephone services; data communication by electronic mail; consultancy and advisory services relating to telecommunications services; internet broadcasting services; providing voice communication services over the Internet, namely, voice over internet protocol (VOIP) services. Platform as a service featuring computer software for use to connect and control internet of things (Iot) electronic devices; software as a service (SAAS) services featuring computer software for use to connect and control internet of things (Iot) electronic devices; platform as a service (PAAS) featuring computer software platforms for use with home and environmental monitoring, control, and automation systems; software as a service (SAAS) services featuring computer software for use with home and environmental monitoring, control, and automation systems; platform as a service featuring computer software for connecting, operating, integrating, controlling, and managing networked consumer electronic devices; software as a service (SaaS) featuring computer software for connecting, operating, integrating, controlling, and managing networked consumer electronic devices; application service provider (ASP) services featuring software for controlling, integrating, operating, connecting, and managing voice controlled information devices, namely, cloud-connected and voice-controlled smart consumer electronic devices; software as a service (SAAS) in the form of security and anti-theft software applications; providing temporary use of online non-downloadable security and anti-theft software applications; software as a service (SAAS) in the form of software applications permitting users to identify and communicate with persons at their door; providing temporary use of online non-downloadable software applications permitting users to identify and communicate with persons at their door; software as a service (SAAS) in the form of voice command software applications; computer services, namely, providing an internet site featuring technology for use in home monitoring, control, and automation systems; computer services, namely, providing an internet portal featuring technology enabling users to remotely interact with home and environmental monitoring, control, and automation systems; providing temporary use of online non-downloadable software for recording, viewing, storing, sharing and analyzing online audio and video; providing temporary use of online non-downloadable software for the management and transmission of data; design and development of computer hardware and software; hosting a website for the electronic storage of data; monitoring of computer systems by remote access; monitoring of camera systems by remote access; installation, maintenance and repair of computer software; cloud recording and storage services; electronic storage of electronic media, namely, images, text, audio, and video data; providing an online non-downloadable internet-based application featuring technology enabling users to share videos; providing an on-line network environment that features technology that enables users to share data; providing temporary use of online non-downloadable software for recording, viewing, storing, sharing, and analyzing data; information technology support services; provision of technical support; consultancy and advisory services relating to the aforesaid services. Home security monitoring services; consultancy, advisory and information services relating to home and business security monitoring; electronic monitoring and security services for residential and commercial properties; providing information about safety and crime prevention; providing a website featuring information about safety and crime prevention; services comprising the analysis of video and audio recorded for home security monitoring purposes; monitoring of camera systems by remote access to detect home security invasions and breaches of home perimeters; monitoring of computer systems by remote access to detect home security breaches; surveillance services relating to the physical safety and security of persons and property; security services, namely, providing security personnel to monitor residential and commercial properties.

25.

SCENE BASED AUDIO MIXING FOR GENERATING AUDIO DESCRIPTION CONTENT

      
Application Number 18536053
Status Pending
Filing Date 2023-12-11
First Publication Date 2025-05-01
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Amol, Akash
  • Manocha, Ankit Prem
  • Sharma, Mayank
  • Singhal, Ashutosh
  • Rajagopalan, Jayashree
  • Ajewole, Ayotomiwa

Abstract

The present disclosure generally relates to systems and methods for generating an AD content. In some implementation examples, an AD content system obtains and input audio and an AD narration, and normalizes a loudness of a section of the AD narration using a loudness of the input audio during a scene that the section corresponds to for generating a normalized section. Based on a loudness of the normalized section, the AD content system compresses a first audio channel of the input audio during the scene to generate a first compressed audio channel, and mix the normalized section to the first compressed audio channel during the scene to generate a first sound channel of the AD content.

IPC Classes  ?

26.

CONFIGURING APPLICATIONS FOR NATURAL LANGUAGE PROCESSING

      
Application Number 19007775
Status Pending
Filing Date 2025-01-02
First Publication Date 2025-05-01
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Singh, Veer Yuganter
  • Prabhu, Akshai
  • Thiagalingam, Pravin
  • Chiu, Oliver Sinsik

Abstract

A system that determines which applications operating on a device are capable of processing natural language processing results. As applications are added or removed, the device may update its own registry information as well as registry information for a remote system, thus ensuring continuity between a local natural language processing pipeline and a remote natural language processing pipeline. When natural language processing is performed, the system can send the results to a corresponding application operating on a local device for further operation, execution, or the like.

IPC Classes  ?

  • G10L 13/02 - Methods for producing synthetic speechSpeech synthesisers
  • G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog

27.

PROPAGATING RESOURCE SCALING INFORMATION BETWEEN SOURCE AND TARGET DATA STORES OF A MATERIALIZED VIEW

      
Application Number 19008360
Status Pending
Filing Date 2025-01-02
First Publication Date 2025-05-01
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Vig, Akshat
  • Kuppahally, Sharatkumar Nagesh
  • Curran, Bradley James

Abstract

A materialized view management service (MVMS) is capable of monitoring resource allocation changes of a source data object at a source data store and responsively generating resource change alerts to the owner of a target data object (the materialized view) in the target data store. Resource allocation changes may include autoscaling changes to the source data object's partition scheme, throughput limit, storage limit, and the like. The MVMS generates resource change alerts in response to these detected events and pushes the alerts to interested subscribers. Depending on the embodiment, the alerts may be pushed to human administrators, or the target data store itself, which may be configured to automatically adjust the resource allocation of the target data object to match the source data object. Advantageously, the disclosed alerts allow view owners to gain real time visibility of resource auto-scaling at the data source and appropriately react to such changes.

IPC Classes  ?

28.

FLEET DATA COLLECTION USING A UNIFIED MODEL TO COLLECT DATA FROM HETEROGENOUS VEHICLES

      
Application Number 18940406
Status Pending
Filing Date 2024-11-07
First Publication Date 2025-05-01
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Ramnani, Bhushan
  • Martin, Yohan
  • Stadler, Florian Johannes
  • Aleksiuk, Michael Anthony
  • Law, Ivan

Abstract

A system comprising one or more computing devices implements a vehicle information extraction service. The vehicle information extraction service enables customers to maintain a model of a fleet of vehicles and collect vehicle information from heterogenous vehicles included in the fleet, wherein the vehicles are configured with different in-vehicle communication configurations. The vehicle information extraction service automatically generates scheme packets for data collection to be sent to the heterogenous vehicles, wherein are formatted in accordance with the different respective in-vehicle communication configurations of the heterogenous vehicles, without the customer of the vehicle information extraction service having to account for these differences.

IPC Classes  ?

  • G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
  • G07C 5/00 - Registering or indicating the working of vehicles
  • G07C 5/10 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time using counting means or digital clocks
  • H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
  • H04L 69/04 - Protocols for data compression, e.g. ROHC

29.

HEAT SINKS FOR BARE DIE MULTI-CHIP PACKAGES

      
Application Number 19009398
Status Pending
Filing Date 2025-01-03
First Publication Date 2025-05-01
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Elashri, Ali
  • Megarity, William Mark
  • Conroy, Ryan F.
  • Agarwal, Chetan Sanjay
  • Choudhary, Priti

Abstract

Various mounting systems for mounting heat sink apparatus to bare die processors are disclosed. The mounting systems include an upper plate, which may include a heat transfer portion, positioned in proximity to the upper surface of bare die processors to provide heat conduction away from the processors. The disclosed mounting systems secure the upper plate to the processors with balanced and centralized forces to inhibit tilting of the upper plate and reduce the risk of damaging the processors.

IPC Classes  ?

  • G06F 1/18 - Packaging or power distribution
  • G06F 1/20 - Cooling means
  • H05K 7/20 - Modifications to facilitate cooling, ventilating, or heating

30.

CAPACITY CLUSTER RESOURCE RESERVATIONS IN A CLOUD PROVIDER NETWORK

      
Application Number 18497806
Status Pending
Filing Date 2023-10-30
First Publication Date 2025-05-01
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Wilson, Darren Edward
  • Vagvala, Mahadev
  • Bulbul, Kerem
  • Ramalingam, Subramanian Pranesh
  • Siddall, Jacob Anthony
  • Akinde, Lee Ann Hilda
  • Huynh, Khanh Ngoc Han
  • Pinto, Elton Victor
  • Kolipaka, Laxman Kasyap
  • Naderi, Bahman

Abstract

Techniques for implementing and utilizing capacity cluster resource reservations are described. A managed compute service receives a user's request to identify a capacity block for use in launching compute instances. A schedule with pre-computed blocks, each corresponding to an amount of instances and an amount of time, is used to identify a block satisfying the request's criteria. The user can later obtain the capacity block and launch instances into the reservation during its time window, where placement rules associated with the reservation ensure the instances are hosted in locations enabling low-latency intercommunications.

IPC Classes  ?

  • G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]

31.

Collection tube seal

      
Application Number 29869720
Grant Number D1073066
Status In Force
Filing Date 2023-01-06
First Publication Date 2025-04-29
Grant Date 2025-04-29
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Govindasamy, Gururaj
  • Farshi, Jasmin B.

32.

Floor plan repair system for autonomous mobile devices

      
Application Number 17545587
Grant Number 12287639
Status In Force
Filing Date 2021-12-08
First Publication Date 2025-04-29
Grant Date 2025-04-29
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Queiroz, Tiago Etiene
  • Sharma, Nikhil
  • Srivastava, Prashant Anand

Abstract

Systems and techniques for generation, storage, and updating of common floor plans across shared autonomous mobile devices. The systems and techniques include extraction of semantically meaningful data from one or more occupancy maps to provide a floorplan to a user that aligns with the user's understanding of the space using heuristics and machine learning techniques. The techniques also enable repair of damaged or inconsistent floor plan geometries through the use of polygon triangulation and graph cuts.

IPC Classes  ?

  • G05D 1/639 - Resolving or avoiding being stuck or obstructed
  • G05D 1/00 - Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
  • G06T 17/20 - Wire-frame description, e.g. polygonalisation or tessellation

33.

Outcome-oriented dialogs on a speech recognition platform

      
Application Number 18407271
Grant Number 12288561
Status In Force
Filing Date 2024-01-08
First Publication Date 2025-04-29
Grant Date 2025-04-29
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Beal, Jeff Bradley
  • Charter, Kevin Robert
  • Gopalakrishnan, Ajay
  • Kshirsagar, Sumedha Arvind
  • Kumar, Nishant

Abstract

A speech recognition platform configured to receive an audio signal that includes speech from a user and perform automatic speech recognition (ASR) on the audio signal to identify ASR results. The platform may identify: (i) a domain of a voice command within the speech based on the ASR results and based on context information associated with the speech or the user, and (ii) an intent of the voice command. In response to identifying the intent, the platform may perform multiple actions corresponding to this intent. The platform may select a target action to perform, and may engage in a back-and-forth dialog to obtain information for completing the target action. The action may include streaming audio to the device, setting a reminder for the user, purchasing an item on behalf of the user, making a reservation for the user or launching an application for the user.

IPC Classes  ?

  • G10L 17/00 - Speaker identification or verification techniques
  • G06F 3/16 - Sound inputSound output
  • G10L 15/00 - Speech recognition
  • G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog

34.

Managing network capacity based upon simulation of failures of network devices

      
Application Number 18216385
Grant Number 12289209
Status In Force
Filing Date 2023-06-29
First Publication Date 2025-04-29
Grant Date 2025-04-29
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Evans, John William
  • Elmokashfi, Ahmed

Abstract

A system is described that combines outputs of network simulations, which are used for capacity planning, with empirical data of network element failure probabilities, to produce what traffic utilization is needed for each network device interface to achieve a specified availability target. Utilization of each interface can be captured for each failure case simulated. From this failure data, the utilization distribution for each link can be produced, across all failure cases. This utilization-by-failure data from simulation is combined with the empirical mean-time between failure (MTBF) and mean-time to recovery (MTTR) of each failure from the span reliability data set. This allows for a prediction of what percentage of time the interface is utilized. Thus, a relationship is established between the capacity provisioned and the percentage of time that the capacity will be uncongested. Network devices can then be added to the network to establish the availability target.

IPC Classes  ?

  • G06F 15/177 - Initialisation or configuration control
  • H04L 41/12 - Discovery or management of network topologies
  • H04L 43/062 - Generation of reports related to network traffic
  • H04L 43/55 - Testing of service level quality, e.g. simulating service usage

35.

Beamforming using multiple sensor data

      
Application Number 17849823
Grant Number 12288566
Status In Force
Filing Date 2022-06-27
First Publication Date 2025-04-29
Grant Date 2025-04-29
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Ganguly, Anshuman
  • Kandadai, Srivatsan
  • Kristjansson, Trausti Thor
  • Kim, Wontak

Abstract

A device capable of using data from multiple sensors to determine an estimated position/direction of a user with respect to the device. The device may use estimated position data, along with confidence data, that originated from a plurality of sensors to fuse the data to determine the user's estimated position and comprehensive confidence of the estimated position. The system may use the location information to perform beamforming/beam steering and/or other downstream operations using the comprehensive estimated position.

IPC Classes  ?

  • G10L 21/0216 - Noise filtering characterised by the method used for estimating noise
  • G10L 21/0264 - Noise filtering characterised by the type of parameter measurement, e.g. correlation techniques, zero crossing techniques or predictive techniques
  • G10L 25/51 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination
  • G10L 25/78 - Detection of presence or absence of voice signals

36.

Computer-implemented authentication integrity challenge for a cloud provider network

      
Application Number 18333204
Grant Number 12289305
Status In Force
Filing Date 2023-06-12
First Publication Date 2025-04-29
Grant Date 2025-04-29
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Best, Christopher
  • Gordon, Benjamin
  • Taing, Nicolas
  • Lacy, Ryan Mark

Abstract

Techniques for providing a computer-implemented authentication integrity challenge (AIC) service are described. According to some examples, a computer-implemented method includes receiving, at a cloud provider network, a first request from an end customer device to log into an end customer account of the cloud provider network; sending, in response to the first request, a second request that does not include login credentials for the end customer account from the cloud provider network to a challenge provider service separate from the cloud provider network for the first request; receiving, by the cloud provider network, a validation indication from the challenge provider service that indicates the second request is validated by an integrity challenge of the challenge provider service; generating, by the cloud provider network, a proof based on the validation indication; sending the proof by the cloud provider network to the end customer device; receiving, by the cloud provider network, a third request from the end customer device that comprises the login credentials and the proof sent by the cloud provider network; and logging the end customer device into the end customer account in response to the proof provided in the third request being validated by the proof generated by the cloud provider network and the login credentials provided in the third request matching corresponding login credentials for the end customer account.

