09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer hardware; downloadable computer software for cloud
infrastructure management and automation and accessing
cloud-based scalable computing resources and data storage;
downloadable computer software for virtualization, managing
and deploying virtual machines to a cloud computing
platform, cloud computing, running cloud computing based
applications, and monitoring cloud and application
performance; downloadable computer software for accessing
and operating cloud computing networks and applications;
downloadable communications software for connecting computer
network users and global computer networks; downloadable
computer software for data processing, data transfer, and
data backup, recovery and archiving; downloadable computer
software for creating, configuring, provisioning, managing
and scaling databases; downloadable computer software for
application and database integration; downloadable computer
software for video streaming; downloadable game and game
engine software; downloadable computer software to manage,
connect, and operate internet of things (IOT) electronic
devices; downloadable computer software for enabling
electronic devices to operate and communicate locally while
retaining the benefits of analytics and high-level services
in the cloud; downloadable computer software development
tools; downloadable software development kits (SDK);
downloadable computer software for application development,
testing, deployment and management; downloadable computer
software featuring artificial intelligence (AI) and large
language models (LLMs) for integrated development software,
use in an integrated development environment (IDE), for
automating test-driven development (TDD), code reviews, and
documentation generation, and for software development
productivity tools; downloadable chatbot software for
simulating conversations; downloadable computer software
featuring artificial intelligence (AI) for software
development, computer programming, use as an application
programming interface (API), building, training and
deploying machine learning (ML) models, building and scaling
generative AI applications, industrial machine monitoring
and report-generation, machine learning, robotic functions,
computer vision, natural language processing, facial, image
and speech recognition, processing, and analysis, home
automation, workflow automation, cybersecurity, fraud
detection, generating personalized recommendations, enabling
virtual assistants and chatbots, use as a search engine,
database management, language translation, medical
diagnosis, scientific research, managing and verifying
financial transactions, creating and analyzing financial
models, document processing and text editing, transportation
and logistics solutions, gaming, music and sound production,
analytics, data analysis, advertising, digital content
creation, automating business processes and decision-making,
supply chain management, research in the field of
pharmaceuticals and life sciences, healthcare and medication
services, scheduling and appointments, point-of-care
services, business administration, and planning, allocating,
and deploying energy and utilities; downloadable or recorded
computer software for the transmission of data, information,
voice, graphics, sound, and video; downloadable computer
software for operating, installing, testing, diagnosing, and
managing telecommunications equipment and accessing
telecommunications networks; broadband wireless equipment,
namely, telecommunications base stations for wireless
networking and communications applications; downloadable
computer software for use in data management using
blockchain technology; downloadable or recorded operating
system software for robots; downloadable or recorded
software for connecting, operating, integrating,
controlling, and managing robots and autonomous vehicles;
downloadable or recorded computer software for edge
computing and local storage and execution of software and
data enabling local operability when disconnected from the
cloud; cameras; camera systems for deep learning, machine
learning, artificial intelligence, neural networks, and
machine vision; semiconductors; integrated circuits;
computer chips; computer central processing units; circuit
boards; electronic circuit cards; integrated circuit
modules. Cloud hosting provider services; hosting of digital content
on the Internet; cloud hosting of electronic databases and
virtual computing environments; server hosting; hosting
computer software applications and databases of others;
computer services, namely, hosting, managing, provisioning,
scaling, administering, maintaining, monitoring, securing,
encrypting, decrypting, replicating and backing up cloud
computing environments for others; hosting, managing,
developing, analyzing, and maintaining applications,
software, and websites in the fields of ecommerce, online
payments, order queuing, website design, data storage and
shared computing capacity scaling services; computer time
sharing services; providing virtual computer systems,
virtual computer environments through cloud computing,
virtual data storage and caching to others, and providing
electronic data storage in virtual environments, electronic
storage of files, providing web servers and co-location
servers to third party cloud computing and data storage
facilities; scaling services, namely, providing variable
computing and electronic data storage capacity to others;
administering and maintaining virtual computing environments
for others; computer software rental; planning, design and
implementation of computer technologies for others; database
design and development; software design, development,
research, maintenance, and updating; software engineering
services; software configuration management services; data
and application migration services; data mining services;
data backup and data restoration services; remote online
backup of computer data; data encryption and decryption
services; data warehousing; electronic data storage; cross
platform conversion of digital content into other forms of
digital content; digital compression of computer data;
technical support services, namely, troubleshooting of
computer software problems; computer services, namely,
monitoring the web sites of others to improve their
scalability and performance; computer services, namely,
enforcing, restricting and controlling access privileges of
users of computing and network resources based on assigned
credentials; providing online non-downloadable
communications software for connecting computer network
users and global computer networks; providing online
non-downloadable software for monitoring, tracking, logging,
analyzing, auditing and reporting in the field of regulatory
and information security compliance, and for monitoring,
tracking, logging and analyzing computer network events,
user activity, changes to resource activity and security
statistics, computer network management and automation,
monitoring computer network access and activity, network
access monitoring, network threat detection, network
security, cryptography, and user cryptography computing
environment; providing temporary use of online
non-downloadable cloud computing software for use in the
field of IT governance and risk management; providing
authentication services via online non downloadable software
for establishing and transmitting security credentials for
domain name services; computer services, namely,
unauthorized user and unauthorized software intrusion
detection and protection; monitoring of computer systems and
databases for security purposes in the nature of protecting
data and information from unauthorized access; computerized
security services, namely, electronically monitoring,
detecting and reporting on suspicious and abnormal patterns
of computer network access or activity in the nature of
protecting data and information from unauthorized access;
computer services, namely, web traffic filtering; providing
search engines for obtaining data via communications
networks; creating indexes of computer network based
information, sites, and other resources available on global
computer networks for others; hosting an online community
website featuring shared communications between community
members interested in technology, cloud computing, web
services, software, artificial intelligence, software
development, game development, databases, data processing
and analytics, data storage, data warehousing, data
archiving, data and information security, networking, mobile
computing, and the Internet of Things (IoT); computer
services, namely, creating an on-line community for
registered users to participate in discussions, get feedback
from their peers, form virtual communities, and engage in
social networking services in the field of technology,
artificial intelligence, machine learning, and cloud
computing; research and development in the fields of
robotics software and applications, artificial intelligence,
artificial intelligence technology, machine learning and
deep learning; consulting and providing information in the
fields of information technology, cloud computing, web
services, software, artificial intelligence, artificial
intelligence technology, machine learning, deep learning,
software development, game development, database design and
development and analytics, data storage, data centers, data
warehousing, data archiving, data and information security,
computer networking, mobile computing, and the Internet of
Things (IoT); technical consulting in the field of
artificial intelligence (AI) software customization;
technology services, namely, technological consulting,
information technology consulting, computer technology
consulting and computer software consulting all in the
fields of deep learning, machine learning, artificial
intelligence, neural networks and machine vision; providing
online non-downloadable software development tools;
providing online non-downloadable software for managing data
containers and data clusters; providing online
non-downloadable software for managing, connecting, and
operating internet of things (IOT) electronic devices and
enabling electronic devices to operate and communicate
locally while retaining the benefits of analytics and high
level services in the cloud, application development,
testing, deployment and management; providing on-line
non-downloadable software featuring artificial intelligence
(AI) and large language models (LLMs) for integrated
development software, use in an integrated development
environment (IDE), for automating test-driven development
(TDD), code reviews, and documentation generation, and for
software development productivity tools; computer project
management services; providing online non-downloadable
software for project management, collaboration, and
scheduling; providing online non-downloadable computer
software for the transmission of data, information, voice,
graphics, sound, and video; providing online
non-downloadable computer software for operating,
installing, testing, diagnosing, and managing
telecommunications equipment and accessing
telecommunications networks; providing online
non-downloadable software development tools for creating
blockchain-based applications; customizing, maintaining, and
updating computer software used by others to develop
blockchain-based software applications; hosting of
blockchain databases; authentication of data using
blockchain technology; providing online non-downloadable
software for recognizing, identifying, searching,
processing, analyzing, understanding, summarizing,
formatting, editing, extracting, and generating speech,
voice, audio, text, conversations, computer code, graphics,
images, and videos, facial and optical character
recognition, converting text to speech, and image analysis,
identification, processing, conversion, cropping, resizing,
and enhancement; providing online non-downloadable software
for processing, converting, transcoding, encoding, decoding,
encrypting, decrypting, distributing, and manipulating
digital video, image, and audio files; providing online
non-downloadable software for video streaming and for high
speed formatting and processing of audio and video streams,
deploying live and on demand video content, provisioning and
dynamically scaling video processing, delivery, and storage
services, inserting and removing advertising and other
content into video streams, digital rights management, and
time shifted television viewing; providing online
non-downloadable software for processing and generating
text, voice, images, videos, and computer code in response
to natural language prompts, visual prompts, text, speech,
images, and/or video, for natural language recognition,
processing, analysis, understanding, and generation, for
speech recognition, translation, transcription, and
translating speech and text from one language to another,
and for using and creating generative AI models; providing
online non-downloadable software for desktop and application
streaming, virtualization, managing, and deploying virtual
machines to a cloud computing platform, running cloud
computing based applications, monitoring cloud and
application performance, event logging, reporting, analysis,
and alert generation; providing online non-downloadable
software for data processing, data warehousing, data
protection, data security, data transfer and migration, data
backup, recovery and archiving, and collecting, editing,
formatting, modifying, organizing, structuring,
systematizing, indexing, processing, synchronizing,
integrating, monitoring, transmitting, storing, caching,
retrieving, querying, analyzing, replicating, extracting,
sharing, and controlling access to data and information;
providing online non-downloadable computer software for
accessing and operating cloud computing networks and
applications; providing online non-downloadable software for
database management, creating, configuring, provisioning and
scaling databases, improving database performance, logging
changes within a database, searching databases, creating
searchable databases of information and data, and
configuring, provisioning, and scaling data cache storage
for databases; providing online non-downloadable software
for application and database integration; providing online
non-downloadable software for operating and managing call
centers and contact centers and providing customer service
and customer support; providing online non-downloadable
software for customer relationship management (CRM);
providing online non-downloadable chatbot software for
simulating conversations; providing online non-downloadable
software for managing software development projects and
teams; providing online non-downloadable software consisting
of foundational AI models, namely, large artificial
intelligence models trained on a large quantity of data;
providing online non-downloadable software for use in
machine learning and collecting, analyzing, and organizing
data in the fields of deep learning, big data analysis, and
cloud infrastructure management and automation; providing
online non-downloadable software, namely, computer software
featuring artificial intelligence (AI) for software
development, computer programming, use as an application
programming interface (API), building, training and
deploying machine learning (ML) models, building and scaling
generative AI applications, industrial machine monitoring
and report-generation, machine learning, robotic functions,
computer vision, natural language processing, facial, image,
and speech recognition, home automation, workflow
automation, cybersecurity, fraud detection, generating
personalized recommendations, enabling virtual assistants
and chatbots, use as a search engine, database management,
language translation, medical diagnosis, scientific
research, managing and verifying financial transactions,
creating and analyzing financial models, document processing
and text editing, transportation and logistics solutions,
gaming, music and sound production, analytics, data
analysis, advertising, digital content creation, automating
business processes and decision-making, implementing
multi-agent systems, workflow management, supply chain
management, research in the field of pharmaceuticals and
life sciences, healthcare and medication services,
scheduling and appointments, point-of-care services,
business administration, and planning, allocating, and
deploying energy and utilities; providing online
non-downloadable game and game engine software; providing
online non-downloadable ecommerce software to allow users to
perform electronic business transactions via a global
computer network; providing online non-downloadable software
that automates the processing of unstructured,
semi-structured, and structured information and data stored
on computer networks and the Internet, provides real time,
integrated business management intelligence by combining
information from various databases, and provides access to
cloud based scalable computing resources and data storage;
providing online non-downloadable business analytics
software for collecting and analyzing data to facilitate
business decision-making; programming of computer software
for others; consulting services in the field of quantum
computing; research in the field of quantum computing;
providing online non-downloadable computer software for
connecting, operating, integrating, controlling, and
managing robots and autonomous vehicles; evaluating and
testing the environmental qualities and impact of products
and services; scientific research relating to the impact of
products and services; leasing of data center facilities;
evaluation of the knowledge, skills and abilities of others
in the field of technology, software, cloud computing,
artificial intelligence, and machine learning to determine
conformity with certification standards; design of
semiconductors, integrated circuits, computer chips and
central processing units for others.