IPC Classes  ?

  • H04L 9/40 - Network security protocols
  • H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system

37.

Device for determining pinch point(s) along conveyor(s)

      
Application Number 18129318
Grant Number 12289539
Status In Force
Filing Date 2023-03-31
First Publication Date 2025-04-29
Grant Date 2025-04-29
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Garcia, Gines Garcia
  • Celemin Peinado, Victor
  • Gutierrez De Uriarte Calvo, Anibal Jose

Abstract

A device includes a battery, a container, a frame, a first imaging device disposed at least partially within the container and coupled to the frame, a second imaging device disposed at least partially within the container and coupled to the frame, and a third imaging device disposed at least partially within the container and coupled to the frame. The first imaging device is oriented in a first direction, the second imaging device is oriented in a second direction that is different than the first direction, and the third imaging device is oriented in the second direction.

IPC Classes  ?

  • H04N 23/90 - Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums
  • H04N 7/18 - Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
  • H04N 23/56 - Cameras or camera modules comprising electronic image sensorsControl thereof provided with illuminating means
  • H04N 23/57 - Mechanical or electrical details of cameras or camera modules specially adapted for being embedded in other devices

38.

Device mount

      
Application Number 29866702
Grant Number D1072832
Status In Force
Filing Date 2022-09-23
First Publication Date 2025-04-29
Grant Date 2025-04-29
Owner AMAZON TECHNOLOGIES, INC. (USA)
Inventor
  • Lu, Wen-Yo
  • Donskoi, Mikhail
  • England, Matthew J.
  • Krasnoschok, Oleksii
  • Shekolian, Oleksii
  • Siminoff, James

39.

amazon music

      
Application Number 019179298
Status Pending
Filing Date 2025-04-28
Owner Amazon Technologies, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 16 - Paper, cardboard and goods made from these materials
  • 18 - Leather and imitations of leather
  • 25 - Clothing; footwear; headgear
  • 35 - Advertising and business services
  • 38 - Telecommunications services
  • 41 - Education, entertainment, sporting and cultural services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Apparatus for recording, transmission or reproduction of sound or images; data processing equipment, computer software; computer software for streaming, broadcasting, transmitting, distributing, reproducing, organizing and sharing music, audio, video, games, audiovisual, multimedia content and other data via a global communications network; computer software for use in authoring, downloading, transmitting, receiving, editing, extracting, encoding, decoding, playing, viewing, storing and organizing text, data, images, audio and video files, and multimedia content; computer software to enable users to view or listen to audio, video, text and multimedia content; computer software for creating and providing user access to searchable databases of information, data and digital music; search engine software; computer software for wireless content delivery; computer software for accessing online information; computer software for facilitating payments and online transactions; computer software for use in disseminating advertising for others; computer software for use in sharing information about products, services, and deals; computer software for electronic storage of data; computer software for image and speech recognition; computer software for home automation; computer software for purchasing, accessing and viewing, videos, music, and multimedia content; internet browser software; audiovisual recordings featuring entertainment programs; downloadable music files; downloadable audiovisual and multimedia content via a video-on-demand service; downloadable motion pictures and television shows featuring fiction and non-fiction stories on a variety of topics, and audio and video recordings featuring fiction and non-fiction stories on a variety of topics; downloadable audio and video recordings; downloadable audio files, multimedia files, text files, written documents, audio material, video material; downloadable mobile applications to enable users access to music, audio, video, games, audiovisual, multimedia content and other data; digital media streaming devices; portable and handheld electronic devices for transmitting, storing, manipulating, recording, and reviewing text, images, audio, video and data, including via global computer networks, wireless networks, and electronic communications networks and electronic and mechanical parts and fittings thereof; headphones and earphones; speakers, microphones, and headsets; cases, covers, and stands for portable and handheld electronic devices and computers; remote controls for portable and handheld electronic devices and computers; computer software for the collection, organizing, modifying, book marking, transmission, storage, and sharing of data and information; software for text, image and sound transmission and display; computer software for online shopping; computer hardware; handheld devices for controlling televisions, speakers, amplifiers, stereo systems, and entertainment systems; computer software for information management; database synchronization software; computer programs for accessing, browsing, and searching online databases; software for the synchronization of data between a remote station or device and a fixed or remote station or device; software for telecommunication and communication via local or global communications networks; software for access to communications networks including the internet; software for analyzing and recovering data; media players, audio speakers; audio components and accessories; audio amplifiers and receivers; sound effect apparatus and instruments for use with musical instruments; audio speakers, telephone apparatus, telecommunication devices, and computers for use in motor vehicles; voice recording and voice recognition apparatus; network communication apparatus; electronic communication equipment and instruments; stereo systems, home theater systems, and home entertainment systems; application development software; computer software for configuring, operating and controlling mobile devices, wearable devices, mobile phones, computers, and computer peripherals, and audio and video players; computer software for creating searchable databases of information and data for peer-to-peer social networking databases; computer game software; phonograph records; straps, armbands, lanyards and clips for portable and handheld digital electronic devices for recording organizing, transmitting, manipulating, and reviewing text, data, audio, image and video files; bags and cases adapted or shaped to contain digital music and/or video players, hand held computers, personal digital assistants, electronic organizers and electronic notepads; user manuals in electronically readable, machine readable or computer readable form for use with, and sold as a unit with, the aforesaid goods; computer software for use in generating customized recommendations of audio, video, data, text and other multimedia content, including music, concerts, videos, radio, television, cultural events and entertainment-related programs determined from an analysis of user preferences; computer software for use in connection with an online music subscription service; computer software for use in the delivery, distribution and transmission of digital music and entertainment-related audio, video, text and multimedia content; computer software for use in organizing, recording, transmitting, manipulating, and reviewing text, data, audio files, and video files in connection with computers, music players, video players, media players and portable and handheld digital electronic devices; computer software to enable users to program audio, video, text and other multimedia content, namely, music, concerts, videos, radio, entertainment-related and educational programs via communications networks; computer application software for use with mobile computer hardware and mobile devices for use in providing users with access to searchable databases; downloadable software for computers and mobile devices providing search functionality and featuring an entertainment database; downloadable computer software for formatting and converting content, text, visual works, audiovisual works, data, files and electronic works into a format compatible with portable electronic devices and computers; downloadable computer software enabling content, text, visual works, audiovisual works, data, files and electronic works to be downloaded to and accessed on a computer or other portable consumer electronic device; optical glasses; sunglasses; eye glass cases. Paper gift cards, printed gift certificates, non-magnetically encoded prepaid purchase cards for online purchase of entertainment content via the internet; printed posters; printed visuals in the nature of photographs for use as promotional materials for others. Backpacks; bags, namely, all-purpose carrying bags. Clothing, namely, blouses, shirts, t-shirts, sweatshirts, tunics, pants, denim jeans, slacks, shorts, jerseys, leggings, skirts, dresses, jumpsuits, sweaters, pullovers, hoodies, tracksuits, scarves, jackets, coats, vests, athletic tights, gloves, mittens, socks, wristbands, loungewear, lingerie, hosiery, sleepwear, pajamas, belts, neckwear, ties, and swimwear; footwear; headwear. Advertising; business management; business administration; office functions; providing online retail store services featuring music recordings, comedy recordings, spoken word recordings, video recordings, and music related products; providing advertising space for others on the internet; subscription-based and online retail store services featuring downloadable prerecorded music and video; online ordering services featuring prerecorded music and video; subscription-based online retail store services featuring downloadable prerecorded music and video; subscription-based online retail store services featuring subscriptions to electronic journals, subscriptions to information media packages; arranging subscriptions to telecommunication services for others; arranging subscriptions for online publications of others; arranging of subscriptions for books, reviews, newspapers, comic books, ebooks, audio books, films, music and music downloads. Broadcasting and transmission of voice, data, images, music, audio, video, multimedia, television, and radio by means of telecommunications networks; Telecommunications; Video-on-demand transmission; internet protocol television (IPTV) transmission services; electronic transmission of streamed and downloadable audio and video files via computer and other communications networks; electronic transmission of information and data; electronic transmission and streaming of digital media content for others via global and local computer networks; telecommunication services, namely, transmission and streaming of voice, data, images, films, television programs, audio and audiovisual programs and other digital media content and information by means of telecommunications networks, wireless communication networks, and the internet; streaming of audio, video and audiovisual material on the internet, communications networks and wireless telecommunications networks; streaming of data; streaming of music, films, movies, TV shows and games on the internet; broadcasting services; audio and video broadcasting services; broadcasting of cinematographic films and audiovisual programs; subscription-based audio and video broadcasting services over the internet; broadcasting services and provision of telecommunication access to films, television programs, audio and audiovisual programs and other digital media content and information, provided via a video-on-demand service; internet broadcasting services; internet radio broadcasting services; telecommunication services, namely, transmission of webcasts; transmission of digital files; transmission of digital content by computer networks, the internet, DSL, cable networks, digital download, digital streaming, video-on-demand, near-video-on-demand, TV, free-to-air TV, pay-per-view TV, satellite, cable, telephone or mobile telephone; electronic transmission of digital photo files among internet users; providing access to online directories, databases, websites, blogs and reference materials; transmission of news; delivery of messages by electronic transmission; electronic transmission of mail and messages; podcasting services; providing on-line chat rooms for social networking; providing an on-line forum for transmission of messages among computer users and the transmission of photos, videos, text, data, images and sound; telecommunications services, namely, providing online electronic bulletin boards for the transmission of messages among computer users concerning entertainment; providing telecommunication connectivity services for the transfer of images, messages, audio, visual, audiovisual and multimedia works among mobile phones, smartphones, portable electronic devices, portable digital devices, tablets, or computers; communication between computers; provision of access time to multimedia materials on the internet; provision of telecommunications connections to computer databases; transmission of data by audio-visual apparatus controlled by data processing apparatus or computers; telecommunications routing and junction services. Education; providing of training; entertainment; sporting and cultural activities; entertainment services, namely, providing information via a global computer network in the field of entertainment and entertainment-related topics; providing a website featuring non-downloadable audio, video and audiovisual content in the nature of recordings featuring movies, TV shows, videos and music; entertainment services, namely, providing temporary use of non-downloadable online video; provision of non-downloadable videos featuring programs on a wide variety of entertainment topics via a video-on-demand service; distribution and rental of entertainment content, namely computerized on-line searching and ordering service featuring movies, motion pictures, documentaries, films, television programs, graphics, animation and multimedia presentations, and other audiovisual works in the form of digital downloads and direct digital transmission viewable over computer networks and global communication networks; film, movie, TV show and video production and distribution; creating and developing concepts for movies and television programs; audio and video recording services; providing a searchable database featuring audio, video and audiovisual content through the internet, telecommunications networks and wireless telecommunications networks in the field of movies, TV shows, videos and music; providing online radio programming; digital audio, video and multimedia publishing services; entertainment services, namely, providing non-downloadable prerecorded music and audio programs featuring fiction and non-fiction stories on a variety of topics, and information in the field of music, and commentary and articles about music, all on-line via a global computer network; entertainment services, namely, live visual and audio performances, musical, variety, news, dramatic and comedy shows; entertainment services, namely, providing virtual environments in which users can interact for recreational, leisure or entertainment purposes; entertainment services, namely, providing a website featuring the ratings and reviews of television, movies, videos, music, screenplays, scripts, books and video game content; entertainment information; providing online news, information and commentary in the field of entertainment; online journals, namely, blogs featuring information about entertainment; arranging of contests; sweepstake services; publishing of books, magazines, periodicals, literary works, visual works, audio works, and audiovisual works; presenting live musical concerts and performances; music production services; music publishing services; entertainment services, namely, profiling of musicians, artists and bands by providing non-downloadable video clips of musical performances over a global computer network; providing non-downloadable interactive resource for searching, selecting, managing, and viewing audiovisual content in the nature of recordings featuring movies, TV shows, videos and music; providing online newsletters in the field of television, movies, and videos via e-mail; translation and interpretation services; providing online electronic publications, not downloadable; publication of texts, other than publicity texts; writing of texts, other than publicity texts; rental of audio equipment; movie theatre presentations; arranging and conducting of concerts; entertainment, amusements; game services provided on-line from a computer network; providing karaoke services; movie studios; music composition services; organization of shows [impresario services]; radio entertainment; production of radio and television programmes; rental of sound recordings; subtitling; television entertainment; theatre productions; organization of competitions [education or entertainment]; organization of exhibitions for cultural or educational purposes; recording studio services. Computer software services, namely, technical support services for video and music recognition software; providing non-downloadable software for sound, video, and music recognition; providing non-downloadable software enabling discovery, interaction with, and sharing of audio, video, printed, multimedia or augmented reality content; providing online non-downloadable software for use in creating and sharing playlists of audio and multimedia files; providing online non-downloadable software for use in playing, organizing, downloading, transmitting, manipulating, and reviewing audio files and media files; providing online non-downloadable software for use in the delivery, distribution and transmission of digital music and entertainment-related audio, video, text and multimedia content; computer services, namely, providing customized web pages and other data feed formats featuring a user-customized feed of information in the fields of news, sports, weather, commentary, and other information, content from periodicals, blogs, and websites, and other text, audio, video, and multimedia content; creating indexes of online information, sites and other resources available on global computer networks for others; providing online non-downloadable software for use in generating customized recommendations of audio, video, data, text and other multimedia content; providing online non-downloadable software for use in connection with an online music subscription service; providing search engines for obtaining data via the internet and other electronic communications networks; information relating to computer hardware or software provided on-line from a global computer network or the internet; electronic data storage services.

40.

GENERATION OF VERIFIABLE PRIVATE RANDOMNESS USING DISTRIBUTION OF QUANTUM ENTANGLEMENT

      
Application Number 18542464
Status Pending
Filing Date 2023-12-15
First Publication Date 2025-04-24
Owner Amazon Technologies, Inc. (USA)
Inventor Lamas Linares, Antia

Abstract

A system and method for providing quantum entanglement-as-a-service and simultaneously producing verifiably random sequences of numbers are described. When distributing quantum entanglement between customers Alice and Bob, Alice and Bob may exchange information pertaining to a measurement basis that they respectively used when performing measurements using respective halves of entangled particles. When customer Alice, for example, determines that both Alice and Bob have performed a given measurement in a same measurement basis, said result may be used in a quantum key distribution (QKD) code. When customer Alice determines that they have not performed the given measurement in the same measurement basis, Alice may concatenate said portion of the results into a private and verifiable sequence of random numbers. Providing distributed quantum entanglement therefore results in both a QKD code between said customers and in respective private and verifiably random sequences of numbers.

IPC Classes  ?

  • G06N 10/80 - Quantum programming, e.g. interfaces, languages or software-development kits for creating or handling programs capable of running on quantum computersPlatforms for simulating or accessing quantum computers, e.g. cloud-based quantum computing
  • G06N 10/20 - Models of quantum computing, e.g. quantum circuits or universal quantum computers
  • H04L 9/08 - Key distribution

41.

EVENT DEDUPLICATION USING MULTIPLE STAGES AND CONCURRENT PROCESSING

      
Application Number 18981057
Status Pending
Filing Date 2024-12-13
First Publication Date 2025-04-24
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Anderson, Karl Eric
  • Niebloom, Jacob A.
  • Rooker, Kelly Anne
  • Stonebraker, Martin C
  • Aydin, Nebi Mert

Abstract

An event deduplication system may efficiently perform event deduplication (identifying “new” or “unique” events that might be an anomaly) by using a first stage that has multiple first stage processes running in parallel (e.g., at different data centers) and a single second stage that has a second stage process that receives and processes events from the different first stage processes. The second stage process updates a global state (e.g., lookup table) and periodically publishes the global state to the first stage processes to update their local state. When the second stage process receives a possible new event from a first stage process, it may more accurately determine whether the event is actually a new event based on the global state.

IPC Classes  ?

  • G06F 16/215 - Improving data qualityData cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
  • G06F 16/23 - Updating

42.

PRESENCE-BASED APPLICATION INVOCATION

      
Application Number 18901771
Status Pending
Filing Date 2024-09-30
First Publication Date 2025-04-24
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Naik, Apoorv
  • Dinescu, Mihail C.
  • Kumar, Bharath Bhimanaik
  • Kaufman, Matthew Todd
  • Batta, Ganesha

Abstract

Systems and methods for presence-based application invocation are disclosed. For example, presence of a personal device and/or user associated with a personal device is detected at a primary device. When account data associated with the personal device and the primary device correspond, checks are performed to determine if automatic invocation of an application associated with the personal device should be performed. Those checks include determining whether one or more conditions are satisfied, determining current usage of the application and/or the primary device indicates desirability to automatically invoke the application, and/or whether the application has been enabled for use on the primary device.

IPC Classes  ?

  • G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
  • H04W 4/02 - Services making use of location information

43.

X-Y-YAW FLOATING MECHANISM

      
Application Number US2024051251
Publication Number 2025/085372
Status In Force
Filing Date 2024-10-14
Publication Date 2025-04-24
Owner AMAZON TECHNOLOGIES, INC. (USA)
Inventor Guan, Shijie

Abstract

Described herein is a multi-directional floating mechanism that can be attached to a robot. The mechanism compensates for misalignment when the robot is installing a component during an assembly process. The mechanism is provided between the robotic arm and an attachment of the robot that interacts with the components. The mechanism includes two plates that are fixed together but can translate and rotate by a certain amount with respect to one another to compensate for the misalignment. When a task is complete and a force is no longer being exerted on the mechanism, the top plate and bottom plate return to alignment (for example, based on a magnetic force between magnets embedded in both plates).

IPC Classes  ?

  • B25J 17/02 - Wrist joints
  • G05B 19/00 - Programme-control systems
  • H01R 43/00 - Apparatus or processes specially adapted for manufacturing, assembling, maintaining, or repairing of line connectors or current collectors or for joining electric conductors
  • H05K 13/06 - Wiring by machine

44.

TIL MORNING'S LIGHT

      
Serial Number 99153506
Status Pending
Filing Date 2025-04-24
Owner Amazon Technologies, Inc. ()
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 41 - Education, entertainment, sporting and cultural services

Goods & Services

Downloadable game software Entertainment services, namely, providing temporary use of non-downloadable computer games; Entertainment services, namely, providing temporary use of non-downloadable interactive games

45.

NATURAL LANGUAGE PROCESSING USING CONTEXT

      
Application Number 18817461
Status Pending
Filing Date 2024-08-28
First Publication Date 2025-04-24
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Teng, Da
  • Evans, Adrian
  • Narayanan, Naresh

Abstract

This disclosure proposes systems and methods for processing natural language inputs using data associated with multiple language recognition contexts (LRC). A system using multiple LRCs can receive input data from a device, identify a first identifier associated with the device, and further identify second identifiers associated with the first identifier and representing candidate users of the device. The system can access language processing data used for natural language processing for the LRCs corresponding to each of the first and second identifiers, and process the input data using the language processing data at one or more stages of automatic speech recognition, natural language understanding, entity resolution, and/or command execution. User recognition can reduce the number of candidate users, and thus the amount of data used to process the input data. Dynamic arbitration can select from between competing hypotheses representing the first identifier and a second identifier, respectively.

IPC Classes  ?

  • G10L 15/183 - Speech classification or search using natural language modelling using context dependencies, e.g. language models
  • G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
  • G10L 17/22 - Interactive proceduresMan-machine interfaces

46.

INTERFACES TO MANAGE INTER-REGION CONNECTIVITY FOR DIRECT NETWORK PEERINGS

      
Application Number 18935065
Status Pending
Filing Date 2024-11-01
First Publication Date 2025-04-24
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Doane, Andrew J.
  • Miller, Kevin Christopher
  • Lennon, David B.

Abstract

Methods and apparatus for interfaces to manage inter-regional connectivity for direct network peerings. A system may include a connectivity coordinator, a first resource collection in a first geographical zone and a second resource collection in a second geographical zone. The coordinator implements a programmatic interface defining connectivity operations. The coordinator receives a request via the interface to establish a logically isolated network path to the second resource collection on behalf of a client that has a dedicated physical link set up to connect to the first resource collection. In response to the request, the coordinator performs one or more configuration operations to enable traffic to flow from the client's network to the second resource collection over a logically isolated network path using the dedicated physical link.

IPC Classes  ?

  • H04L 45/302 - Route determination based on requested QoS
  • H04L 45/00 - Routing or path finding of packets in data switching networks
  • H04L 45/02 - Topology update or discovery
  • H04L 45/033 - Topology update or discovery by updating distance vector protocols
  • H04L 45/42 - Centralised routing

47.

TIL MORNING'S LIGHT

      
Application Number 019176882
Status Pending
Filing Date 2025-04-23
Owner Amazon Technologies, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 28 - Games; toys; sports equipment
  • 35 - Advertising and business services
  • 41 - Education, entertainment, sporting and cultural services
  • 45 - Legal and security services; personal services for individuals.

Goods & Services

Scientific, nautical, surveying, photographic, cinematographic, optical, weighing, measuring, signalling, checking (supervision), life-saving and teaching apparatus and instruments; apparatus and instruments for conducting, switching, transforming, accumulating, regulating or controlling electricity; apparatus for recording, transmission or reproduction of sound or images; magnetic data carriers, recording discs; compact discs, DVDs and other digital recording media; mechanisms for coin-operated apparatus; cash registers, calculating machines, data processing equipment, computers; computer software; video game software for mobile devices and personal computing devices; downloadable electronic game programs; electronic game software; downloadable computer game programs; computer game software downloadable from a global computer network; computer game software; interactive video game programs; video game software; computer game programs; game software; interactive game software; interactive game programs; computer application for mobile devices; computer hardware; computer peripherals; video game cartridges; video game discs; digital media streaming devices; computer application software for mobile devices, internet browsers, set-top boxes, electronic readers, and tablet computers, namely, software for video games; computer software development tools; downloadable digital materials, namely, ring tones, wallpapers, screensavers, digital music files, and graphics, videos, films, multimedia files, live action programs, motion pictures, and animation in the field of video games and computer games, all delivered via global computer networks and wireless networks; pre-recorded digital media featuring computer games and video games, ring tones, wallpapers, screensavers, digital music files, and graphics, videos, films, multimedia files, live action programs, motion pictures, and animation in the field of video games and computer games; video game headphones, peripheral apparatus, instruments and equipment for computers, including keyboards, monitors, mice, joysticks, and mouse pads; accessories and cases for mobile phones, smartphones and tablets; protected carrying cases specially adapted for computer tablets; parts and fittings for all the aforesaid goods. Games and playthings; handheld unit for playing electronic games, other than those adopted for use with an external display screen or monitor; games featured on a portable handheld device; toys, games; game machines, namely, arcade game machines, board games, electronic games, hand held units for playing video games other than those adapted for use with an external display screen or monitor, LCD game machines; portable and handheld digital electronic devices for playing electronic games; electronic interactive board games for use with external monitor; video game consoles for use with an external display screen or monitor; video game interactive remote control units; stand-alone video output game machines; arcade-type electronic video games; board games; manipulative puzzles; playing cards and card games; games and playthings, namely, action skill games, action target games, arcade-type electronic education video games, board games; computer game apparatus; protected carrying cases specially adapted for handheld games units; video game machines; controllers for video game machines; consumer video game apparatus; consumer video game apparatus with camera function; controllers and joysticks for consumer video game apparatus; game machines and apparatus; hand-held units for playing electronic games for use with external display screen or monitor; controllers for playing electronic games; computer game peripherals, namely, controllers and input devices; parts and fittings for all the aforesaid goods. Retail store services featuring electronic games, computer games, video games, electronic game software, computer game software, and video game software; online retail store services featuring streamed and downloadable pre-recorded electronic games; advertising services, namely, dissemination of advertising for others via an on-line electronic communications network and providing an on-line commercial information directory for electronic game enthusiasts; advertising services, namely, promoting the goods and services of others; online retail and retail store services featuring scientific, nautical, surveying, photographic, cinematographic, optical, weighing, measuring, signalling, checking (supervision), life-saving and teaching apparatus and instruments, apparatus and instruments for conducting, switching, transforming, accumulating, regulating or controlling electricity, apparatus for recording, transmission or reproduction of sound or images, magnetic data carriers, recording discs, compact discs, DVDs and other digital recording media, mechanisms for coin-operated apparatus, cash registers, calculating machines, data processing equipment, computers, computer software, video game software for mobile devices and personal computing devices, downloadable electronic game programs, electronic game software, downloadable computer game programs, computer game software downloadable from a global computer network, computer game software, interactive video game programs, video game software, computer game programs, game software, interactive game software, interactive game programs, computer application for mobile devices, computer hardware, computer peripherals, video game cartridges, video game discs, handheld units for playing electronic games for use with external display screen or monitor, controllers for playing electronic games, computer game peripherals, namely, controllers and input devices, digital media streaming devices, portable and handheld digital electronic devices for playing electronic games, computer application software for mobile devices, internet browsers, set-top boxes, electronic readers, and tablet computers, namely, software for video games, computer software development tools, downloadable digital materials, namely, ring tones, wallpapers, screensavers, digital music files, and graphics, videos, films, multimedia files, live action programs, motion pictures, and animation in the field of video games and computer games, all delivered via global computer networks and wireless networks, pre-recorded digital media featuring computer games and video games, ring tones, wallpapers, screensavers, digital music files, and graphics, videos, films, multimedia files, live action programs, motion pictures, and animation in the field of video games and computer games, video game headphones, peripheral apparatus, instruments and equipment for computers, including keyboards, monitors, mice, joysticks, and mouse pads, accessories and cases for mobile phones, smartphones and tablets; online retail and retail store services featuring games and playthings, handheld unit for playing electronic games, other than those adopted for use with an external display screen or monitor, games featured on a portable handheld device, toys, games, game machines, namely, arcade game machines, board games, electronic games, hand held units for playing video games other than those adapted for use with an external display screen or monitor, LCD game machines, electronic interactive board games for use with external monitor, video game consoles for use with an external display screen or monitor, video game interactive remote control units, stand-alone video output game machines, arcade-type electronic video games, board games, manipulative puzzles, playing cards and card games, games and playthings, namely, action skill games, action target games, arcade-type electronic education video games, board games, computer game apparatus, protected carrying cases specially adapted for handheld games units and computer tablets, video game machines, controllers for video game machines, consumer video game apparatus, consumer video game apparatus with camera function, controllers and joysticks for consumer video game apparatus, game machines and apparatus. Education, providing of training, entertainment, sporting and cultural activities, entertainment, namely, providing on-line computer games; entertainment in the nature of computer games, namely, providing temporary use of non-downloadable computer games; entertainment, namely, providing non-downloadable computer games online; entertainment services, namely, providing temporary use of non-downloadable interactive games; entertainment services, namely, providing temporary use of non-downloadable electronic games; entertainment services, namely, providing a website featuring games and puzzles; entertainment services, namely, providing online video games; providing on-line computer games via a computer network; organization of sport and electronic games competitions; electronic games services provided by means of a global computer network; entertainment services, namely, providing online electronic games for use on mobile phones, tablets and other electronic mobile devices; providing enhancements within online computer and electronic games; entertainment services, namely, providing temporary use of non-downloadable single and multi-player electronic interactive games via the internet, electronic communication networks or via a global computer network; multimedia publishing of software, specifically of computer game software, electronic games and video game software; providing a website featuring computer games and video games, news, information, tips, hints, contests, computer interface themes, enhancements, audio-visual content, music, films, videos, television programs, animated series, and other multimedia materials in the field of computer games and video games; providing a website featuring information, news and commentary in the field of computer games and video games; electronic games services provided by means of the internet; publishing of video and computer game software; providing a computer game for use network-wide by network users; providing a website featuring information on-line relating to computer games and computer enhancements for games; rental of computer game programs; rental of computer game software; rental of video games; providing on-line entertainment in the nature of computer game competitions and tournaments; providing an interactive website featuring online downloadable, non-downloadable, and streaming video games and facilitating player competition and interaction; organizing computer and video game competitions; publication of electronic books, journals; publication of material on magnetic or optical data media; publication of music online; rental of videos, audio recordings and games including game cartridges for use with electronic games apparatus; distribution of radio and television entertainment; game services; hire, leasing and rental of games; providing information and commentary in the field of entertainment or education via a global computer network, namely, information in the field of games; provision of information, consultancy and advisory services relating to the aforesaid. Legal services, security services for the protection of property and individuals, online social networking services in the field of entertainment, social networking services in the field of entertainment provided via a website and communications networks, social networking services provided via the internet or other computer or communications network; on-line social networking services, namely, facilitating social introductions or interactions among individuals; providing on-line computer databases and on-line searchable databases in the field of social networking; providing a social networking website for entertainment purposes; providing searchable databases in the field of social networking; provision of information, consultancy and advisory services relating to the aforesaid.