Techniques for processing a natural language query using an SMT solver that includes an LLM. The LLM processes the query text to formalize constraint text into pseudo code, which is processed by an SAT solver to determine logical atoms and propositional model for solving the query. The LLM then acts as a theory solver within the SMT solver to process the logical atoms and determine a valid solution for the natural language query.
Various embodiments are provided for dynamically reconfiguring radio access network (RAN) functionality between edge and cloud computing environments. A RAN-enabled edge server deployed at an edge location is configured to perform a set of distributed unit (DU) functions for a radio-based network, while a server hosted at a regional data center of a cloud provider network is configured to perform a set of core network functions for the radio-based network. The system monitors availability of the core network functions at the edge location and determines that the set of core network functions provided by the server at the regional data center is unavailable. In response to determining that the core network functions are unavailable, the RAN-enabled edge server is dynamically reconfigured to perform the set of core network functions.
Systems and methods provide for a multi-modal development environment to receive inputs using a variety of different input modalities in different user interfaces (UIs). Multiple user interfaces may be linked within the development environment to maintain state information so that inputs provided to one UI are represented in the other UIs using an appropriate equivalent representation based on the UI modality. Users of the development environment may select a given UI for interaction based on a desired task and then see changes tracked and relayed through the different UIs to verify changes within the development environment. The UIs may also be contextually linked to permit the user to work between both UIs without losing the context due to the switch.
Techniques for processing a natural language query using an SMT solver that includes an LLM. The LLM processes the query text to formalize constraint text into pseudo code, which is processed by an SAT solver to determine logical atoms and propositional model for solving the query. The LLM then acts as a theory solver within the SMT solver to process the logical atoms and determine a valid solution for the natural language query.
Metadata may be identified for text generated by a generative machine learning model. A text is obtained and a weighting scheme determine for performing similarity analysis. Different similarity analysis techniques are performed that compare the text with representations of texts in the training data set for the generative machine learning model. Final similarity scores are generated that combine the different similarity analysis techniques according to the weighting scheme and are used to select metadata to provide that is relevant to the text.
Systems and methods for deep learning-based image and video modifications are provided. Particularly, a combination of two different neural networks may be used to perform a modification to existing image and/or video content (for example, increasing the resolution of an older video). The original image and/or video content may be provided to the first neural network, which may extract information about the image and/or frames of the video content. This information may then be provided to a second neural network, which may use the information to produce the modified image and/or video content.
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06T 3/4046 - Scaling of whole images or parts thereof, e.g. expanding or contracting using neural networks
G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
This disclosure describes, in part, systems for enabling physical retail stores and other facilities to implement automated-checkout techniques for the purchase of items that are priced per unit weight. For example, the described systems may enable a facility to implement technology where users are able to remove items from inventory locations, place the items on weight sensors, and then be charged for the prices of the items without performing manual checkout of the items. The price of an item is determined based at least in part on the identifier of the item and the price per unit weight of the item. The systems described herein thus enable customized retail facilities, as opposed to a retail facility that allows automated-checkout only for prepackaged-type or otherwise non-customizable merchandise.
G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders
G06Q 20/10 - Payment architectures specially adapted for electronic funds transfer [EFT] systemsPayment architectures specially adapted for home banking systems
A robotic device scans at least a portion of an environment. The robotic device includes one or more LiDAR sensors to scan the environment. A management system receives sensor data generated by the one or more LiDAR sensors to determine a three dimensional (3D) point cloud representing at least the portion of the environment. A layout of the environment is determined, where the layout represents a location of objects within the environment. At least one discrepancy between the 3D spatial map and the layout is determined. Based at least in part on at least one discrepancy, a map of the environment is generated.
Techniques for unsupervised anomalous access detection using sentence-based feature embeddings are described. Entity data describing users having access to a particular computing resource is obtained from a computing system and utilized, according to a sentence template, to construct descriptive sentences in a natural language format. The sentences are used to create dense vector embeddings via a sentence transformer machine learning (ML) model. The dense vector embeddings are used as input to an unsupervised anomaly detection ML model to detect anomalous users, which can be presented to an administrator.
Techniques for utilizing machine learning to generate a question and answer pair for a conversational agent are described. According to some examples, a computer-implemented method includes receiving a search indication from a user; determining a plurality of corresponding aspects for a plurality of suppliers based on a set of user reviews; generating, by one or more machine learning models, one or more contextually relevant aspects from the plurality of corresponding aspects based on the search indication for individual ones of the plurality of suppliers; generating, by the one or more machine learning models, a corresponding supplier related question for the individual ones of the plurality of suppliers based on the one or more contextually relevant aspects; selecting a supplier related question from the corresponding supplier related questions; generating, by the one or more machine learning models, a corresponding answer to the supplier related question based on one or more of the set of user reviews; and causing the supplier related question and the corresponding answer to be presented the user.
A system configured to reduce loudspeaker distortion by performing nonlinear signal processing is provided. A device may include preprocessing component(s) that apply nonlinear signal correction prior to sending a playback audio signal to a driver in order to compensate for a nonlinear response of the driver. While the driver response may be nonlinear, a combination of the preprocessing and the nonlinear driver response results in a combined response that is linear and/or compensates for the nonlinear driver response. For example, applying the nonlinear driver response to a processed audio signal may result in output audio generated by the driver accurately reproducing the playback audio signal input to the preprocessing components. To train the preprocessing components to apply the nonlinear signal correction, a deep neural network (DNN) is trained to model the driver response.
Systems and methods are provided for modifying video content to improve lighting of a person's face depicted within the video content. Pixels depicting skin may be detected in a first frame of the video content. Transformation parameters may then be determined based on intensity values of the pixels depicting skin, where the transformation parameters represent adjusted pixel intensity values determined to improve at least one of brightness or contrast of the pixels depicting skin. Based on the transformation parameters, intensity association data may be generated and stored that associates each possible input pixel intensity value in at least one channel with a corresponding adjusted pixel intensity value. The stored intensity association data as determined with respect to the first frame may then be reused to modify intensity values for a series of frames of the video content.
Systems and methods are disclosed for a shuttle track system for efficiently sorting items and packages by increasing a throughput of shuttles loaded with items. To increase item shuttle throughput, a shuttle track designated for shuttles that transport items (e.g., item track) may be positioned between on either side of a tote track designed for shuttles that transport totes (e.g., tote tracks). Tote receiving areas which may support totes for receiving the items may be positioned between each item track and the tote track. Shuttles designed to transport items (e.g., item shuttles) may deliver items to the totes in the tote receiving areas via the item tracks and shuttles designed to retrieve and/or receive totes (e.g., tote shuttles) may retrieve and/or receive totes via the tote track. Multiple sortation levels may be stacked and interconnected via ramps and/or shuttle lift systems to maximize and/or optimize item shuttle throughput.
Systems and techniques are disclosed for configuring and processing multiple types of data presentation objects in a unified data access system. An interface of the unified data access system may facilitate the configuration of both report data presentation objects having static data elements and dashboard data presentation objects having dynamic data elements. Both types of objects may be published for user access in a set of published data presentation objects. A user may activate both types of objects in a unified interface to simultaneously view and access data via processed report data presentation objects and dashboard data presentation objects.