48.

Facilitating selection of keys related to a selected key

      
Application Number 17738195
Grant Number 12282642
Status In Force
Filing Date 2022-05-06
First Publication Date 2025-04-22
Grant Date 2025-04-22
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Spivak, Maxim
  • Isselhardt, Dion M.
  • Tamura, Mark S.

Abstract

Described herein are techniques for rendering additional keys on a display of an electronic device based on one or more characteristics of a user's selection of another key. After rendering the additional keys, the user may thereafter select one of the additional keys now available and rendered on the display.

IPC Classes  ?

  • G06F 3/0488 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
  • G06F 3/048 - Interaction techniques based on graphical user interfaces [GUI]
  • G06F 3/04886 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures by partitioning the display area of the touch-screen or the surface of the digitising tablet into independently controllable areas, e.g. virtual keyboards or menus
  • G06F 3/0489 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using dedicated keyboard keys or combinations thereof

49.

Metadata checking with zero storage overhead

      
Application Number 18467570
Grant Number 12282667
Status In Force
Filing Date 2023-09-14
First Publication Date 2025-04-22
Grant Date 2025-04-22
Owner Amazon Technologies, Inc. (USA)
Inventor Stoakes, Timothy John

Abstract

A storage application may provide protection of data accesses by clients without incurring metadata storage costs. A request to store a record may be received, where subsequent accesses to the stored data are protected by an access condition that includes a key or other metadata. To store the record, a composite record including the record and the security key may be generated and a detection code may be determined for the composite record. The record may then be stored along with the detection code. A request to access the record may then be received, the access request including an access key. The record and detection code may be retrieved and a new composite record including the retrieved record and the access key may be generated. Satisfaction of the access condition may be determined according to a new detection code generated from the new composite record.

IPC Classes  ?

  • G06F 3/06 - Digital input from, or digital output to, record carriers

50.

Detecting utterance in audio

      
Application Number 17379382
Grant Number 12283272
Status In Force
Filing Date 2021-07-19
First Publication Date 2025-04-22
Grant Date 2025-04-22
Owner Amazon Technologies, Inc. (USA)
Inventor
  • D Souza, Henry Michael
  • Adam, Vladimir
  • Kulkarni, Ketan Ashok
  • Hill, Oliver Benjamin
  • Prasad, Ragini Rajendra

Abstract

Techniques for processing utterance audio are described. In an example, a computer system determines audio data representing an utterance detected by a device, and generates, based at least in part the audio data, first data representing at least one of portion of the utterance in a frequency domain. The first data specific is to a first frequency range. The computer system determines determining a second frequency range that is a subset of the first frequency range, the second frequency range meeting a frequency threshold, and generates, based at least in part on the first data, second data that represents the at least one portion in the frequency domain. The second data is specific to the second frequency range. The computer system determines, based at least in part on the second data, that additional audio data associated with the device is to be processed.

IPC Classes  ?

  • G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
  • G10L 15/08 - Speech classification or search
  • G10L 21/0208 - Noise filtering

51.

Factually consistent generative narrations

      
Application Number 18450695
Grant Number 12283291
Status In Force
Filing Date 2023-08-16
First Publication Date 2025-04-22
Grant Date 2025-04-22
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Sarfati, Noah Lirone
  • Yerushalmy, Ido
  • Chertok, Michael
  • Ideses, Ianir

Abstract

Systems, devices, and methods are provided for determining factually consistent generative narrations. A narrative may be generated by performing steps to determine one or more metadata messages for a first portion of a video stream, determine transcribed commentary for a second portion of the video stream, wherein the second portion includes the first portion, and determine a prompt based at least in part on the one or more metadata messages and the transcribed commentary. The prompt may be provided to a generative model that produces an output text. Techniques for performing a factual consistency evaluation may be used to determine a consistency score for the output text that indicates whether the output text is factually consistent with the one or more metadata messages and the transcribed commentary. A narrated highlight video may be generated using the consistent narrative.

IPC Classes  ?

52.

Automatic signal composition for media conferences

      
Application Number 17364384
Grant Number 12284048
Status In Force
Filing Date 2021-06-30
First Publication Date 2025-04-22
Grant Date 2025-04-22
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Rao, Siddhartha Shankara
  • Klingbeil, Michael
  • Krishnaswamy, Arvindh
  • Dunne, John Joseph

Abstract

Implementations for compositing two input signals to form a higher quality signal are described. A first input signal is received from a first input device and a second input signal is received from a second input device. The first input signal and the second input signal are combined into a composite input signal. It is then determined that the composite input signal has a higher quality than either the first input signal or the second input signal individually. Based on that determination, the composite input signal is selected for use by the media conferencing service as part of a media conference.

IPC Classes  ?

  • H04L 12/18 - Arrangements for providing special services to substations for broadcast or conference
  • G10L 21/0356 - Speech enhancement, e.g. noise reduction or echo cancellation by changing the amplitude for synchronising with other signals, e.g. video signals
  • H03H 21/00 - Adaptive networks
  • H04M 3/56 - Arrangements for connecting several subscribers to a common circuit, i.e. affording conference facilities

53.

Network traffic management

      
Application Number 17853531
Grant Number 12284110
Status In Force
Filing Date 2022-06-29
First Publication Date 2025-04-22
Grant Date 2025-04-22
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Barcelo Llado, Joan
  • Briffa, Eric Charles
  • Brown, Bobby
  • Yang, Kenan
  • Sadrieh, Seyed Arash
  • Azim, Tahir
  • Ridoux, Julien
  • Jones, Harvo Reyzell
  • Scholl, Thomas Bradley
  • Khayam, Ali
  • Mosher, Robert Louis
  • Palladino, Michael W.
  • Chaudhary, Rajat
  • Ashok Arjunagi, Nikhil
  • Groarke, Fiachra John

Abstract

Technologies are disclosed for performing context-aware routing of traffic based on an application of a series of filters and/or selectors to determine an optimal group of interfaces for servicing traffic relating to a prefix. A traffic management control plane processes input data corresponding to aggregated telemetry data for a network by determining candidate groups of interfaces to service a network prefix and applies tunable filters and/or selectors to the candidate groups to determine a targeted group to use for servicing traffic corresponding to the prefix. The determined targeted group is mapped to the prefix in a mapping result, which is then provided to an actuator interface to control network devices to inject the new mapping into the network to control traffic according to the mapping.

IPC Classes  ?

54.

Controlling a device that operates in a monitor mode

      
Application Number 18543820
Grant Number 12284516
Status In Force
Filing Date 2023-12-18
First Publication Date 2025-04-22
Grant Date 2025-04-22
Owner Amazon Technologies, Inc (USA)
Inventor
  • Case, Jr., Bryce Edward
  • Suter, Timothy Glenn

Abstract

Techniques are described for controlling a first device that operates in a first mode. In an example, the first device receives, while it is operating in a first mode, a secret from a second device. The first device is capable of wireless data reception and incapable of wireless data transmission in the first mode. The first device determines that the secret is valid. Based at least in part on the secret being valid, the first device performs at least one of: switching an operational mode of the first device from the first mode to a second mode, or performing, while operating in the first mode, a command indicated by the second device. The first device is capable of the wireless data transmission in the second mode.

IPC Classes  ?

55.

Customer-managed authentication for radio-based networks

      
Application Number 17526801
Grant Number 12284517
Status In Force
Filing Date 2021-11-15
First Publication Date 2025-04-22
Grant Date 2025-04-22
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Gupta, Diwakar
  • Hu, Kaixiang
  • Wojtowicz, Benjamin
  • Shevade, Upendra Bhalchandra
  • Hall, Shane Ashley

Abstract

Disclosed are various embodiments for customer-managed authentication in radio-based networks. In one embodiment, a radio-based network is managed for an organization. The radio-based network includes a radio access network and an associated core network. A request is received from the organization to configure one or more parameters affecting primary keys in the associated core network. The primary keys correspond to pre-shared keys of client devices permitted to access the radio-based network. Storage of the primary keys is customized in the associated core network based at least in part on the one or more parameters in response to the request.

IPC Classes  ?

  • H04M 1/66 - Substation equipment, e.g. for use by subscribers with means for preventing unauthorised or fraudulent calling
  • H04W 12/0433 - Key management protocols
  • H04W 12/069 - Authentication using certificates or pre-shared keys
  • H04W 12/40 - Security arrangements using identity modules
  • H04W 12/69 - Identity-dependent

56.

Distributed control plane functions for radio-based networks

      
Application Number 17681464
Grant Number 12284586
Status In Force
Filing Date 2022-02-25
First Publication Date 2025-04-22
Grant Date 2025-04-22
Owner AMAZON TECHNOLOGIES, INC. (USA)
Inventor
  • Nguyen, Binh
  • Tamvada, Haritha

Abstract

Various embodiments provide distributed control plane functions for radio-based networks. In one embodiment, control plane network traffic for a first functionality of a control plane network function in a radio-based network is routed to a first control plane component in an edge location of the radio-based network. Control plane network traffic for a second functionality of the control plane network function in the radio-based network is routed to a second control plane component in a centralized location of the radio-based network.

IPC Classes  ?

  • H04W 4/00 - Services specially adapted for wireless communication networksFacilities therefor
  • H04W 36/08 - Reselecting an access point
  • H04W 40/02 - Communication route or path selection, e.g. power-based or shortest path routing

57.

Indoor navigation and obstacle avoidance for unmanned aerial vehicles

      
Application Number 17855071
Grant Number 12280889
Status In Force
Filing Date 2022-06-30
First Publication Date 2025-04-22
Grant Date 2025-04-22
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Huang, Chong
  • Cao, Yibo
  • Chen, Cheng
  • Liu, Yang
  • Fu, Kah Kuen
  • Ma, Tianyang

Abstract

An aerial vehicle is configured to operate within indoor spaces. The aerial vehicle is programmed with positions of waypoints within three-dimensional space, and to calculate a trajectory for traveling through such waypoints in a manner that minimizes snap of the aerial vehicle. Where a distance between a pair of the waypoints is sufficiently long, the aerial vehicle inserts intervening waypoints for planning purposes, and programs the aerial vehicle to travel at a maximum speed between the intervening waypoints. Upon detecting an obstacle with a first range using one or more sensors, the aerial vehicle reduces its speed and monitors a second, shorter range using the sensors, and compensates for motion between such readings.

IPC Classes  ?

  • B64C 39/02 - Aircraft not otherwise provided for characterised by special use
  • B64D 35/08 - Transmitting power from power plants to propellers or rotorsArrangements of transmissions characterised by the transmission being driven by a plurality of power plants
  • B64D 47/00 - Equipment not otherwise provided for
  • G01C 21/20 - Instruments for performing navigational calculations
  • G05D 1/00 - Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots

58.

Automated generation of training data including airborne object trajectory data

      
Application Number 18059667
Grant Number 12282338
Status In Force
Filing Date 2022-11-29
First Publication Date 2025-04-22
Grant Date 2025-04-22
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Gupta, Harshul
  • Callari, Francesco Giuseppe

Abstract

Systems and methods to automatically generate training data including airborne object trajectory data may receive real trajectory data from within a first environment, receive imaging data associated with a second environment, and transform and/or modify the real trajectory data to synthetic trajectory data for the second environment. Then, the synthetic trajectory data may be superimposed within the imaging data of the second environment. In addition, images of an airborne object may be rendered along the synthetic trajectory data to generate training data that may be used to train machine learning models or algorithms for various computer vision applications.

IPC Classes  ?

  • G05D 1/10 - Simultaneous control of position or course in three dimensions
  • G01S 19/01 - Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
  • G05D 1/00 - Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
  • G06T 5/50 - Image enhancement or restoration using two or more images, e.g. averaging or subtraction

59.

Verifying software for isolated runtime environments using emulated security devices

      
Application Number 17020642
Grant Number 12282540
Status In Force
Filing Date 2020-09-14
First Publication Date 2025-04-22
Grant Date 2025-04-22
Owner Amazon Technologies, Inc. (USA)
Inventor Chandrashekar, Samartha

Abstract

An emulated hardware security device is configured for a compute instance. A state descriptor of the compute instance comprising software identification metadata prepared using the emulated hardware security device is provided to a resource verifier. The metadata identifies a program to be executed at the compute instance. In response to a response received from the resource verifier, a decision is made as to whether to execute the software program at the compute instance.

IPC Classes  ?

  • G06F 21/53 - Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems during program execution, e.g. stack integrity, buffer overflow or preventing unwanted data erasure by executing in a restricted environment, e.g. sandbox or secure virtual machine
  • G06F 8/65 - Updates
  • G06F 9/455 - EmulationInterpretationSoftware simulation, e.g. virtualisation or emulation of application or operating system execution engines
  • H04L 9/08 - Key distribution

60.

Pedestal scanner

      
Application Number 29869718
Grant Number D1071939
Status In Force
Filing Date 2023-01-06
First Publication Date 2025-04-22
Grant Date 2025-04-22
Owner AMAZON TECHNOLOGIES, INC. (USA)
Inventor
  • Piazza, Aaron James
  • Lostoski, Michael Ryan
  • Roston, Ethan
  • Vakati, Suresh
  • Williams, Alexander Digby
  • Zhou, Xiaoyue

61.