Techniques to speed up decoding of compressed data objects may include offloading a decoding function to a decoder accelerator. The techniques may include a processor parsing the header including one or more code tables from a compressed data object, loading code data for one or more code tables into the decoder accelerator, and providing the encoded data from the compressed data object to the decoder accelerator via a decoder bus interface. The decoder accelerator decodes the encoded data into decoded data blocks. The processor then receives the decoded data blocks from the decoder accelerator via the decoder bus interface, generates pre-transformation data blocks based on the decoded data blocks by performing inverse domain transformation, and converts the pre-transformation data blocks into a decompressed data object.
A method includes receiving, by a service operating in a provider network comprising a plurality of tenants, a request from a user device of one or more user devices in a user VPC of a first tenant of the plurality of tenants, wherein the request includes service identity information and authentication information. The method also includes providing, by the service, the request to an intermediary service operating in the provider network, wherein the intermediary service associates the service identity information with information maintained by the intermediary service associated with the tenants, and authenticating, by the intermediary service and with a domain controller, the request based on the authentication information. The method further includes, after the request is successfully authenticated, generating, by a private certificate authority (PCA) in a service VPC separate from the user VPC, a certificate based on the request, and providing the certificate to the user device.
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
In various examples, systems and methods of controlling robotic sortation devices are described. In various examples, a first item associated with a first target may be determined. A first item count associated with a first buffer may be determined. A first robotic sortation device may be allocated to the first target based at least in part on the first item count. The first robotic sortation device may receive the first item. The first robotic sortation device may be controlled to place the first item in a first container associated with the first target.
B07C 3/02 - Apparatus characterised by the means used for distribution
B65B 35/16 - Feeding, e.g. conveying, single articles by grippers
B65B 57/06 - Automatic control, checking, warning or safety devices responsive to absence, presence, abnormal feed, or misplacement of binding or wrapping material, containers, or packages and operating to control, or to stop, the feed of articles or material to be packaged
Applications using complex interactions among networked services may have flows reconstructed through analysis of trace logs of the services. Logs collected independently and absent knowledge of other logs or flows may be parsed by an adaptive parser to identify service events which may be temporally organized using timestamps and performance metrics collected during previous usage of the services. Analyzing these temporally organized events may produce a list of independent candidate events that may associated with an application flow. These candidate events may then be sorted based on key identifiers in the events according to previously established application facts with identifiers of events correlated to reconstruct the application flow. The reconstructed flow may then be provided for stored, visualized, replayed or provided as input to a topology generator for further introspection.
A determination is made that a program defines a plurality of variants for populating a data structure. Respective values for the variants are selected such that the number of bit-flips required to transform one variant to another exceeds a threshold. In response to a detection, during execution of the program, that a value stored in the data structure does not match any of the selected values, a remedial action associated with detection of a bit-flip is initiated.
G06F 21/54 - 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 adding security routines or objects to programs
G06F 21/51 - Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems at application loading time, e.g. accepting, rejecting, starting or inhibiting executable software based on integrity or source reliability
G06F 21/55 - Detecting local intrusion or implementing counter-measures
A database management system receives a request to execute a long-running transaction. The database management system sub-divides the transaction into a plurality of sub-transactions. The transaction is initiated using optimistic locking. The database management system attempts to execute and validate the sub-transactions. When a sub-transaction fails, it is re-executed after a delay period. When all sub-transactions have been executed and validated, the transaction commits.
Techniques for executing a service of a first online resource via a second online resource are described herein. For example, a computer system may receive, on a user interface at a user device to a second online resource, an item identifier, authentication data, and a first request for a first service of a first online resource. The computer system can determine an attribute of an item based on the item identifier indicating that the item is available via the second online resource and unavailable via the first online resource. The computer system can determine, based on the authentication data, that the first request is authenticated for a first user account with the first online resource. The computer system can cause execution of the first service to be initiated and send user information from the first user account to cause a presentation of the user information at the user interface.
Techniques for leveraging a large language model (LLM) in software development are described. A description of a software development task is received from a user. Data associated with the software system is obtained from a data source. An LLM is prompted to identify at least one aspect of the task which requires clarification from the user, at least partly by providing the obtained data to the LLM and asking the LLM to identify a question for the user which remains unanswered by the obtained data. The question is presented to the user. An answer to the question is received from the user. The LLM is prompted to respond to propose an implementation of the task at least partly based on the data associated with the software system and the answer received from the user. The proposed implementation is received from the LLM and caused to be displayed to the user.
G06F 8/35 - Creation or generation of source code model driven
H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer hardware; downloadable computer software for cloud
infrastructure management and automation and accessing
cloud-based scalable computing resources and data storage;
downloadable computer software for virtualization, managing
and deploying virtual machines to a cloud computing
platform, cloud computing, running cloud computing based
applications, and monitoring cloud and application
performance; downloadable computer software for accessing
and operating cloud computing networks and applications;
downloadable communications software for connecting computer
network users and global computer networks; downloadable
computer software for data processing, data transfer, and
data backup, recovery and archiving; downloadable computer
software for creating, configuring, provisioning, managing
and scaling databases; downloadable computer software for
application and database integration; downloadable computer
software for video streaming; downloadable game and game
engine software; downloadable computer software to manage,
connect, and operate internet of things (IOT) electronic
devices; downloadable computer software for enabling
electronic devices to operate and communicate locally while
retaining the benefits of analytics and high-level services
in the cloud; downloadable computer software development
tools; downloadable software development kits (SDK);
downloadable computer software for application development,
testing, deployment and management; downloadable computer
software featuring artificial intelligence (AI) and large
language models (LLMs) for integrated development software,
use in an integrated development environment (IDE), for
automating test-driven development (TDD), code reviews, and
documentation generation, and for software development
productivity tools; downloadable chatbot software for
simulating conversations; downloadable computer software
featuring artificial intelligence (AI) for software
development, computer programming, use as an application
programming interface (API), building, training and
deploying machine learning (ML) models, building and scaling
generative AI applications, industrial machine monitoring
and report-generation, machine learning, robotic functions,
computer vision, natural language processing, facial, image
and speech recognition, processing, and analysis, home
automation, workflow automation, cybersecurity, fraud
detection, generating personalized recommendations, enabling
virtual assistants and chatbots, use as a search engine,
database management, language translation, medical
diagnosis, scientific research, managing and verifying
financial transactions, creating and analyzing financial
models, document processing and text editing, transportation
and logistics solutions, gaming, music and sound production,
analytics, data analysis, advertising, digital content
creation, automating business processes and decision-making,
supply chain management, research in the field of
pharmaceuticals and life sciences, healthcare and medication
services, scheduling and appointments, point-of-care
services, business administration, and planning, allocating,
and deploying energy and utilities; downloadable or recorded
computer software for the transmission of data, information,
voice, graphics, sound, and video; downloadable computer
software for operating, installing, testing, diagnosing, and
managing telecommunications equipment and accessing
telecommunications networks; broadband wireless equipment,
namely, telecommunications base stations for wireless
networking and communications applications; downloadable
computer software for use in data management using
blockchain technology; downloadable or recorded operating
system software for robots; downloadable or recorded
software for connecting, operating, integrating,
controlling, and managing robots and autonomous vehicles;
downloadable or recorded computer software for edge
computing and local storage and execution of software and
data enabling local operability when disconnected from the
cloud; cameras; camera systems for deep learning, machine
learning, artificial intelligence, neural networks, and
machine vision; semiconductors; integrated circuits;
computer chips; computer central processing units; circuit
boards; electronic circuit cards; integrated circuit
modules. Cloud hosting provider services; hosting of digital content
on the Internet; cloud hosting of electronic databases and
virtual computing environments; server hosting; hosting
computer software applications and databases of others;
computer services, namely, hosting, managing, provisioning,
scaling, administering, maintaining, monitoring, securing,
encrypting, decrypting, replicating and backing up cloud
computing environments for others; hosting, managing,
developing, analyzing, and maintaining applications,
software, and websites in the fields of ecommerce, online
payments, order queuing, website design, data storage and
shared computing capacity scaling services; computer time
sharing services; providing virtual computer systems,
virtual computer environments through cloud computing,
virtual data storage and caching to others, and providing
electronic data storage in virtual environments, electronic
storage of files, providing web servers and co-location
servers to third party cloud computing and data storage
facilities; scaling services, namely, providing variable
computing and electronic data storage capacity to others;
administering and maintaining virtual computing environments
for others; computer software rental; planning, design and
implementation of computer technologies for others; database
design and development; software design, development,
research, maintenance, and updating; software engineering
services; software configuration management services; data
and application migration services; data mining services;
data backup and data restoration services; remote online
backup of computer data; data encryption and decryption
services; data warehousing; electronic data storage; cross
platform conversion of digital content into other forms of
digital content; digital compression of computer data;
technical support services, namely, troubleshooting of
computer software problems; computer services, namely,
monitoring the web sites of others to improve their
scalability and performance; computer services, namely,
enforcing, restricting and controlling access privileges of
users of computing and network resources based on assigned
credentials; providing online non-downloadable
communications software for connecting computer network
users and global computer networks; providing online
non-downloadable software for monitoring, tracking, logging,
analyzing, auditing and reporting in the field of regulatory
and information security compliance, and for monitoring,
tracking, logging and analyzing computer network events,
user activity, changes to resource activity and security
statistics, computer network management and automation,
monitoring computer network access and activity, network
access monitoring, network threat detection, network
security, cryptography, and user cryptography computing
environment; providing temporary use of online
non-downloadable cloud computing software for use in the
field of IT governance and risk management; providing
authentication services via online non downloadable software
for establishing and transmitting security credentials for
domain name services; computer services, namely,
unauthorized user and unauthorized software intrusion
detection and protection; monitoring of computer systems and
databases for security purposes in the nature of protecting
data and information from unauthorized access; computerized
security services, namely, electronically monitoring,
detecting and reporting on suspicious and abnormal patterns
of computer network access or activity in the nature of
protecting data and information from unauthorized access;
computer services, namely, web traffic filtering; providing
search engines for obtaining data via communications
networks; creating indexes of computer network based
information, sites, and other resources available on global
computer networks for others; hosting an online community
website featuring shared communications between community
members interested in technology, cloud computing, web
services, software, artificial intelligence, software
development, game development, databases, data processing
and analytics, data storage, data warehousing, data
archiving, data and information security, networking, mobile
computing, and the Internet of Things (IoT); computer
services, namely, creating an on-line community for
registered users to participate in discussions, get feedback
from their peers, form virtual communities, and engage in
social networking services in the field of technology,
artificial intelligence, machine learning, and cloud
computing; research and development in the fields of
robotics software and applications, artificial intelligence,
artificial intelligence technology, machine learning and
deep learning; consulting and providing information in the
fields of information technology, cloud computing, web
services, software, artificial intelligence, artificial
intelligence technology, machine learning, deep learning,
software development, game development, database design and
development and analytics, data storage, data centers, data
warehousing, data archiving, data and information security,
computer networking, mobile computing, and the Internet of
Things (IoT); technical consulting in the field of
artificial intelligence (AI) software customization;
technology services, namely, technological consulting,
information technology consulting, computer technology
consulting and computer software consulting all in the
fields of deep learning, machine learning, artificial
intelligence, neural networks and machine vision; providing
online non-downloadable software development tools;
providing online non-downloadable software for managing data
containers and data clusters; providing online
non-downloadable software for managing, connecting, and
operating internet of things (IOT) electronic devices and
enabling electronic devices to operate and communicate
locally while retaining the benefits of analytics and high
level services in the cloud, application development,
testing, deployment and management; providing on-line
non-downloadable software featuring artificial intelligence
(AI) and large language models (LLMs) for integrated
development software, use in an integrated development
environment (IDE), for automating test-driven development
(TDD), code reviews, and documentation generation, and for
software development productivity tools; computer project
management services; providing online non-downloadable
software for project management, collaboration, and
scheduling; providing online non-downloadable computer
software for the transmission of data, information, voice,
graphics, sound, and video; providing online
non-downloadable computer software for operating,
installing, testing, diagnosing, and managing
telecommunications equipment and accessing
telecommunications networks; providing online
non-downloadable software development tools for creating
blockchain-based applications; customizing, maintaining, and
updating computer software used by others to develop
blockchain-based software applications; hosting of
blockchain databases; authentication of data using
blockchain technology; providing online non-downloadable
software for recognizing, identifying, searching,
processing, analyzing, understanding, summarizing,
formatting, editing, extracting, and generating speech,
voice, audio, text, conversations, computer code, graphics,
images, and videos, facial and optical character
recognition, converting text to speech, and image analysis,
identification, processing, conversion, cropping, resizing,
and enhancement; providing online non-downloadable software
for processing, converting, transcoding, encoding, decoding,
encrypting, decrypting, distributing, and manipulating
digital video, image, and audio files; providing online
non-downloadable software for video streaming and for high
speed formatting and processing of audio and video streams,
deploying live and on demand video content, provisioning and
dynamically scaling video processing, delivery, and storage
services, inserting and removing advertising and other
content into video streams, digital rights management, and
time shifted television viewing; providing online
non-downloadable software for processing and generating
text, voice, images, videos, and computer code in response
to natural language prompts, visual prompts, text, speech,
images, and/or video, for natural language recognition,
processing, analysis, understanding, and generation, for
speech recognition, translation, transcription, and
translating speech and text from one language to another,
and for using and creating generative AI models; providing
online non-downloadable software for desktop and application
streaming, virtualization, managing, and deploying virtual
machines to a cloud computing platform, running cloud
computing based applications, monitoring cloud and
application performance, event logging, reporting, analysis,
and alert generation; providing online non-downloadable
software for data processing, data warehousing, data
protection, data security, data transfer and migration, data
backup, recovery and archiving, and collecting, editing,
formatting, modifying, organizing, structuring,
systematizing, indexing, processing, synchronizing,
integrating, monitoring, transmitting, storing, caching,
retrieving, querying, analyzing, replicating, extracting,
sharing, and controlling access to data and information;
providing online non-downloadable computer software for
accessing and operating cloud computing networks and
applications; providing online non-downloadable software for
database management, creating, configuring, provisioning and
scaling databases, improving database performance, logging
changes within a database, searching databases, creating
searchable databases of information and data, and
configuring, provisioning, and scaling data cache storage
for databases; providing online non-downloadable software
for application and database integration; providing online
non-downloadable software for operating and managing call
centers and contact centers and providing customer service
and customer support; providing online non-downloadable
software for customer relationship management (CRM);
providing online non-downloadable chatbot software for
simulating conversations; providing online non-downloadable
software for managing software development projects and
teams; providing online non-downloadable software consisting
of foundational AI models, namely, large artificial
intelligence models trained on a large quantity of data;
providing online non-downloadable software for use in
machine learning and collecting, analyzing, and organizing
data in the fields of deep learning, big data analysis, and
cloud infrastructure management and automation; providing
online non-downloadable software, namely, computer software
featuring artificial intelligence (AI) for software
development, computer programming, use as an application
programming interface (API), building, training and
deploying machine learning (ML) models, building and scaling
generative AI applications, industrial machine monitoring
and report-generation, machine learning, robotic functions,
computer vision, natural language processing, facial, image,
and speech recognition, home automation, workflow
automation, cybersecurity, fraud detection, generating
personalized recommendations, enabling virtual assistants
and chatbots, use as a search engine, database management,
language translation, medical diagnosis, scientific
research, managing and verifying financial transactions,
creating and analyzing financial models, document processing
and text editing, transportation and logistics solutions,
gaming, music and sound production, analytics, data
analysis, advertising, digital content creation, automating
business processes and decision-making, implementing
multi-agent systems, workflow management, supply chain
management, research in the field of pharmaceuticals and
life sciences, healthcare and medication services,
scheduling and appointments, point-of-care services,
business administration, and planning, allocating, and
deploying energy and utilities; providing online
non-downloadable game and game engine software; providing
online non-downloadable ecommerce software to allow users to
perform electronic business transactions via a global
computer network; providing online non-downloadable software
that automates the processing of unstructured,
semi-structured, and structured information and data stored
on computer networks and the Internet, provides real time,
integrated business management intelligence by combining
information from various databases, and provides access to
cloud based scalable computing resources and data storage;
providing online non-downloadable business analytics
software for collecting and analyzing data to facilitate
business decision-making; programming of computer software
for others; consulting services in the field of quantum
computing; research in the field of quantum computing;
providing online non-downloadable computer software for
connecting, operating, integrating, controlling, and
managing robots and autonomous vehicles; evaluating and
testing the environmental qualities and impact of products
and services; scientific research relating to the impact of
products and services; leasing of data center facilities;
evaluation of the knowledge, skills and abilities of others
in the field of technology, software, cloud computing,
artificial intelligence, and machine learning to determine
conformity with certification standards; design of
semiconductors, integrated circuits, computer chips and
central processing units for others.
27.
ENRICHED ANOMALOUS COMPUTER ACTIVITY DETECTION WITH LANGUAGE MODELS
A system enriches detections of anomalous computer-related activity with output from a language model. The detection and enrichment system uses Bayesian inference to model the likelihood that a co-occurrence of a detection event and an enriched detection event indicate an actual attack. The detection and enrichment system uses a question answering model, to process text data, such as, but not limited to, transcripts or emails. A language model is trained to detect potential attacks based on labelled training data, such as, but not limited to, transcripts or emails with examples of a type of attack.
H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
Pauli surface codes form a class of two-dimensional codes from which a two-dimensional code may be selected to store quantum information for a particular application. The Pauli surface codes allow more flexibility in selecting a code configuration that bests meets the need of the particular application. For example, Pauli surface codes are not restricted to placing qubits on a square grid, as has been the case in previous surface codes. Additionally, a process for selecting a configuration to be used to implement a two-dimensional code for storing quantum information considers different Pauli codes and May utilize a machine learning algorithm to select a given Pauli code that is well suited for the particular application.
Compact freight sensor packages may comprise a processor, memory, onboard power supply, mmWave radar sensor, various additional sensors, various visual/audio devices, and various communication devices. For example, the mmWave radar sensor may detect movements or changes to objects that are placed into, moved within, or removed from trailers or containers during loading, transporting, and unloading processes. Based on the detected movements or changes, various events may be determined, identified, or corrected. Further, unloading or other downstream processes may be modified based on determined events, such as unintended, unauthorized, or potentially hazardous movement or changes to objects within trailers during transport.
Systems, methods, and computer-readable media are disclosed for containers for automated empty container flow for sortation systems. In one embodiment, a system can include a first station, a second station, a track having a first buffer path and a second buffer path, a first shuttle, a second shuttle, and a controller. The controller may be configured to determine that the first shuttle is empty, determine that the second shuttle is empty, determine a first number of shuttles at the first buffer path, determine a second number of shuttles at the second buffer path, determine, based at least in part on the first number and the second number, that the first shuttle and the second shuttle are to be routed to the first buffer path, and cause the first shuttle and the second shuttle to be routed to the first buffer path.
A torn-write self-detection feature is implemented by a storage volume, which can be a single storage device or a plurality of storage devices. In one embodiment, page protection metadata is added to each data page. The metadata can include a data page size and a unique serial number for each group of sectors this data page is spanning. The page size and unique serial number can be stored in association with the data for each sector group. The unique serial number can follow a pattern, such as an incremental pattern. Upon a read of the data page, the page size and the unique serial number are checked for each sector group. If the serial numbers are consistent with the pattern, and the page size is correct, then the data is passed to the requesting host. Otherwise, a torn-write error condition is indicated to the host.