AMAZON HAUL

      
Application Number 019175406
Status Pending
Filing Date 2025-04-18
Owner Amazon Technologies, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 35 - Advertising and business services

Goods & Services

Downloadable mobile application software for accessing an online retail store featuring a variety of consumer goods of others. Retail store services featuring a variety of consumer goods of others.

62.

ALTERING AUDIO TO IMPROVE AUTOMATIC SPEECH RECOGNITION

      
Application Number 18938494
Status Pending
Filing Date 2024-11-06
First Publication Date 2025-04-17
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Hart, Gregory M.
  • Worley, Iii, William Spencer

Abstract

Techniques for altering audio being output by a voice-controlled device, or another device, to enable more accurate automatic speech recognition (ASR) by the voice-controlled device. For instance, a voice-controlled device may output audio within an environment using a speaker of the device. While outputting the audio, a microphone of the device may capture sound within the environment and may generate an audio signal based on the captured sound. The device may then analyze the audio signal to identify speech of a user within the signal, with the speech indicating that the user is going to provide a subsequent command to the device. Thereafter, the device may alter the output of the audio (e.g., attenuate the audio, pause the audio, switch from stereo to mono, etc.) to facilitate speech recognition of the user's subsequent command.

IPC Classes  ?

  • G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
  • G10L 15/20 - Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise or of stress induced speech
  • G10L 15/26 - Speech to text systems
  • G10L 17/00 - Speaker identification or verification techniques
  • G11B 27/00 - EditingIndexingAddressingTiming or synchronisingMonitoringMeasuring tape travel
  • H03G 3/32 - Automatic control in amplifiers having semiconductor devices the control being dependent upon ambient noise level or sound level
  • H03G 5/02 - Manually-operated control
  • H04R 3/12 - Circuits for transducers for distributing signals to two or more loudspeakers

63.

GLOBAL-SCALE CONNECTIVITY USING SCALABLE VIRTUAL TRAFFIC HUBS

      
Application Number 18986588
Status Pending
Filing Date 2024-12-18
First Publication Date 2025-04-17
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Deb, Bashuman
  • Tillotson, Paul John
  • Spendley, Thomas Nguyen
  • Hashmi, Omer
  • Qian, Baihu
  • Hassan, Mohamed Nader Farahat

Abstract

Network pathways are identified to transfer packets between a pair of regional virtual traffic hubs of a provider network. At a first hub of the pair, a first action is performed, resulting in a transmission of a packet received from a first isolated network to the second hub along a pathway selected using dynamic routing parameters. At the second hub, a second action is performed, resulting in the transmission of the packet to a destination within a second isolated network.

IPC Classes  ?

  • H04L 45/02 - Topology update or discovery
  • H04L 45/00 - Routing or path finding of packets in data switching networks
  • H04L 45/12 - Shortest path evaluation

64.

FRAMEWORKS AND INTERFACES FOR OFFLOAD DEVICE-BASED PACKET PROCESSING

      
Application Number 18999503
Status Pending
Filing Date 2024-12-23
First Publication Date 2025-04-17
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Vincent, Pradeep
  • Klein, Matthew David
  • Mckelvie, Samuel James

Abstract

A network device can include processing circuitry to provide support for packet processing functions. The packet processing circuitry can perform egress operations such as encapsulating and segmenting egress data traffic from a virtual machine. The packet processing circuitry can also perform ingress operations such as coalescing and decapsulating ingress data traffic from a network.

IPC Classes  ?

  • G06F 9/455 - EmulationInterpretationSoftware simulation, e.g. virtualisation or emulation of application or operating system execution engines
  • H04L 9/40 - Network security protocols
  • H04L 12/46 - Interconnection of networks
  • H04L 41/082 - Configuration setting characterised by the conditions triggering a change of settings the condition being updates or upgrades of network functionality
  • H04L 45/74 - Address processing for routing

65.

KINDLE COLORSOFT

      
Application Number 239270100
Status Pending
Filing Date 2025-04-16
Owner Amazon Technologies, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 35 - Advertising and business services
  • 38 - Telecommunications services
  • 39 - Transport, packaging, storage and travel services
  • 41 - Education, entertainment, sporting and cultural services
  • 42 - Scientific, technological and industrial services, research and design
  • 45 - Legal and security services; personal services for individuals.

Goods & Services

(1) Downloadable audio works, visual works, audiovisual works, and electronic publications featuring books, magazines, newspapers, periodicals, newsletters, journals, and manuals on a variety of topics; downloadable electronic publications in the nature of fiction and non-fiction books via computer and communications networks; downloadable electronic newsletters in the field of fiction and non-fiction books and entertainment; computer software for formatting and converting content, text, visual works, audio works, audiovisual works, literary works, data, files, documents, and electronic works into a format compatible with portable electronic devices and computers; computer software enabling content, text, visual works, audio works, audiovisual works, literary works, data, files, documents, and electronic works to be downloaded to and accessed on a computer or other portable consumer electronic device; component and feature of computer hardware and software in the field of text, image, and sound transmission and display; component feature of e-reader display; handheld mobile digital electronic device comprising a tablet computer, electronic book and periodical reader, digital audio and video player, camera, electronic personal organizer, personal digital assistant, electronic calendar, capable of providing access to the internet and sending, receiving, and storing messages and other data; tablet computers; portable electronic device for receiving and reading text and images and sound through wireless internet access and for displaying electronically published materials, namely, books, journals, newspapers, magazines, multimedia presentations; computer hardware and software in the field of text, image, and sound transmission and display; downloadable electronic publications on a variety of topics; stands specially designed for holding handheld computers and portable and handheld digital electronic devices; downloadable audiobooks and digital audio files; computer software for accessing, browsing, searching, and synchronizing online databases; downloadable cloud computer software for use in electronic storage of data; computer software for use in delivery of text, image, and sound transmission and display for e-readers; e-readers, namely, electronic book readers; portable electronic device for the display of electronically published materials, namely, books, journals, newspapers, magazines, and multimedia presentations; portable and handheld electronic device accessories, namely, charging stations, charging cases, charging covers, battery chargers, battery packs, cases, covers, and stands for the aforesaid; software in the field of text, image, and sound transmission and display; bags and cases specially adapted for holding or carrying portable electronic devices and accessories thereof; computer game software downloadable from a global computer network; computer styluses; capacitive styluses for touch screen devices; stylus pens; downloadable computer software in the field of movies, television shows, music, magazines, books, audiobooks, applications, games, cloud computing, and the internet; cases, covers, and stands for electronic book readers; power adapters; USB cables; battery chargers; electrical connectors, wires, cables, and adaptors; computer hardware; computer software development kit consisting of computer software development tools for the development of content and service delivery across global computer networks, wireless networks, and electronic communications networks; application development computer software programs; computer software for transmitting, sharing, receiving, downloading, displaying, and transferring content, text, visual works, audio works, audiovisual works, literary works, data, files, documents, and electronic works via portable electronic devices and computers; component feature of tablet computer display; component feature of e-reader technology; component feature of tablet computer technology; computer software; electronic display screen; electronic display panel; component and feature of e-reader technology; component and feature of tablet computer technology; component and feature of e-reader display; component and feature of tablet computer display; application software for use with tablets, e-readers, portable media players, and handheld computers; downloadable mobile application in the field of text, image, and sound transmission and display (1) Online retail store services featuring computer software provided via the internet and other computer and electronic communication networks; retail store services featuring computer software for use on handheld mobile digital electronic devices and other consumer electronics; retail store services featuring downloadable audio works, visual works, audiovisual works, computer software, and electronic publications featuring books, magazines, newspapers, periodicals, newsletters, journals, and manuals on a variety of topics provided via global computer networks, wireless networks, and electronic communications networks; retail store services; online retail store services; subscriptions to audio books and electronic publications; advertising and business management consultancy; advertising and promotional services; operating online marketplaces; promotional services, namely, promoting the goods of others; marketing services; advertising and marketing consultancy; advertising and marketing; retail store and online retail store services featuring downloadable audio works, visual works, audiovisual works, computer software, and electronic publications featuring books, magazines, newspapers, periodicals, newsletters, journals, and manuals on a variety of topics for use on a portable electronic device (2) Providing technical support services regarding the usage of communications equipment; transmission of text, images, and sound through a portable electronic device; communication services between computers, namely, electronic transmission of data and documents among users of computers; electronic transmission of news and data; providing telecommunication access to websites and electronic news services online; delivery of digital music by telecommunications; providing wireless telecommunications, namely, transmission of voice, audio, video, visual images, and data, via electronic communications networks; providing telecommunication access to web sites on the internet; telecommunications services, namely, providing online electronic bulletin boards for the transmission of messages among computer users concerning entertainment; delivery of messages by electronic transmission; electronic sending of data and documentation via the internet or other databases; electronic transmission of streamed and downloadable audio and video files for others via computer and other communications networks; providing telecommunication access to digital music web sites on the internet; providing telecommunication access to web sites on the internet featuring digital music, audio, movies, and audiovisual content; telecommunications services; streaming of video content via a global computer network; delivery of digital music by telecommunications, namely, by electronic transmission; streaming of audio content via a global computer network; electronic transmission of audio and video files via communications networks; providing users with telecommunication access time to electronic communications networks with means of identifying, locating, grouping, distributing, and managing data and links to third-party computer servers, computer processors, and computer users (3) Providing reviews for books, audiobooks, movies, television shows, music, magazines, and games; rental of books, audiobooks, movies, television shows, videos, music, magazines, and games that may be downloaded or streamed from an internet website; entertainment services; providing information in the field of electronic publishing in all forms, via a global computer information network; providing online non-downloadable books, audiobooks, movies, television shows, music, magazines, and games via a website; providing news and information in the field of entertainment relating to books, audiobooks, movies, television shows, music, magazines, and games; online blogs and online non-downloadable publications in the nature of books, graphic novels, comics, and magazines in the field of entertainment; providing information relating to books, audiobooks, movies, television shows, music, magazines, and games (4) Providing temporary use of online non-downloadable cloud computing software for use in electronic storage of data; graphic design for the compilation of web pages on the internet; providing information on computer technology and programming via a website; computer software installation and maintenance; providing an online network that enables users to access and share content, text, visual works, audio works, audiovisual works, literary works, data, files, documents, and electronic works; providing temporary use of online non-downloadable computer software that generates customized recommendations of software applications based on user preferences; software as a service (SaaS); providing temporary use of a non-downloadable software that gives users the ability to transmit, cache, receive, download, stream, broadcast, display, format, transfer, and share content, text, visual works, audio works, audiovisual works, literary works, data, files, documents, and electronic works; providing technical information relating to computer software and hardware via a website; computer hardware, software, application, and network consulting services; computer consulting; hosting of digital content on global computer networks, wireless networks, and electronic communications networks; providing search platforms to allow users to request and receive content, text, visual works, audio works, audiovisual works, literary works, data, files, documents, and electronic works; providing temporary use of non-downloadable computer software and online facilities to enable users to access and download computer software; providing non-downloadable software; providing temporary use of non-downloadable computer software for transmitting, sharing, receiving, downloading, displaying, and transferring content, text, visual works, audio works, audiovisual works, literary works, data, files, documents, and electronic works; providing a website that features information on computer technology and programming; technical support services, namely, troubleshooting in the nature of diagnosing computer hardware and software problems; computer services, namely, cloud hosting provider services (5) Social networking services in the field of entertainment provided via a website and communications networks; online social networking services; internet-based social networking services via online computer databases and online searchable databases; providing a social networking website for entertainment purposes; online social networking services in the field of entertainment

66.

KINDLE COLORSOFT

      
Application Number 019173977
Status Pending
Filing Date 2025-04-16
Owner Amazon Technologies, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 35 - Advertising and business services
  • 38 - Telecommunications services
  • 41 - Education, entertainment, sporting and cultural services
  • 42 - Scientific, technological and industrial services, research and design
  • 45 - Legal and security services; personal services for individuals.

Goods & Services

Downloadable audio works, visual works, audiovisual works, and electronic publications featuring books, magazines, newspapers, periodicals, newsletters, journals, and manuals on a variety of topics; downloadable electronic publications in the nature of fiction and non-fiction books via computer and communications networks; downloadable electronic newsletters in the field of fiction and non- fiction books and entertainment; computer software for formatting and converting content, text, visual works, audio works, audiovisual works, literary works, data, files, documents, and electronic works into a format compatible with portable electronic devices and computers; computer software enabling content, text, visual works, audio works, audiovisual works, literary works, data, files, documents, and electronic works to be downloaded to and accessed on a computer or other portable consumer electronic device; component and feature of computer hardware and software in the field of text, image, and sound transmission and display; component feature of e-reader display; handheld mobile digital electronic device comprising a tablet computer, electronic book and periodical reader, digital audio and video player, camera, electronic personal organizer, personal digital assistant, electronic calendar, capable of providing access to the internet and sending, receiving, and storing messages and other data; tablet computers; portable electronic device for receiving and reading text and images and sound through wireless internet access and for displaying electronically published materials, namely, books, journals, newspapers, magazines, multimedia presentations; computer hardware and software in the field of text, image, and sound transmission and display; downloadable electronic publications on a variety of topics; stands specially designed for holding handheld computers and portable and handheld digital electronic devices; downloadable audiobooks and digital audio files; computer software for accessing, browsing, searching, and synchronizing online databases; downloadable cloud computer software for use in electronic storage of data; computer software for use in delivery of text, image, and sound transmission and display for e-readers; e- readers, namely, electronic book readers; portable electronic device for the display of electronically published materials, namely, books, journals, newspapers, magazines, and multimedia presentations; portable and handheld electronic device accessories, namely, charging stations, charging cases, charging covers, battery chargers, battery packs, cases, covers, and stands for the aforesaid; software in the field of text, image, and sound transmission and display; bags and cases specially adapted for holding or carrying portable electronic devices and accessories thereof; computer game software downloadable from a global computer network; computer styluses; capacitive styluses for touch screen devices; stylus pens; downloadable computer software in the field of movies, television shows, music, magazines, books, audiobooks, applications, games, cloud computing, and the internet; cases, covers, and stands for electronic book readers; power adapters; USB cables; battery chargers; electrical connectors, wires, cables, and adaptors; computer hardware; computer software development kit consisting of computer software development tools for the development of content and service delivery across global computer networks, wireless networks, and electronic communications networks; application development computer software programs; computer software for transmitting, sharing, receiving, downloading, displaying, and transferring content, text, visual works, audio works, audiovisual works, literary works, data, files, documents, and electronic works via portable electronic devices and computers; component feature of tablet computer display; component feature of e-reader technology; component feature of tablet computer technology; computer software; electronic display screen; electronic display panel; component and feature of e-reader technology; component and feature of tablet computer technology; component and feature of e-reader display; component and feature of tablet computer display; application software for use with tablets, e-readers, portable media players, and handheld computers; downloadable mobile application in the field of text, image, and sound transmission and display. Online retail store services featuring computer software provided via the internet and other computer and electronic communication networks; retail store services featuring computer software for use on handheld mobile digital electronic devices and other consumer electronics; retail store services featuring downloadable audio works, visual works, audiovisual works, computer software, and electronic publications featuring books, magazines, newspapers, periodicals, newsletters, journals, and manuals on a variety of topics provided via global computer networks, wireless networks, and electronic communications networks; retail store services; online retail store services; subscriptions to audio books and electronic publications; advertising and business management consultancy; advertising and promotional services; operating online marketplaces; promotional services, namely, promoting the goods of others; marketing services; advertising and marketing consultancy; advertising and marketing; retail store and online retail store services featuring downloadable audio works, visual works, audiovisual works, computer software, and electronic publications featuring books, magazines, newspapers, periodicals, newsletters, journals, and manuals on a variety of topics for use on a portable electronic device. Providing technical support services regarding the usage of communications equipment; transmission of text, images, and sound through a portable electronic device; communication services between computers, namely, electronic transmission of data and documents among users of computers; electronic transmission of news and data; providing telecommunication access to websites and electronic news services online; delivery of digital music by telecommunications; providing wireless telecommunications, namely, transmission of voice, audio, video, visual images, and data, via electronic communications networks; providing telecommunication access to web sites on the internet; telecommunications services, namely, providing online electronic bulletin boards for the transmission of messages among computer users concerning entertainment; delivery of messages by electronic transmission; electronic sending of data and documentation via the internet or other databases; electronic transmission of streamed and downloadable audio and video files for others via computer and other communications networks; providing telecommunication access to digital music web sites on the internet; providing telecommunication access to web sites on the internet featuring digital music, audio, movies, and audiovisual content; telecommunications services; streaming of video content via a global computer network; delivery of digital music by telecommunications, namely, by electronic transmission; streaming of audio content via a global computer network; electronic transmission of audio and video files via communications networks; providing users with telecommunication access time to electronic communications networks with means of identifying, locating, grouping, distributing, and managing data and links to third-party computer servers, computer processors, and computer users. Providing reviews for books, audiobooks, movies, television shows, music, magazines, and games; rental of books, audiobooks, movies, television shows, videos, music, magazines, and games that may be downloaded or streamed from an internet website; entertainment services; providing information in the field of electronic publishing in all forms, via a global computer information network; providing online non-downloadable books, audiobooks, movies, television shows, music, magazines, and games via a website; providing news and information in the field of entertainment relating to books, audiobooks, movies, television shows, music, magazines, and games; online blogs and online non-downloadable publications in the nature of books, graphic novels, comics, and magazines in the field of entertainment; providing information relating to books, audiobooks, movies, television shows, music, magazines, and games. Providing temporary use of online non-downloadable cloud computing software for use in electronic storage of data; graphic design for the compilation of web pages on the internet; providing information on computer technology and programming via a website; computer software installation and maintenance; providing an online network that enables users to access and share content, text, visual works, audio works, audiovisual works, literary works, data, files, documents, and electronic works; providing temporary use of online non- downloadable computer software that generates customized recommendations of software applications based on user preferences; software as a service (SaaS); providing temporary use of a non-downloadable software that gives users the ability to transmit, cache, receive, download, stream, broadcast, display, format, transfer, and share content, text, visual works, audio works, audiovisual works, literary works, data, files, documents, and electronic works; providing technical information relating to computer software and hardware via a website; computer hardware, software, application, and network consulting services; computer consulting; hosting of digital content on global computer networks, wireless networks, and electronic communications networks; providing search platforms to allow users to request and receive content, text, visual works, audio works, audiovisual works, literary works, data, files, documents, and electronic works; providing temporary use of non-downloadable computer software and online facilities to enable users to access and download computer software; providing non-downloadable software; providing temporary use of non-downloadable computer software for transmitting, sharing, receiving, downloading, displaying, and transferring content, text, visual works, audio works, audiovisual works, literary works, data, files, documents, and electronic works; providing a website that features information on computer technology and programming; technical support services, namely, troubleshooting in the nature of diagnosing computer hardware and software problems; computer services, namely, cloud hosting provider services. Social networking services in the field of entertainment provided via a website and communications networks; online social networking services; internet-based social networking services via online computer databases and online searchable databases; providing a social networking website for entertainment purposes; online social networking services in the field of entertainment.

67.

Security button

      
Application Number 29851625
Grant Number D1070624
Status In Force
Filing Date 2022-08-30
First Publication Date 2025-04-15
Grant Date 2025-04-15
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Liu, Chia-Song
  • Gleason, Heather
  • Grant, Stephen James
  • Lu, Wen-Yo
  • Sao, Vinay
  • Siminoff, James

68.

Personalized insoles for supporting a foot in an aligned load bearing position

      
Application Number 17951368
Grant Number 12274329
Status In Force
Filing Date 2022-09-23
First Publication Date 2025-04-15
Grant Date 2025-04-15
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Song, Jinsup
  • Holan, Eric Steven
  • Khan, Asfand Yar
  • Mahale, Tushar
  • Lavoie, Dominique

Abstract

Disclosed are various embodiments for creating personalized insoles designed to provide physical comfort to the individual wearing shoes containing the personalized insoles. Three-dimensional (3D) foot scans are performed on the individual's feet to better understand the contours and geometry of each foot of the individual. The foot scans can be of each foot of the individual in varying positions (e.g., resting position with toes engaged with scanner top, toes-raised position with toes lifted from scanner top, metatarsal doming position, neutral calcaneal stance position, etc.). The 3D foot scans are used to generate personalized insole data that can be transmitted to a manufacturing device for manufacturing a personalized insole that is accurately designed to conform with the individual's foot and provide support in aligned load bearing positions.

IPC Classes  ?

  • A43D 1/02 - Foot-measuring devices
  • G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
  • G06T 17/00 - 3D modelling for computer graphics
  • G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts

69.

Machine learning approach for resource allocation for item handling

      
Application Number 17408765
Grant Number 12275586
Status In Force
Filing Date 2021-08-23
First Publication Date 2025-04-15
Grant Date 2025-04-15
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Wozniak, Amanda V.
  • Bruser, Ilissa Brooke
  • Jouvenot, Martin

Abstract

Techniques for allocating resources in an item handling environment are described. In an example, a computer system determines that an item is to be transferred at an item handling station to or from a stowage unit. The computer system determines data associated with transferring the item. The data indicates at least one of: an item type, a sequence of transferring items to or from the stowage unit, capability at the item handling station associated with handling the item type, an ergonomic parameter associated with the handling, a configuration of the stowage unit, an allocation of one or more resources to handle items, or a schedule of the allocation. The computer system generates, by using the data as input to an artificial intelligence model, a set of instructions indicating an allocation of a resource to the item handling station for the transferring of the item and a timing of the allocation.

IPC Classes  ?

  • B65G 1/137 - Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
  • B65G 1/04 - Storage devices mechanical
  • G06Q 10/08 - Logistics, e.g. warehousing, loading or distributionInventory or stock management
  • G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders

70.

Encrypted LIDAR systems and methods

      
Application Number 17113427
Grant Number 12276734
Status In Force
Filing Date 2020-12-07
First Publication Date 2025-04-15
Grant Date 2025-04-15
Owner Amazon Technologies, Inc. (USA)
Inventor Davis, Michael T.

Abstract

Described are systems and methods for providing an encrypted LIDAR system, which may be used in autonomous vehicles. Embodiments of the present disclosure can provide LIDAR systems and methods employing a cryptographically secure deterministic random bit generator (DRBG) to generate a secure pseudorandom key sequence. The secure pseudorandom key sequence can be encoded into light pulses emitted by the exemplary systems and methods. Subsequently, upon receipt of reflected light, the exemplary systems and methods can authenticate the received reflected light to confirm the key sequence encoded in the received reflected light. If the key sequence encoded in the received reflected light matches the key sequence encoded into the emitted light pulse, parameters associated with the emitted and reflected light can be used to determine a distance to the object that may have reflected the emitted light pulse. In the event the received reflected light does not include the encoded key sequence the received light can be “discarded” by the exemplary systems and methods.

IPC Classes  ?

  • G01S 17/933 - Lidar systems, specially adapted for specific applications for anti-collision purposes of aircraft or spacecraft
  • G01S 7/484 - Transmitters
  • G01S 7/486 - Receivers

71.

Adaptive sleep virtual machines in a cloud provider network

      
Application Number 17702467
Grant Number 12277449
Status In Force
Filing Date 2022-03-23
First Publication Date 2025-04-15
Grant Date 2025-04-15
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Pathak, Rahul
  • Willett, Dallas Lamont
  • Carter, Jeff Thomas
  • Virtuoso, Anthony A
  • Golden, Robin Alan

Abstract

Techniques for adaptive sleep virtual machine management are described. A service of a provider network receives a parameter indicating that a first virtual machine can be slept and determines to sleep the first virtual machine based at least in part on the parameter. A state of the first virtual machine is captured, and the first virtual machine is terminated. The service determines to resume the captured state of the first virtual machine based at least in part on an indication. A second virtual machine is launched using the captured state of the first virtual machine and resumes execution of the captured state of the first virtual machine. A proxy server sends traffic to the first virtual machine before the termination of the first virtual machine and to the second virtual machine after the resumption of execution of the captured state of the first virtual machine by the second virtual machine.

IPC Classes  ?

  • G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]
  • G06F 9/455 - EmulationInterpretationSoftware simulation, e.g. virtualisation or emulation of application or operating system execution engines

72.

In-flight scaling of machine learning training jobs

      
Application Number 15934091
Grant Number 12277480
Status In Force
Filing Date 2018-03-23
First Publication Date 2025-04-15
Grant Date 2025-04-15
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Liberty, Edo
  • Faulhaber, Jr., Thomas Albert
  • Karnin, Zohar
  • Anjaneyapura Range, Gowda Dayananda
  • Sadoughi, Amir
  • Sivasubramanian, Swaminathan
  • Smola, Alexander Johannes
  • Stefani, Stefano
  • Wiley, Craig

Abstract

Techniques for in-flight scaling of machine learning training jobs are described. A request to execute a machine learning (ML) training job is received within a provider network, and the ML training job is executed using a first one or more compute instances. Upon a determination that a performance characteristic of the ML training job satisfies a scaling condition, a second one or more compute instances are added to the ML training job while the first one or more compute instances continue to execute portions of the ML training job.

IPC Classes  ?

  • G06N 20/00 - Machine learning
  • G06F 9/48 - Program initiatingProgram switching, e.g. by interrupt

73.

Hyper-rectangle network for gradient exchange

      
Application Number 17301320
Grant Number 12277495
Status In Force
Filing Date 2021-03-31
First Publication Date 2025-04-15
Grant Date 2025-04-15
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Hah, Thiam Khean
  • Koh, Yongseok

Abstract

Systems and methods are disclosed to perform gradient exchange among processing nodes configured as a hyper-rectangle network of N-dimensions. Each processing node can operate as a collective parameter server node capable to perform collective compute operations. For each dimension in a sequence of dimensions, all processing nodes on a same edge can perform a scatter-reduce operation using respective collective parameter serving engines. The amount of data reduced in each dimension is an inverse of a number of processing nodes in that dimension. After the scatter-reduce operation is performed for all the dimensions, all processing nodes on the same edge can perform an all-gather operation for each dimension in a reverse sequence of dimensions.

IPC Classes  ?

74.

Data transmission protocol

      
Application Number 17710309
Grant Number 12278703
Status In Force
Filing Date 2022-03-31
First Publication Date 2025-04-15
Grant Date 2025-04-15
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Pogue, Michael
  • Svec, Juraj
  • Wang, Shao-Cheng

Abstract

Systems and methods for data transmission protocols are disclosed. For example, a receiving device is selected to send retransmission requests when data packet loss occurs, and then a unicast transmission of data packets may be sent to that selected receiving device. Other receiving devices may be configured to receive the unicast transmission as sent to the selected receiving device and to process the transmission as a multicast transmission. Alternatively, a multicast transmission may be sent to all of the receiving devices, and the selected receiving device may be configured to process the multicast transmission as a unicast transmission for the purpose of sending retransmission requests indicating packet loss. Backup packets may be generated and sent to all of the receiving devices to improve content output quality.

IPC Classes  ?

  • H04L 1/08 - Arrangements for detecting or preventing errors in the information received by repeating transmission, e.g. Verdan system
  • H04B 17/318 - Received signal strength
  • H04L 43/0829 - Packet loss
  • H04W 24/08 - Testing using real traffic

75.

Systems and methods to analyze root cause anomaly

      
Application Number 17958159
Grant Number 12278747
Status In Force
Filing Date 2022-09-30
First Publication Date 2025-04-15
Grant Date 2025-04-15
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Vippagunta, Rajendra Kumar
  • Ulla, Syed Furqhan
  • Vempati, Sunayana
  • Kosuru, Yekesa Srinivasa
  • Das, Namita
  • Ratho, Devesh
  • Srijan, Shashwat
  • Minorics, Lenon Alexander
  • Bloebaum, Patrick
  • Kernert, David

Abstract

A system obtains a graph representing a set of resources of a distributed system. At least one node of the graph represents a resource-metric pair. The system further obtains time series data that indicates anomalies from the system. Then, the system determines a root cause anomaly that caused other anomalies based at least in part on the graph and the time series data.

IPC Classes  ?

  • H04L 43/067 - Generation of reports using time frame reporting
  • H04L 41/0631 - Management of faults, events, alarms or notifications using root cause analysisManagement of faults, events, alarms or notifications using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
  • H04L 43/0817 - Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning

76.