An automatic code deployment pipeline with multiple stages for automated build, test and deployment of code updates to a production execution environment includes functionality for detecting end-user latency introduced by the code changes prior to full production deployment of the updates. In response to a request to deploy an updated application (or component thereof) to a full production environment, the pipeline executes the updated application in a less-than-full-production execution environment, and obtains end-user latency metrics during the execution of the updated application. The pipeline determines, based on analysis of the obtained end-user latency metrics for the updated application relative to latency metrics for the non-updated application running in the production execution environment, whether the update causes a latency regression for the application. For a significant latency regression, automated deployment is halted. For the case of no or insignificant latency regression, the pipeline continues the automated deployment.
Systems, devices, and methods are provided for object oriented versioning and management. Techniques described herein may relate to determining a first event associated with a first binder, wherein the first event encodes a first set of elements, determine a second event associated with a second binder, wherein the second event encodes a second set of elements, and determine a version of a data object by at least: determining a hierarchal relationship between the first binder and the second binder, determining, based at least in part on the first event, a first state, determining, based at least in part on the first state and the second event, a second state, and generating the version of the data object according to the second state. A data object may be a file, object, document, etc.
Techniques for implementing and utilizing overlay-based heatmaps for dynamic graphical user interfaces are described. A heatmap service obtains event data associated with interaction events originated from users utilizing a graphical user interface (GUI) of an application. The interaction events are correlated with identifiers of the associated GUI element for which the interaction events correspond to. This data is used to generate dynamic heatmaps, via an overlay on top of a webpage, that place heatmap visualization elements on top of the corresponding GUI elements.
A computer-implemented technique for optimizing self-attention masks is described. At compile time, a machine learning graph of an artificial intelligence model is analyzed. The machine learning graph includes a set of operators. Analysis includes identifying one or more mask operators and determining what fields of input tensors are masked. Optimizations at compile-time are used to eliminate instructions during training of the artificial intelligence model.
A method may include determining that a weighted volume of a first item in an inventory system. The weighted volume can be based on an actual volume and a weight associated with a volume category for the first item. The method may include comparing a weighted average volume based on weighted volumes for a second set of items in a container and a weighted volume of the first item with a volume threshold of the container. The method may include causing the item to be transferred to the container with respect to the comparison between the weighted average volume and the volume threshold. The method may include updating the volume threshold of the container based on a volume of a third set of items in the container after transferring the item to the container. The third set of items can include the first item and the second set of items.
A computer-implemented method is disclosed that involves receiving first data representing at least one current contextual state of a first user corresponding to a first user profile, and determining, using the first data and a graph neural network (GNN) that has been trained using graph data representing a graph, that the first user is in a first situational context corresponding to a first one of a plurality of first nodes in the graph, wherein the plurality of first nodes correspond to respective ones of a plurality of possible situational contexts, wherein the graph further includes a second node corresponding to the first user and a first edge connected to the second node, and wherein second data representing a prior contextual state of the first user is associated with the first edge. Based at least in part on the first user being in the first situational context, a first action of a plurality of possible actions to be executed with respect to the first user profile may be determined, and a device corresponding to the first user profile may be caused to take the first action.
Techniques for performing spoken language understanding (SLU) processing on a device are described. Example embodiments involve a device determining whether a spoken input corresponds to a supported spoken input class, a supported spoken input with dynamic content class or an unsupported spoken input class. For a spoken input corresponding to the supported spoken input with dynamic content class, the device may determine an entity corresponding to the spoken input from a set of entities, which may be determined based on device context data and/or user profile data. For a spoken input corresponding to the supported spoken input class, the device may determine an intent and entity using stored data. For a spoken input corresponding to the unsupported spoken input class, the device may send the audio data to a system for processing.
Tracing of data share permission enforcement may be performed through service interfaces. A parameter of a request may be an encoded token that in decoded form describes the interface and share permissions for the parameter of the request. The encoded token may be injected as the parameter of the request and submitted via an interface of a service. Trace data reports from locations that receive the encoded token are used to generate a trace for the parameter of the interface that describes movement of the encoded token and data sharing permission enforcement.
H04L 67/51 - Discovery or management thereof, e.g. service location protocol [SLP] or web services
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
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Recorded and downloadable software featuring artificial intelligence for contact center and customer support center management, operations, and customer service; recorded and downloadable software featuring artificial intelligence for multi-directional, multichannel communications among voice, in-app, and web calling, email, chat, SMS, and messaging services; recorded and downloadable software featuring artificial intelligence for managing and integrating customer relationship management (CRM) software, enterprise resource planning (ERP) software, supply chain management software, and other third-party systems and applications; recorded and downloadable application programming interface (API) software for integrating artificial intelligence agents and workflow automation with third-party applications; recorded and downloadable software featuring artificial intelligence for managing, forecasting, and tracking customer service agent performance, workflow, and communications; recorded and downloadable computer software for workflow and task management and automation; recorded and downloadable software featuring artificial intelligence for data analytics, business analytics, and business intelligence; recorded and downloadable software featuring artificial intelligence for communication analytics; recorded and downloadable software featuring artificial intelligence for transcribing, summarizing, indexing, compiling, and creating a searchable database of calls, messages, and chats; recorded and downloadable computer software for data ingestion, document parsing, content indexing, and information retrieval for use by chatbots and artificial intelligence agents; recorded and downloadable software featuring artificial intelligence for data detection, data redaction, data masking, data sensitivity classification, and information security; recorded and downloadable software featuring artificial intelligence for agent training, coaching, performance evaluation, quality assurance, remediation tracking, and reporting; recorded and downloadable computer software for business process automation and decision-making; recorded and downloadable software featuring artificial intelligence for capturing, recording, reviewing, and replaying communications and agent activity; recorded and downloadable software featuring artificial intelligence for natural language processing, conversational interfaces, dialogue management, machine learning, and deep learning; recorded and downloadable software for building, deploying, orchestrating, and managing AI agents, digital assistants, conversational query systems, expert systems, and automated workflows; recorded and downloadable computer AI agent software for simulating conversations; recorded and downloadable software featuring artificial intelligence for facilitating and automating communications with and replying to questions and messages from clients, patients, customers, and managers; recorded and downloadable software for healthcare administration, namely, patient engagement, patient communications, care coordination, appointment scheduling, medication prescriptions and refill requests, referrals, and escalation to live support rendered using artificial intelligence; recorded and downloadable computer software for use in the fields of hiring and recruiting, financial services, insurance, supply chain, healthcare administration, life sciences, pharmaceuticals, environmental services, energy and utilities, legal services, software security, physical security and safety services, marketing and advertising, and customer service, namely, research, automation, workflow orchestration, analytics, onboarding artificial intelligence agents, configuring tools and permissions, and task, case, data, and approval management; recorded and downloadable software for artificial intelligence agents, tool configuration, guardrail management, and team collaboration; recorded and downloadable software development tools for building and testing artificial intelligence agents and automated workflows; recorded and downloadable software for providing customizable computer dashboards for analyzing, processing, arranging, managing, and displaying data Operation and management of telephone call centers, contact centers, and customer support centers for others; call, message, and conference call transcription and summarization services rendered using artificial intelligence; business administration assistance services rendered using artificial intelligence and natural language interactions; business management services featuring data-driven analytics and rendered using artificial intelligence; business data analysis, compiling, and analyzing data and other sources of information for business purposes, all rendered using artificial intelligence; compilation of customer information into computer databases rendered using artificial intelligence; advertising and marketing services rendered using artificial intelligence; business consulting and analytics services relating to outbound communications campaigns Transmission of messages; electronic transmission of e-mail; telephone communications; web conferencing services; call recording services; telecommunications services, namely, providing call routing, message and chat distribution, and electronic messaging services featuring artificial intelligence Providing temporary use of non-downloadable software featuring artificial intelligence for contact center and customer support center management, operations, customer engagement, customer service, and customer support; providing temporary use of non-downloadable software featuring artificial intelligence for managing, forecasting, and tracking customer service agent performance, workflow, and communications; providing temporary use of non-downloadable software featuring software development tools for building and testing artificial intelligence agents and automated workflows; electronic data storage; application service provider (ASP) featuring software for providing customer support, customer service, and application programming interface (API) software for integrating artificial intelligence agents and workflow automation with third-party applications; providing temporary use of non-downloadable software featuring artificial intelligence for multi-directional, multichannel communications among voice, in-app, and web calling, email, chat, SMS, and messaging services; providing temporary use of non-downloadable software for providing customizable computer dashboards for analyzing, processing, arranging, managing, and displaying data; providing temporary use of non-downloadable software featuring artificial intelligence for data detection, data redaction, data masking, data sensitivity classification, and information security; providing temporary use of non-downloadable software featuring artificial intelligence for analyzing and monitoring customer interactions, providing automated evaluations and performance metrics, and providing configurable workflows for quality assurance and reporting; providing online non-downloadable software for business process automation and decision-making; providing temporary use of non-downloadable software featuring artificial intelligence for managing and integrating customer relationship management (CRM) software, enterprise resource planning (ERP) software, supply chain management software, and other third-party systems and applications; providing online non-downloadable software for workflow and task management and automation; providing temporary use of non-downloadable software featuring artificial intelligence for data analytics, business analytics, and business intelligence; providing temporary use of non-downloadable software featuring artificial intelligence for communication analytics; providing temporary use of non-downloadable software featuring artificial intelligence for transcribing, summarizing, indexing, compiling, and creating a searchable database of calls, messages, and chats; providing online non-downloadable software for data ingestion, document parsing, content indexing, and information retrieval for use by chatbots and artificial intelligence agents; providing temporary use of non-downloadable software featuring artificial intelligence for agent training, coaching, and performance improvement; intelligent natural language understanding services using cloud-based software technology; providing temporary use of non-downloadable software featuring artificial intelligence for natural language processing, conversational interfaces, dialogue management, machine learning, and deep learning; providing temporary use of non-downloadable software for building, deploying, orchestrating, and managing AI agents, digital assistants, conversational query systems, expert systems, and automated workflows; providing temporary use of non-downloadable AI agent software for simulating conversations; providing temporary use of non-downloadable software featuring artificial intelligence for facilitating and automating communications with and replying to questions and messages from clients, patients, customers, and managers; consulting services in the field of computer software analytics using artificial intelligence; providing temporary use of non-downloadable software for healthcare administration, namely, patient engagement, patient communications, care coordination, appointment scheduling, medication prescriptions and refill requests, referrals, and escalation to live support rendered using artificial intelligence; providing online non-downloadable software for use in the fields of hiring and recruiting, financial services, insurance, supply chain, healthcare administration, life sciences, pharmaceuticals, environmental services, energy and utilities, legal services, software security, physical security and safety services, marketing and advertising, and customer service, namely, research, automation, workflow orchestration, analytics, onboarding artificial intelligence agents, configuring tools and permissions, and task, case, data, and approval management; providing temporary use of non-downloadable software for artificial intelligence agents, tool configuration, guardrail management, and team collaboration; providing online non-downloadable software development tools, software configuration tools, and software for monitoring, auditing, and optimizing performance of artificial intelligence agents; user authentication services using technology for secure access to cloud-based software and data
41.