Enhanced video streaming and reference frame synchronization

      
Application Number 18665967
Grant Number 12278991
Status In Force
Filing Date 2024-05-16
First Publication Date 2025-04-15
Grant Date 2025-04-15
Owner AMAZON TECHNOLOGIES, INC. (USA)
Inventor
  • Wang, Qi Keith
  • Ghorashi, Ramin
  • Bannister, Stephen John
  • Brailovskiy, Ilya

Abstract

Methods of video streaming are generally described. In some examples, a camera device periodically captures an image, communicates encoded frame data representing that image to a server, and decodes and stores the previously encoded frame data as a background picture. The server receives the encoded frame data, decodes it, and stores the decoded frame in a buffer for future use. Subsequently, upon initiation of a streaming session, the camera device captures another image and encodes a predicted key frame based on differences between the captured image and the background picture. The camera device sends the predicted key frame to the server, which receives it and reconstructs a facsimile of the captured image utilizing the previously decoded frame stored in the buffer. Methods of acknowledging successfully decoded frames for use in selecting background pictures is also described.

IPC Classes  ?

  • H04N 19/593 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial prediction techniques
  • H04N 19/124 - Quantisation
  • H04N 19/139 - Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
  • H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
  • H04N 19/625 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using discrete cosine transform [DCT]
  • H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards

77.

Enhanced shopping based on recognition of objects presented in video

      
Application Number 17841418
Grant Number 12279017
Status In Force
Filing Date 2022-06-15
First Publication Date 2025-04-15
Grant Date 2025-04-15
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Wang, Lingyun
  • Chen, Qipin
  • Ju, Xing
  • Zhang, Gordon Snow
  • Copeland, Jack Patrick

Abstract

Devices, systems, and methods are provided for smart shopping based on recognition of objects presented in video. A method may include identifying, by a first device, using a machine learning model using a computer vision technique, objects represented in video content; determining that an object of the objects is available for purchase using an online retail system; causing concurrent presentation of the video content and a first indication that the object is available for purchase using the online retail system; receiving, from a second device, a second indication of a user selection of the first indication, wherein the user selection is indicative of a request to present additional information associated with the object; generating, based on the request, presentation data including the additional information and an option to purchase the object using the online retail system; and causing, based on the request, presentation of the presentation data.

IPC Classes  ?

  • H04N 21/478 - Supplemental services, e.g. displaying phone caller identification or shopping application
  • G06Q 30/0601 - Electronic shopping [e-shopping]
  • G06V 20/40 - ScenesScene-specific elements in video content

78.

Direction of arrival estimation

      
Application Number 17879634
Grant Number 12276741
Status In Force
Filing Date 2022-08-02
First Publication Date 2025-04-15
Grant Date 2025-04-15
Owner Amazon Technologies, Inc. (USA)
Inventor Russell, Spencer

Abstract

A system configured to determine an estimated angle of arrival in reverberant environments. When a first device detects a calibration tone generated by a second device, the first device may generate multichannel audio representing the calibration tone and process the multichannel audio using a combination of detection filtering and subspace processing to determine a relative direction of the second device. For example, the first device may perform matched filtering to isolate a direct-path peak for the calibration tone, and then may sweep through all potential azimuth directions to identify an azimuth value corresponding to the direct-path peak. In some examples, the first device identifies a steering vector associated with a particular direction (e.g., signal subspace) that minimizes components in all other directions (e.g., noise subspace). The device may determine this steering vector independently for each frequency band and calculate the estimated angle of arrival by averaging results across frequency bands.

IPC Classes  ?

  • H04R 3/00 - Circuits for transducers
  • G01S 3/80 - Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using ultrasonic, sonic, or infrasonic waves
  • G01S 3/801 - Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using ultrasonic, sonic, or infrasonic waves Details

79.

Federated execution of data lake processes

      
Application Number 18478274
Grant Number 12277134
Status In Force
Filing Date 2023-09-29
First Publication Date 2025-04-15
Grant Date 2025-04-15
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Opincariu, Daniel
  • Subramanian, Rajasuba
  • Dutta, Arnab
  • Vijayarangam, Deepan Chakravarthy
  • Muzhangathu, Ranil Pavithran
  • Fattahi, Anas

Abstract

In a data lake, a control data object is defined. The control object defines the processes and relationships of processes associated with a data set in the data lake. The control has states that are tied to and adapt in response to state changes of the associated data set. A control can have a control type. The system automatically carries forward enabled processes from one data set version to the next data set version. The system uses the control definition to execute processes, such as compaction or data quality scans, on data sets in the data lake.

IPC Classes  ?

  • G06F 16/20 - Information retrievalDatabase structures thereforFile system structures therefor of structured data, e.g. relational data
  • G06F 16/25 - Integrating or interfacing systems involving database management systems

80.

Zero-shot transfer of domain-adapted base networks

      
Application Number 16560814
Grant Number 12277192
Status In Force
Filing Date 2019-09-04
First Publication Date 2025-04-15
Grant Date 2025-04-15
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Venkatesan, Ragav
  • Zhou, Xiong
  • Swaminathan, Gurumurthy
  • Zhdanov, Fedor

Abstract

Techniques for zero-shot and few-shot transfer of domain-adapted base networks are described. Multiple machine learning task layers are trained using a shared base feature extractor network. At least one task layer is trained with samples and corresponding labels from a first domain as well as a second domain. At least one other task layer is trained with samples and corresponding labels from only the first domain. Ultimately, the other task layer(s) are adapted to generate labels for the first domain via the base network being weighted based on all trainings.

IPC Classes  ?

81.

Systems and method for generating recommendations based on location-based, item similarities

      
Application Number 17543396
Grant Number 12277590
Status In Force
Filing Date 2021-12-06
First Publication Date 2025-04-15
Grant Date 2025-04-15
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Morello, Albert J.
  • Kulathumani, Vinod Krishnan
  • Page, Lawrence Lindstrom
  • Hendrickson, Tyler Allan

Abstract

This disclosure is directed to, in part, mobile carts and/or associated computing devices that are configured to determine their respective location, determine an item in a facility that is associated with an item location that is nearest the location of the cart, determine one or more items that have been designated as similar to the nearest item, and output recommendation data corresponding to the similar items. In some instances, items may be ranked according to similarity based on a comparison of text data associated with the items, based on a comparison of location data associated with the items in other facilities, or the like.

IPC Classes  ?

  • G06Q 30/0601 - Electronic shopping [e-shopping]
  • B62B 3/14 - Hand carts having more than one axis carrying transport wheelsSteering devices thereforEquipment therefor characterised by provisions for nesting or stacking, e.g. shopping trolleys

82.

System to determine user presence

      
Application Number 17303623
Grant Number 12277794
Status In Force
Filing Date 2021-06-03
First Publication Date 2025-04-15
Grant Date 2025-04-15
Owner AMAZON TECHNOLOGIES, INC. (USA)
Inventor
  • Wang, Baomin
  • Shahid, Umer
  • Wang, Tianyi
  • Skolianos, Georgios
  • Zhao, Rui
  • Aggarwal, Manoj
  • Medioni, Gerard Guy

Abstract

An input device determines presence of an actual user, instead of an artifact, by using multi-wavelength reflectance spectroscopy. Light sources are operated to illuminate an object with different colors of light at different times. A detector determines, at those different times, intensity data indicative of intensity light of these different colors as reflected from the object. The intensity data is processed to determine whether the object is part of a user or is an artifact. For example, if the object is deemed to be a user, biometric input may be acquired. The biometric input may then be processed to identify the user. The input device may be used at various locations, such as at an entry portal, point of sale, and so forth.

IPC Classes  ?

  • G06V 10/141 - Control of illumination
  • G06V 10/143 - Sensing or illuminating at different wavelengths
  • G06V 10/56 - Extraction of image or video features relating to colour
  • G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestriansBody parts, e.g. hands

83.

Respiration monitoring based on noisy channel state information (CSI) data

      
Application Number 17853641
Grant Number 12279190
Status In Force
Filing Date 2022-06-29
First Publication Date 2025-04-15
Grant Date 2025-04-15
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Zhang, Feng
  • Ma, Xiaofu
  • Tayal, Piyush
  • Huynh, Cong Phuoc
  • Chen, Xi
  • Basheer, Mohammed Rana
  • Joshi, Avinash

Abstract

Technologies directed to respiration monitoring based on noise channel state information (CSI) data are described. A method includes receiving CSI data representing channel properties of a wireless channel used by a first wireless device and a second wireless device located in a geographical region. The method generates a set of CSI samples by sampling the CSI data and removes one or more outlier CSI samples using a sparse outlier process, and removes a cluster of outlier samples using a cluster outlier process. The method determines Fast Fourier Transform (FFT) data for each channel subcarrier index and a signal-to-noise ratio (SNR) value for each channel subcarrier index, and identifies a first number of channel subcarrier indexes having highest SNR values to obtain a subset of FFT data, which represents a breathing spectrum. The method determines a respiratory rate of a user in the geographical region from the subset of the FFT data.

IPC Classes  ?

  • H04W 4/38 - Services specially adapted for particular environments, situations or purposes for collecting sensor information
  • H04B 7/06 - Diversity systemsMulti-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
  • H04B 17/336 - Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
  • H04W 4/021 - Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
  • H04W 52/52 - Transmission power control [TPC] using AGC [Automatic Gain Control] circuits or amplifiers
  • H04W 84/12 - WLAN [Wireless Local Area Networks]

84.

ANALYZING SENSOR DATA TO IDENTIFY EVENTS

      
Application Number 18917289
Status Pending
Filing Date 2024-10-16
First Publication Date 2025-04-10
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Stankovic, Ivan
  • Alyea, Joseph M.
  • Zhao, Jiajun
  • Muktinutalapati, Kartik
  • Ahmed, Waqas
  • Kumar, Dilip
  • Guan, Danny
  • Desai, Nishitkumar Ashokkumar
  • Zhu, Longlong

Abstract

This disclosure is directed to techniques in which a first user in an environment scans visual indicia associated with an item, such as a barcode, before handing the item to a second user. One or more computing devices may receive an indication of the scan, retrieve image data of the interaction from a camera within the environment, identify the user that received the item, and update a virtual cart associated with the second user to indicate addition of the item.

IPC Classes  ?

  • G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
  • G06F 18/21 - Design or setup of recognition systems or techniquesExtraction of features in feature spaceBlind source separation
  • G06F 18/24 - Classification techniques
  • G06K 7/14 - Methods or arrangements for sensing record carriers by electromagnetic radiation, e.g. optical sensingMethods or arrangements for sensing record carriers by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
  • G06Q 30/0601 - Electronic shopping [e-shopping]
  • G06T 7/70 - Determining position or orientation of objects or cameras
  • G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
  • G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestriansBody parts, e.g. hands

85.

VEHICLE DATA JURISDICTION MANAGEMENT

      
Application Number 18990850
Status Pending
Filing Date 2024-12-20
First Publication Date 2025-04-10
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Mesde, Roland
  • Bessonov, Alex
  • Halbach, Kyle Daniel
  • Giri, Nitin
  • Mendez Rodriguez, Edwin Ricardo
  • Narksusook, Matthew Jonathan

Abstract

A vehicle data management system and data jurisdiction system manage vehicle data between multiple jurisdictions and enables a set of jurisdiction rules involving rules of various jurisdictions to be applied consistently. The vehicle data jurisdiction system can detect changes in jurisdiction of a vehicle based on various pieces of received vehicle information and applies appropriate jurisdiction rules from a set of jurisdiction rules. Various jurisdictions may have conflicting jurisdiction rules and, in such circumstances, the data jurisdiction system resolves potential conflicts between the rules using a jurisdiction rules resolution workflow. Based on the resolution of the conflict, the data jurisdiction system can migrate data of the vehicle to one or more other jurisdictions, or otherwise implement the correct rules determined by resolving the conflict.

IPC Classes  ?

  • G06Q 50/26 - Government or public services
  • B60W 50/04 - Monitoring the functioning of the control system
  • G06F 16/23 - Updating
  • H04W 4/021 - Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
  • H04W 12/64 - Location-dependentProximity-dependent using geofenced areas

86.

Footwear

      
Application Number 29872455
Grant Number D1069380
Status In Force
Filing Date 2023-03-13
First Publication Date 2025-04-08
Grant Date 2025-04-08
Owner AMAZON TECHNOLOGIES, INC. (USA)
Inventor Haroun, Christopher Steven

87.

Battery expansion pack

      
Application Number 29871955
Grant Number D1069689
Status In Force
Filing Date 2023-03-02
First Publication Date 2025-04-08
Grant Date 2025-04-08
Owner AMAZON TECHNOLOGIES, INC. (USA)
Inventor
  • Cohn, Jonathan E.
  • Takhchi, Youssef
  • Bowers, Alexsandra M.
  • Crawford, Ryan Andrew
  • Gleason, Heather
  • Hruska, Ryan David
  • O'Connor, Michael James
  • Laffon De Mazieres, Emmanuel

88.

Foldable containers having mechanical secured door indicators

      
Application Number 17880210
Grant Number 12269644
Status In Force
Filing Date 2022-08-03
First Publication Date 2025-04-08
Grant Date 2025-04-08
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Greenbaum, Adam Joseph
  • Bozkaya, Dincer
  • Saunders, Iv, Albert William

Abstract

Systems and methods are disclosed for containers having mechanical secured door indicators. In one embodiment, an example container may include a first container wall, a second container wall, a third container wall, and a fourth container wall configured to move from an open position to a closed positon. The fourth container wall may include a first portion coupled to the second container wall, and a second portion coupled to the third container wall, where the first portion and the second portion are coplanar when the fourth container wall is in the closed position. The foldable container may include a bottom container platform having a machine-readable code, and a pivotable arm configured to cover the machine-readable code when the fourth container wall is in the closed position, and to uncover the machine-readable code when the fourth container wall is not in the closed position.

IPC Classes  ?

  • B65D 19/12 - Collapsible pallets
  • B62B 5/00 - Accessories or details specially adapted for hand carts
  • B65D 6/18 - Containers having bodies formed by interconnecting or uniting two or more rigid, or substantially rigid, components made wholly or mainly of metal, plastics, wood or substitutes therefor collapsible with hinged components

89.

Techniques for identifying semantically relevant search results

      
Application Number 18416602
Grant Number 12271411
Status In Force
Filing Date 2024-01-18
First Publication Date 2025-04-08
Grant Date 2025-04-08
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Ezgi Akcora, Damla
  • Mantrach, Amin

Abstract

Techniques are described herein for generating a semantically related search query that differs by at least one lexical token from document data provided as input. A machine-learning model may be trained using supervised and/or deep learning algorithms and a training data set including historical queries and the document data identified as being semantically related to those queries. The semantically-related search query may be associated with the document and utilized in subsequent searches to match the document to a subsequent query based on identifying a lexical match between the subsequent search query and the semantically-related search query associated with the document. These techniques enable semantically related search queries to be assigned offline but utilized to identify semantically related documents using lexical matching techniques. Identifying these types of matches create more diverse search results while maintaining a high degree of relevance between the query and the documents of the result set.

IPC Classes  ?

90.

System to manage biometric data

      
Application Number 17808355
Grant Number 12271456
Status In Force
Filing Date 2022-06-23
First Publication Date 2025-04-08
Grant Date 2025-04-08
Owner AMAZON TECHNOLOGIES, INC. (USA)
Inventor
  • Aggarwal, Manoj
  • Medioni, Gerard Guy
  • Desjardins, Chad
  • Kumar, Dilip

Abstract

Maintaining the security of biometric data is an utmost priority. Biometric data is secured using one or more techniques. With one technique, biometric input such as images of a user's palm is used to generate first primary data (PD). The original biometric input is deleted from temporary secure storage while the first PD is securely stored. The first PD may then be processed later to determine a second PD. The first PD may then be deleted, and the second PD subsequently used. With another technique, biometric input or a PD may be processed by a first model to determine first secondary data (SD) that is representative of features of a particular user within a first embedding space. Later the PD may be processed by a second model to determine a second SD in a second embedding space. The first SD is deleted, and the second SD subsequently used.

IPC Classes  ?

  • G06F 21/32 - User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
  • G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
  • G06V 40/12 - Fingerprints or palmprints
  • G06V 40/50 - Maintenance of biometric data or enrolment thereof

91.

Security protection for synchronization pulses

      
Application Number 17805671
Grant Number 12271511
Status In Force
Filing Date 2022-06-06
First Publication Date 2025-04-08
Grant Date 2025-04-08
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Nakibly, Guy
  • Raz, Moshe
  • Glaubach, Zvika

Abstract

Techniques for cooperative timing alignment using synchronization pulses are described. The techniques can include generating, at an integrated circuit device, a timing signal, controlling a local count value based on the timing signal, monitoring a synchronization signal of a system comprising the integrated circuit device, detecting a synchronization pulse in the synchronization signal, and aligning the local count value with an implied count value associated with the synchronization pulse in order to align the local count value with those of other integrated circuit devices of the system.

IPC Classes  ?

  • G06F 21/75 - Protecting specific internal or peripheral components, in which the protection of a component leads to protection of the entire computer to assure secure computing or processing of information by inhibiting the analysis of circuitry or operation, e.g. to counteract reverse engineering

92.

Reservation persistence in distributed block storage systems

      
Application Number 18414210
Grant Number 12271638
Status In Force
Filing Date 2024-01-16
First Publication Date 2025-04-08
Grant Date 2025-04-08
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Pinhas, Barak
  • Dinkar, Swapnil Vinay
  • Boyer, Andrew
  • Divinsky, Yonatan
  • Friedman, Alex

Abstract

A storage object and an associated permissions record is stored at a storage server. The permissions record indicates that some storage consumers are not permitted to perform a type of I/O operation on the storage object. In response to detecting that an event of a deletion triggering type with respect to the records, a modified version of the permissions record is stored at the server, indicating that the storage consumers remain prohibited from performing the I/O operations. In response to receiving a command to perform a particular I/O at the server after the modified version has been stored, the modified version is used to process the command.

IPC Classes  ?

  • G06F 3/06 - Digital input from, or digital output to, record carriers

93.

Schema and cell value aware named entity recognition model for executing natural language queries

      
Application Number 17537273
Grant Number 12271698
Status In Force
Filing Date 2021-11-29
First Publication Date 2025-04-08
Grant Date 2025-04-08
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Wang, Jun
  • Sengupta, Sudipta
  • Wang, Zhiguo
  • Nallapati, Ramesh M
  • Xiang, Bing

Abstract

A schema and cell value aware Named Entity Recognition (NER) model is used to perform natural language queries. Natural language queries may be received via an interface of a natural language query processing system. A fuzzy search may be performed that allows non-exact matches for column names or cell values of data sets potentially used to answer the natural language query. An NER model that adds a type embedding for an exact match of a column name or cell found in the fuzzy search that corresponds to a span of one or more words may be applied as part of generating the entity prediction for the natural language query. One or more queries to at least one of the data sets may be performed to return a result to the natural language query using the entity prediction generated by the NER machine learning model.

IPC Classes  ?

  • G06F 40/295 - Named entity recognition
  • G06F 16/2452 - Query translation
  • G06F 16/2458 - Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
  • G06F 40/284 - Lexical analysis, e.g. tokenisation or collocates

94.

Configuration of a deep vector engine using an opcode table, control table, and datapath table

      
Application Number 17937333
Grant Number 12271732
Status In Force
Filing Date 2022-09-30
First Publication Date 2025-04-08
Grant Date 2025-04-08
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Meyer, Paul Gilbert
  • Diamant, Ron
  • Amirineni, Sundeep

Abstract

A technique to program a compute channel having multiple computational circuit blocks coupled in series in a pipeline can include receiving a machine instruction for the compute channel. The machine instruction is decoded to obtain an opcode, and the opcode can be used as an index to access an opcode entry in an opcode table. The opcode entry contains a pointer to a microoperation, and the pointer can be used to access a microoperation represented by a control entry in a control table and a datapath configuration entry in a datapath table. The microoperation can then be issued to the compute channel by configuring the compute channel with the control entry and the datapath configuration entry.

IPC Classes  ?

  • G06F 9/22 - Microcontrol or microprogram arrangements
  • G06F 9/30 - Arrangements for executing machine instructions, e.g. instruction decode
  • G06F 9/38 - Concurrent instruction execution, e.g. pipeline or look ahead
  • G06F 15/78 - Architectures of general purpose stored program computers comprising a single central processing unit

95.

System and apparatus to present predicted items

      
Application Number 18046132
Grant Number 12271938
Status In Force
Filing Date 2022-10-12
First Publication Date 2025-04-08
Grant Date 2025-04-08
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Dogan, Ozgur
  • Puerini, Gianna Lise
  • Mountz, Michael Cordell
  • Kessel, Steve

Abstract

This disclosure describes a system for fulfilling items at a materials handling facility. In some instances, a predicted items list that identifies items that are likely to be picked by a user are determined and, when the user arrives at the materials handling facility, those predicted items are presented to the user for selection. For example, predicted items may be determined and an inventory holder that holds one or more of those predicted items may be retrieved by a mobile drive unit (such as a Kiva mobile drive unit) and presented to the user at a retrieval area. The user may pick the items they desire from the presented inventory holder.

IPC Classes  ?

  • G06Q 30/00 - Commerce
  • G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders
  • G06Q 30/0601 - Electronic shopping [e-shopping]

96.

Enhanced graphical user interface for voice communications

      
Application Number 18105114
Grant Number 12272358
Status In Force
Filing Date 2023-02-02
First Publication Date 2025-04-08
Grant Date 2025-04-08
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Lemon, Sandra
  • Liang, Nancy Yi

Abstract

Enhanced graphical user interfaces for transcription of audio and video messages is disclosed. Audio data may be transcribed, and the transcription may include emphasized words and/or punctuation corresponding to emphasis of user speech. Additionally, the transcription may be translated into a second language. A message spoken by a user depicted in one or more images of video data may also be transcribed and provided to one or more devices.

IPC Classes  ?

  • G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
  • G06F 3/04817 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
  • G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
  • G06F 3/0488 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
  • G06F 40/109 - Font handlingTemporal or kinetic typography
  • G06F 40/40 - Processing or translation of natural language
  • G06F 40/47 - Machine-assisted translation, e.g. using translation memory
  • G06F 40/58 - Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation
  • G06V 40/20 - Movements or behaviour, e.g. gesture recognition
  • G10L 15/26 - Speech to text systems
  • G10L 25/81 - Detection of presence or absence of voice signals for discriminating voice from music
  • G10L 25/90 - Pitch determination of speech signals
  • H04N 7/18 - Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

97.

Dereverberation and noise reduction

      
Application Number 17578737
Grant Number 12272369
Status In Force
Filing Date 2022-01-19
First Publication Date 2025-04-08
Grant Date 2025-04-08
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Chhetri, Amit Singh
  • Athi, Mrudula V.
  • Govindaraju, Pradeep Kumar
  • Hu, Rong

Abstract

A system configured to improve audio processing by performing dereverberation and noise reduction during a communication session. In some examples, the system may include a deep neural network (DNN) configured to perform speech enhancement, which is located after an Acoustic Echo Cancellation (AEC) component. For example, the DNN may process isolated audio data output by the AEC component to jointly mitigate additive noise and reverberation. In other examples, the system may include a DNN configured to perform acoustic interference cancellation, which may jointly mitigate additive noise, reverberation, and residual echo, removing the need to perform residual echo suppression processing. The DNN is configured to process complex-valued spectrograms corresponding to the isolated audio data and/or estimated echo data generated by the AEC component.

IPC Classes  ?

  • G10L 21/0216 - Noise filtering characterised by the method used for estimating noise
  • G10L 21/0208 - Noise filtering
  • G10L 21/10 - Transforming into visible information
  • G10L 25/30 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the analysis technique using neural networks

98.

Performance characteristic transfer for localized content

      
Application Number 18412549
Grant Number 12272383
Status In Force
Filing Date 2024-01-14
First Publication Date 2025-04-08
Grant Date 2025-04-08
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Tripathi, Rohun
  • Saha, Angshuman
  • Nair, Naveen Sudhakaran

Abstract

Systems and techniques for validation and generation of localized content for audio and video are described herein. The systems and techniques provide for training of twin neural networks to evaluate performance characteristics, sometimes referred to as content-auxiliary characteristics, of a localized performance. The localized performance may be validated or improved by identifying misalignment in the performance characteristics to ensure that localized content preserves content as well as creative intent and performance ability in the final product. The machine learning models trained using the techniques described herein may be used in connection with auto-localization processes to automatically generate high quality localized audio and video content.

IPC Classes  ?

  • G11B 27/031 - Electronic editing of digitised analogue information signals, e.g. audio or video signals
  • G06F 40/58 - Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation
  • G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G06V 20/40 - ScenesScene-specific elements in video content
  • G10L 17/02 - Preprocessing operations, e.g. segment selectionPattern representation or modelling, e.g. based on linear discriminant analysis [LDA] or principal componentsFeature selection or extraction
  • G10L 17/04 - Training, enrolment or model building
  • G10L 17/06 - Decision making techniquesPattern matching strategies
  • G10L 17/18 - Artificial neural networksConnectionist approaches
  • G10L 21/013 - Adapting to target pitch
  • G10L 25/57 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination for processing of video signals

99.

Adaptive testing service that generates test cases from observed behaviors

      
Application Number 18479712
Grant Number 12273255
Status In Force
Filing Date 2023-10-02
First Publication Date 2025-04-08
Grant Date 2025-04-08
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Bhatnagar, Abhijit Prakash
  • Ganji, Yusof
  • Azimi, Mohsen
  • Timmons, Jason Adonis
  • Carr, Jacob Shannan
  • Cecil, Tristan Niles
  • Corriere, Evan
  • Sharma, Sahil
  • Li, Xinrui
  • Fang, Huaqing

Abstract

Techniques are disclosed to implement an adaptive testing service (ATS) capable of automatically generating test cases for a network service to adapt test coverage to observed behaviors of the network service. In embodiments, the ATS uses telemetry data from a production version of the network service to identify classes of testable behaviors. Test cases are generated for the behaviors and assigned weights based on frequency or recency metrics of the behaviors. The test cases are stored in a test case repository, and may be used to monitor the production version of the network service or verify code changes to a development version of the network service. The test case weights may be used to select which test cases to run or determine whether code changes should be accepted or rejected. The test cases are evolved over time to adapt to behavior changes in the network service.

IPC Classes  ?

  • H04L 43/55 - Testing of service level quality, e.g. simulating service usage
  • H04L 43/024 - Capturing of monitoring data by sampling by adaptive sampling
  • H04L 43/106 - Active monitoring, e.g. heartbeat, ping or trace-route using time related information in packets, e.g. by adding timestamps
  • H04L 41/147 - Network analysis or design for predicting network behaviour

100.

Guided camera focusing using barcode images

      
Application Number 18127403
Grant Number 12273621
Status In Force
Filing Date 2023-03-28
First Publication Date 2025-04-08
Grant Date 2025-04-08
Owner Amazon Technologies, Inc. (USA)
Inventor
  • Can, Ali
  • Preiswerk, Frank

Abstract

Techniques for guiding camera focusing using barcode images are described herein. In an example, a computer system receives an image of a calibration target having a center that is aligned with an optical axis of a camera that generated the image. The calibration target includes steps that are located at different depths with respect to a lens of the camera. The calibration target includes barcode sets. Individual barcodes of a barcode set have a barcode attribute. The computer system decodes the barcode sets in the image and determines a set of decoded barcodes of the barcode sets. The computer system determines, for individual steps, a sharpness metric based on the barcode attribute of individual barcodes of the set of decoded barcodes and determines an adjustment of a focal plane of the lens based on the sharpness metric for the individual steps.

IPC Classes  ?

  • H04N 23/67 - Focus control based on electronic image sensor signals
  • G06K 7/14 - Methods or arrangements for sensing record carriers by electromagnetic radiation, e.g. optical sensingMethods or arrangements for sensing record carriers by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
  • G06T 7/50 - Depth or shape recovery
  • G06T 7/62 - Analysis of geometric attributes of area, perimeter, diameter or volume
  • G06V 10/74 - Image or video pattern matchingProximity measures in feature spaces
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