Dynamic wheel assemblies for shuttles powered by linear synchronous motors
Systems and methods are disclosed for dynamic wheel assemblies for shuttles powered by linear synchronous motors. An example shuttle may include a frame having a front lateral portion, a rear lateral portion, and a central member. The shuttle may include a first wheel assembly coupled to a first end of the front lateral portion, the first wheel assembly having a first wheel configured to engage a first sidewall of the track, where the first wheel assembly is configured to rotate in a forward and rearward direction with respect to the front lateral portion. The shuttle may include a second wheel assembly coupled to a second end of the rear lateral portion, the second wheel assembly having a second wheel configured to engage a second sidewall of the track, where the second wheel assembly is configured to rotate in a forward and rearward direction with respect to the rear lateral portion.
Systems and methods are provided for generating a listing of equivalent snapshot objects referenced by a set of object-based snapshots representing data of a corresponding block-storage volume at a point-in-time. Generating the listing comprises: retrieving a set of main manifests corresponding to the set of object-based snapshots, retrieving a set of co-pair manifests corresponding to the set of object-based snapshots, each co-pair manifest corresponding to an object-based snapshot and including a listing of encrypted snapshot objects with equivalencies to unencrypted snapshot objects, identifying data duplication in the set of main manifests based on listings of encrypted snapshot objects with equivalencies to unencrypted snapshot objects found in the set of co-pair manifests, and removing identified data duplication in the set of main manifests.
Systems and methods are provided for a prompt and content generation service to validate generated references and training data sets of large language models (LLMs). The prompt and content generation service may determine if a reference generated by an LLM is valid by searching a training dataset for tokens using a prompt, generated answer, and generated reference for content and references in the training data set. If the prompt and content generation service finds content or a valid reference with a certain confidence level, the prompt and content generation service may indicate that the generated content and reference is valid. The prompt and content generation service may additionally validate a saved checkpoint during training of an LLM by executing use case scenarios against the LLM checkpoint and determining if expected answers match generated answers.
Techniques for performing speaker error correction are described. In some examples, speaker error correction is a post-processing task aligned predicted words and predicted one or more speaker identities, wherein the post-processing at least includes: performing predicted speaker error correction on the aligned predicted words and predicted one or more speaker identities to generate a first corrected set of speaker error corrections of the one or more speaker identifiers.
G10L 17/14 - Use of phonemic categorisation or speech recognition prior to speaker recognition or verification
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
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
45.
Identifying unencrypted network flows using virtual private cloud encryption controls
Techniques for identifying unencrypted network flows using virtual private cloud encryption controls are described. An encryption control system in a cloud provider network receives a request to monitor an encryption state of network traffic associated with a virtual private cloud (VPC). Based on collected network flow data indicative of an encryption state associated with each network flow, the system identifies a network flow associated with the VPC as not being encrypted. This identified network flow, which may be present in the VPC or in underlying architecture of the cloud provider network, can be presented via a user interface.
Techniques for calibrating user devices to account for device-specific factors that can affect the user devices' abilities to detect user movement. User devices detect user movement by emitting ultrasonic signals, and characterizing changes in signal characteristics of reflections of the ultrasonic signals off the person caused by the movement of the person. Device-specific factors may negatively affect the ability of the user devices to detect user movement. To account for these factors, device-specific frequency responses for each device may be determined across bandwidths in an ultrasonic frequency range, and the device-specific calibration data may be stored on each user device. Upon being placed in user environments, the user devices emit ultrasonic sweep signals that span the different bandwidths in the ultrasonic frequency range to determine environmental factors. The user devices may use the device-specific and environmental factors to determine optimal carrier frequencies and gain values for subsequent ultrasonic signal transmissions.
A dialog management system that coordinates system dialog responses based on natural language guidelines which provide non-deterministic ways for the system to properly respond to a dialog input based on the dialog history/context. For each input, an appropriate guideline is selected by a machine learning component based on the dialog history. The guideline is then sent, along with the dialog history, to a downstream machine learning component to determine an appropriate dialog system response.
G10L 15/183 - Speech classification or search using natural language modelling using context dependencies, e.g. language models
G10L 13/08 - Text analysis or generation of parameters for speech synthesis out of text, e.g. grapheme to phoneme translation, prosody generation or stress or intonation determination
G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
49.
GENERATING SQL QUERIES FROM NATURAL LANGUAGE REQUESTS
Techniques for generating SQL queries from natural language requests are described. In some examples, a method for generating a SQL query from a natural language request includes performing entity extraction on the natural language query to extract entities and predict domains; determining required tables of the relational database to answer the natural language query; generating a SQL generation ready entity relationship graph based on the determined required tables; and generating a SQL query from at least the SQL generation ready entity relationship graph.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Recorded and downloadable software featuring artificial intelligence for building, deploying, and managing conversational applications that provide voice-guided assistance and enable voice-activated control for the automation of multi-step digital tasks and for enhancing digital accessibility; Recorded and downloadable software featuring artificial intelligence for developing and managing multimodal conversational applications which provide voice guidance, voice-activated command, and control of application features; Recorded and downloadable software for natural language processing, conversational interfaces, and dialogue management; Recorded and downloadable software for use in the creation, deployment, and utilization of artificially intelligent software applications, namely, AI agents, digital assistants, natural language processors, and expert systems; Recorded and downloadable software featuring artificial intelligence for multi-directional, multichannel communications between voice, in-app, and web calling, email, chat, SMS, and messaging services; Recorded and downloadable software for building, deploying, orchestrating, and managing artificial intelligence agents and automated workflows; Recorded and downloadable software for workflow and task management and automation; Recorded and downloadable software featuring no-code and drag-and-drop tools for creating, designing, and managing AI agentic workflows and conversational applications using a visual interface; Recorded and downloadable software featuring application programming interface (API) tools for integrating artificial intelligence agents and workflow automation with third-party applications and large language model services; Recorded and downloadable software featuring data analytics, business analytics, and customizable computer dashboards for analyzing data, managing data, and providing real-time and historical performance metrics; Recorded and downloadable business intelligence software for generating insights, trends, and metrics and displaying data on dashboards; Recorded and downloadable software development tools and software configuration tools for monitoring, auditing, and optimizing performance of artificial intelligence agents; Recorded and downloadable software for business process automation and decision support; Recorded and downloadable software featuring artificial intelligence for machine learning and deep learning for building conversational query systems and digital assistants; Recorded and downloadable software featuring artificial intelligence for transcribing, summarizing, and indexing calls, messages, and chats; Recorded and downloadable computer AI agent software for simulating conversations; Recorded and downloadable software featuring artificial intelligence for analyzing customer interactions with contact center agents, providing automated agent evaluations and performance metrics, and providing configurable workflows for quality assurance, agent coaching, remediation tracking, and reporting Providing online non-downloadable software for task automation and improving digital accessibility by using conversational artificial intelligence that combines interactive voice technology with on-screen visual elements to guide users through complex digital workflows and enable voice-driven control of applications; Providing online non-downloadable software for providing voice-guided assistance and enabling voice-activated control for the automation of multi-step digital tasks and for enhancing digital accessibility; Providing online non-downloadable software platforms for developing and managing multimodal conversational applications which provide voice guidance, voice-activated command, and control of application features; Providing online non-downloadable software and applications using artificial intelligence for generating interactive voice and visual guidance for users; Providing online non-downloadable software and applications using artificial intelligence for recognizing and executing user voice commands to control and operate digital applications; Providing online non-downloadable software for controlling, navigating, and completing tasks within digital applications through both guided voice assistance and user-driven voice commands; Providing online non-downloadable software and applications using artificial intelligence for enabling virtual assistant and customer service interactions; Providing temporary use of online non-downloadable software platforms for developing natural language computer software applications; Providing online non-downloadable software for enabling customer service, customer support services, call center assistance, and help desk services using artificial intelligence; Providing online non-downloadable voice-guided software to assist users in customer service, customer support, call center, and help desk services; Providing online non-downloadable artificial intelligence software to act as a virtual assistant with customer service and AI virtual assistant capabilities; Providing online non-downloadable software featuring no-code and drag-and-drop tools for creating, designing, and managing AI agentic workflows and conversational applications using a visual interface; Providing online non-downloadable software featuring application programming interface (API) tools for integrating artificial intelligence agents and workflow automation with third-party applications and large language model services; Application service provider (ASP) services featuring application programming interface (API) software for integrating artificial intelligence agents and workflow automation with third-party applications; Providing online non-downloadable software for building, deploying, orchestrating, and managing artificial intelligence agents and automated workflows; Providing online non-downloadable software for natural language processing, conversational interfaces, and dialogue management; Providing online non-downloadable software for business process automation and decision-making; Providing online non-downloadable software for workflow and task management and automation; Providing temporary use of non-downloadable software for providing customizable computer dashboards for analyzing data, managing data, providing real-time and historical data and performance metrics; Providing online non-downloadable software for providing customizable computer dashboards for processing, arranging, and displaying data; Providing temporary use of online non-downloadable business intelligence software for generating insights and displaying data on dashboards; Providing online non-downloadable software development tools, software configuration tools, and software for monitoring, auditing, and optimizing performance of artificial intelligence agents; Providing online non-downloadable software featuring artificial intelligence for analyzing customer interactions with contact center agents, providing automated agent evaluations and performance metrics, identifying coaching opportunities, and providing configurable workflows for quality assurance, agent coaching, remediation tracking, and reporting; Providing online non-downloadable computer AI agent software for simulating conversations; Providing online non-downloadable software featuring artificial intelligence for machine learning and deep learning for building conversational query systems and digital assistants; Providing online non-downloadable software for use in the creation, deployment, and utilization of artificially intelligent software applications, namely, AI agents, digital assistants, natural language processors, and expert systems
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Recorded and downloadable software featuring artificial intelligence for building, deploying, and managing conversational applications that provide voice-guided assistance and enable voice-activated control for the automation of multi-step digital tasks and for enhancing digital accessibility; Recorded and downloadable software featuring artificial intelligence for developing and managing multimodal conversational applications which provide voice guidance, voice-activated command, and control of application features; Recorded and downloadable software for natural language processing, conversational interfaces, and dialogue management; Recorded and downloadable software for use in the creation, deployment, and utilization of artificially intelligent software applications, namely, AI agents, digital assistants, natural language processors, and expert systems; Recorded and downloadable software featuring artificial intelligence for multi-directional, multichannel communications between voice, in-app, and web calling, email, chat, SMS, and messaging services; Recorded and downloadable software for building, deploying, orchestrating, and managing artificial intelligence agents and automated workflows; Recorded and downloadable software for workflow and task management and automation; Recorded and downloadable software featuring no-code and drag-and-drop tools for creating, designing, and managing AI agentic workflows and conversational applications using a visual interface; Recorded and downloadable software featuring application programming interface (API) tools for integrating artificial intelligence agents and workflow automation with third-party applications and large language model services; Recorded and downloadable software featuring data analytics, business analytics, and customizable computer dashboards for analyzing data, managing data, and providing real-time and historical performance metrics; Recorded and downloadable business intelligence software for generating insights, trends, and metrics and displaying data on dashboards; Recorded and downloadable software development tools and software configuration tools for monitoring, auditing, and optimizing performance of artificial intelligence agents; Recorded and downloadable software for business process automation and decision support; Recorded and downloadable software featuring artificial intelligence for machine learning and deep learning for building conversational query systems and digital assistants; Recorded and downloadable software featuring artificial intelligence for transcribing, summarizing, and indexing calls, messages, and chats; Recorded and downloadable computer AI agent software for simulating conversations; Recorded and downloadable software featuring artificial intelligence for analyzing customer interactions with contact center agents, providing automated agent evaluations and performance metrics, and providing configurable workflows for quality assurance, agent coaching, remediation tracking, and reporting Providing online non-downloadable software for task automation and improving digital accessibility by using conversational artificial intelligence that combines interactive voice technology with on-screen visual elements to guide users through complex digital workflows and enable voice-driven control of applications; Providing online non-downloadable software for providing voice-guided assistance and enabling voice-activated control for the automation of multi-step digital tasks and for enhancing digital accessibility; Providing online non-downloadable software platforms for developing and managing multimodal conversational applications which provide voice guidance, voice-activated command, and control of application features; Providing online non-downloadable software and applications using artificial intelligence for generating interactive voice and visual guidance for users; Providing online non-downloadable software and applications using artificial intelligence for recognizing and executing user voice commands to control and operate digital applications; Providing online non-downloadable software for controlling, navigating, and completing tasks within digital applications through both guided voice assistance and user-driven voice commands; Providing online non-downloadable software and applications using artificial intelligence for enabling virtual assistant and customer service interactions; Providing temporary use of online non-downloadable software platforms for developing natural language computer software applications; Providing online non-downloadable software for enabling customer service, customer support services, call center assistance, and help desk services using artificial intelligence; Providing online non-downloadable voice-guided software to assist users in customer service, customer support, call center, and help desk services; Providing online non-downloadable artificial intelligence software to act as a virtual assistant with customer service and AI virtual assistant capabilities; Providing online non-downloadable software featuring no-code and drag-and-drop tools for creating, designing, and managing AI agentic workflows and conversational applications using a visual interface; Providing online non-downloadable software featuring application programming interface (API) tools for integrating artificial intelligence agents and workflow automation with third-party applications and large language model services; Application service provider (ASP) services featuring application programming interface (API) software for integrating artificial intelligence agents and workflow automation with third-party applications; Providing online non-downloadable software for building, deploying, orchestrating, and managing artificial intelligence agents and automated workflows; Providing online non-downloadable software for natural language processing, conversational interfaces, and dialogue management; Providing online non-downloadable software for business process automation and decision-making; Providing online non-downloadable software for workflow and task management and automation; Providing temporary use of non-downloadable software for providing customizable computer dashboards for analyzing data, managing data, providing real-time and historical data and performance metrics; Providing online non-downloadable software for providing customizable computer dashboards for processing, arranging, and displaying data; Providing temporary use of online non-downloadable business intelligence software for generating insights and displaying data on dashboards; Providing online non-downloadable software development tools, software configuration tools, and software for monitoring, auditing, and optimizing performance of artificial intelligence agents; Providing online non-downloadable software featuring artificial intelligence for analyzing customer interactions with contact center agents, providing automated agent evaluations and performance metrics, identifying coaching opportunities, and providing configurable workflows for quality assurance, agent coaching, remediation tracking, and reporting; Providing online non-downloadable computer AI agent software for simulating conversations; Providing online non-downloadable software featuring artificial intelligence for machine learning and deep learning for building conversational query systems and digital assistants; Providing online non-downloadable software for use in the creation, deployment, and utilization of artificially intelligent software applications, namely, AI agents, digital assistants, natural language processors, and expert systems
Systems and methods are disclosed for automated reorientation of sortation shuttles. An example system for automated shuttle reorientation may include a track having a first portion, a second portion, and a rotatable portion that a first end and a second end, where the rotatable portion is configured to rotate from a first position to a second position, and where the first end is adjacent to the first portion of the track in the first position, and the first end is adjacent to the second portion of the track in the second position. The system may include a shuttle configured to move along the track, where the rotatable portion of the track is configured to rotate the shuttle from a first orientation to a second orientation.
B65G 47/244 - Devices influencing the relative position or the attitude of articles during transit by conveyors orientating the articles by turning them about an axis substantially perpendicular to the conveying plane
B60L 13/00 - Electric propulsion for monorail vehicles, suspension vehicles or rack railwaysMagnetic suspension or levitation for vehicles
B61J 1/04 - TurntablesIntegral stops of normal railroad type
B65G 47/22 - Devices influencing the relative position or the attitude of articles during transit by conveyors
B65G 47/24 - Devices influencing the relative position or the attitude of articles during transit by conveyors orientating the articles
B65G 47/248 - Devices influencing the relative position or the attitude of articles during transit by conveyors orientating the articles by turning over or inverting them
B65G 47/252 - Devices influencing the relative position or the attitude of articles during transit by conveyors orientating the articles by turning over or inverting them about an axis substantially perpendicular to the conveying direction
B65G 54/02 - Non-mechanical conveyors not otherwise provided for electrostatic, electric, or magnetic
Techniques for document sorting with bitmap indexes are described. A request to sort a set of documents is received. A bitmap that identifies the set of documents to be sorted is obtained. An ordered set of sort bitmaps is obtained, each sort bitmap in the ordered set of sort bitmaps corresponding to a bit in an encoding of a data type to be sorted. A series of passes of bitwise operations is performed with the ordered set of sort bitmaps, each pass to identify a next document identifier to add to a sorted set of document identifiers by processing an initial bitmap with bitwise operations in order against at least a portion of the ordered set of sort bitmaps. The initial bitmap of the first pass in the series of passes is initialized with the obtained bitmap. The sorted set of document identifiers is stored.
G06F 7/08 - Sorting, i.e. grouping record carriers in numerical or other ordered sequence according to the classification of at least some of the information they carry
Systems and methods are provided for controlling load on a server hosting block storage volumes by dynamically controlling latency for input/output (I/O) operations to the block storage volumes. The system can selectively inject synthetic latency into the I/O operations according to how the server is loaded, thus enabling control of server load. For example, when the server is overloaded, additional synthetic latency can be injected into I/O operations to counteract overloading. This synthetic latency can then be removed when the server is no longer overloaded. Modifications of synthetic latency can be targeted to individual clients, individual types of I/O operations, or both, facilitating targeted performance shaping for servers hosting block storage volumes.
A selected value of a binary variable may be selected based on one or more operational classifications corresponding to a client. The selected value may be either a first value indicating that the client is not bot-operated or a second value indicating that the client is bot-operated. A token may be generated having cryptographically signed information indicating the selected value of the binary variable and first client information associated with the client. The token and a first request related to a first computing service may be received from the client. A validity determination for the token may be performed based at least in part on the selected value of the binary variable and the first client information. The validity determination may be that the token is valid or that the token is invalid. An action responsive to the first request may be performed based on the validity determination.
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
56.
Techniques for endpoint connection within a network of devices
Described herein are techniques for establishing a communication session between an endpoint device and a network. In embodiments, such techniques may comprise transmitting, by the endpoint device using a first communication protocol, a request to connect to a network. The endpoint device may then receive, from a network device, a request to establish a communication session using a second communication protocol. The techniques may further comprise authenticating, by the endpoint device, the network device as being associated with the network, and upon authenticating the network device, selecting, by the endpoint device, a security protocol associated with the network. The techniques may then comprise generating, by the endpoint device using the security protocol, a secure data packet, and transmitting, by the endpoint device to the network device, the secure data packet using the second communication protocol.
Techniques are described for a compute optimizer service of a cloud provider network that uses a multivariate time series machine learning (ML) model to identify network-intensive cloud workloads and to provide recommendations for optimizing such workloads. A network-intensive workload, for example, broadly represents any computing workload that uses relatively more network resources than typical workloads (e.g., such as load balancers, web servers, and the like). The ML model combines a set of weak learners and a meta-model on top of the weak learners to infer the final predictions of whether workloads are network-intensive workloads. The ML model identifies network-intensive workloads in part by recognizing the patterns within the time series data reflecting certain resource usage patterns rather than only deriving embedded statistical information, thereby enabling the model to more accurately identify network-intensive workloads.
Disclosed herein are techniques for obtaining weights for neural network computations. In one embodiment, an integrated circuit may include memory configured to store a first weight and a second weight; a row of processing elements comprising a first processing element and a second processing element, the first processing element comprising a first weight register, the second processing element comprising a second weight register, both of the first weight register and the second weight register being controllable by a weight load signal; and a controller configured to: provide the first weight from the memory to the row of processing elements; set the weight load signal to enable the first weight to propagate through the row to reach the first processing element; and set the weight load signal to store the first weight at the first weight register and a flush value at the second weight register.
G06F 15/80 - Architectures of general purpose stored program computers comprising an array of processing units with common control, e.g. single instruction multiple data processors
G06F 9/30 - Arrangements for executing machine instructions, e.g. instruction decode
59.
Artificial intelligence language model orchestrator for interactive searching
An artificial intelligence (“AI”) search system includes a generative model orchestrator. A user provides an initial input query. The AI search system can determine initial search results. The AI search system receives subsequent input queries, which can include user input indicative of user intent in natural language, such as, altering, complementary, reinforcing, and unrelated intent. The AI search system creates input data that includes a prefix, format instructions, example(s), the input query, and/or contextual metadata. The AI search system provides the input data to the generative model orchestrator, which can, as instructed, output an action for a service, such as a search or image service. The AI search system executes the action, determines additional search results, and provide the additional search result(s).
Relevant portions of broadcasts of live events, such as replays, may be marked or framed by patterns of one or more images. A model is trained with pairs of images and text descriptors to generate image embeddings and text embeddings representative of the images and text descriptors, respectively. Where a pattern of images includes one or more images, a user may specify one or more text descriptors representative of images of the pattern and identify portions of a media file with respect to such images. The model generates text embeddings of the text descriptors, as well as image embeddings of image frames of a video file broadcasted to viewers, including a relevant portion marked or framed by the pattern. Where an image embedding is sufficiently similar to one of the text embeddings, the pattern is detected, and the relevant portion is identified based on the pattern.
G06V 20/40 - ScenesScene-specific elements in video content
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
G06V 20/70 - Labelling scene content, e.g. deriving syntactic or semantic representations
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
H04N 21/439 - Processing of audio elementary streams
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
09 - Scientific and electric apparatus and instruments
41 - Education, entertainment, sporting and cultural services
Goods & Services
Pre-recorded downloadable audio recordings featuring entertainment programs namely factual entertainment, reality, and family shows; pre-recorded video recordings featuring entertainment programs namely factual entertainment, reality, and family shows; pre-recorded downloadable audio and visual recordings featuring entertainment programs namely factual entertainment, reality, and family shows; pre-recorded audio and visual recordings in optical discs, DVD and CD format featuring comedic entertainment programs; motion picture films featuring animated entertainment, action adventure, live action, comedy, musicals, drama and documentaries. Entertainment in the nature of an ongoing television series in the field of factual entertainment, reality, and family shows; entertainment services, namely, an ongoing television program in the field of factual entertainment, reality, and family shows provided through television, cable, the Internet and wireless communications networks; providing online non-downloadable comic books and graphic novels; providing a website featuring blogs and non-downloadable publications in the nature of books, graphic novels, comics and screenplays in the field of entertainment; providing a website featuring entertainment information, audio, video and prose presentations, and online-non-downloadable publications in the nature of fiction and non-fiction books, graphic novels and comics all in the field of entertainment; entertainment services, namely, arranging and conducting contests; providing current event news and information in the field of entertainment relating to contests, video, audio and prose presentations and publications all in the field of entertainment; providing on-line reviews of television shows and movies; providing a video-on-demand website featuring non-downloadable movies and films; providing a website featuring non-downloadable videos in the field of movies, television shows, and film trailers on a variety of topics; providing a searchable on-line entertainment database featuring on-line non-downloadable music, movies, television shows, multimedia presentations in the field of entertainment, audio files featuring music, comic books, and publications in the nature of entertainment; providing information on entertainment, movies and television shows via social networks.
62.
LOAD AWARE ROUTING FOR HETEROGENEOUS MACHINE LEARNING MODELS ACCESS VIA A COMMON NETWORK ENDPOINT
Load aware routing is performed for requests to managed network endpoints for heterogeneous machine learning models. A request to generate an inference is received via a managed network endpoint that invokes a specified machine learning model. Workloads of the different hosts for respective replicas of the machine learning model are evaluated to select one of the hosts to perform the request.
Technology is described for an object cache layer for a rules engine. The object cache layer may store derived objects. The object cache layer may take advantage of machine learning for incoming objects that have variable attributes. A trainable hash function may use a machine learning model to predict the incoming event schema and signature of derived objects from the incoming objects or queries. The trainable hash function may determine an incoming event schema and signature of a derived object using the machine learning model and a set of attributes of an incoming object. A cache manager of the object cache layer may use a hash value determined by the trainable hash function using the signature of the incoming object to determine whether to access the derived object in the cache. The trainable hash function may be trained at runtime using training signatures from the rules engine on cache misses.
Systems and techniques are described for providing video enhancements during sports broadcasts. In various examples, first tracking data representing first respective locations of a first plurality of players at a first time may be received. First embedding data representing a formation of the first plurality of players at the first time may be generated based at least in part on the first tracking data. A first defensive coverage may be predicted using the first embedding data based at least in part on a similarity between the first respective locations of the first plurality of players at the first time and second respective locations of a second plurality of players in a historical play. A first graphical overlay may be displayed on a live video feed, where the first graphical overlay indicating the first defensive coverage.
A determination is made that a graphical representation of network health state information pertaining to a client account of a provider network is to be provided. Using respective network metrics groups corresponding to several data sources, a network health state descriptor corresponding to a resource associated with the client account is generated. A data set usable to generate a graphical display of network health state information of the resource of the client account is transmitted.
Techniques are described for providing managed virtual computer networks that have a configured logical network topology with virtual networking devices, such as by a network-accessible configurable network service, with corresponding networking functionality provided for communications between multiple computing nodes of the virtual computer network by emulating functionality that would be provided by the virtual networking devices if they were physically present. In some situations, the networking functionality provided for a managed computer network of a client includes receiving routing communications directed to the virtual networking devices and using included routing information to update the configuration of the managed computer network, such as to allow at least some computing nodes of a managed computer network to dynamically signal particular types of uses of one or more indicated target network addresses and/or to dynamically signal use of particular external public network addresses based on such routing information.
H04L 41/0816 - Configuration setting characterised by the conditions triggering a change of settings the condition being an adaptation, e.g. in response to network events
H04L 41/0895 - Configuration of virtualised networks or elements, e.g. virtualised network function or OpenFlow elements
H04L 41/12 - Discovery or management of network topologies
H04L 41/40 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using virtualisation of network functions or resources, e.g. SDN or NFV entities
An electronic filter includes a ground plane and a top conductor overlying the ground plane. The top conductor includes an input and an output for receiving and outputting signals, respectively. The filter further includes a plurality of unit cells arranged in series along the top conductor. Each of the plurality of unit cells includes a planar structure disposed between the top conductor and the ground plane, a pair of below-plane vias connecting the planar structure to the ground plane, and a pair of above-plane structures extending from the planar structure. The top conductor, the planar structure, and the ground plane may be formed from adjacent or non-adjacent layers of a printed circuit board.
09 - Scientific and electric apparatus and instruments
37 - Construction and mining; installation and repair services
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Downloadable computer software for transmission and reception of voice, data, graphics, images, information, sound, video, and multimedia content by means of broadband or wireless networks; antennas; component parts for antennas; downloadable computer software for network management, network monitoring, data encryption, and enabling secure communications; radio frequency communications equipment for transmitting and receiving radio waves; transponders; downloadable computer software for signal management, telemetry data management, tracking, command operations, data processing, and onboard system diagnostics; transmitting and receiving apparatus for telecommunications; telemeters; wireless communication and networking equipment and systems for receiving, processing, and transmitting radio communications, wireless internet, and VOIP telephone services; wireless communication and networking equipment and systems for receiving, processing, and transmitting voice, data, graphics, images, information, sound, video, and multimedia content; electronic apparatus and devices for controlling access to broadband and to internet cloud-based systems; receivers; wireless routers; network routers for routing voice, data, graphics, images, information, sound, video, and multimedia content between telecommunications equipment and internet or cloud-based repositories; dish and antenna modules; downloadable computer software for decoding and analyzing information transmitted via wireless signals; transponders, antennas, solar panels, batteries, thermal insulation, gyroscopes, sensors, and thrusters, all for transmitting and receiving voice, data, graphics, images, information, sound, video, and multimedia content; internet servers; GPS devices; receiver and transmitter modules for telecommunications equipment; ground stations for receiving, transmitting, and amplifying wireless communications signals; downloadable computer software for monitoring and controlling ground station operations; transmitters of electronic signals; computer terminal equipment for receiving and processing wireless communications signals and providing access to communications networks; stands, mounting brackets, mounting devices, mounting racks, and mounts adapted for computer terminal equipment; downloadable computer software for remote management, configuration, monitoring, and troubleshooting of computer terminal equipment; downloadable computer software, namely, application programming interface (API) software for use in facilitating, managing, and providing internet access, data communication, and network connectivity; stands, mounting brackets, mounting devices, mounting racks, and mounts adapted for computer terminals; data processors; cable management accessories for computers and peripherals; adapters for computer peripherals; power cables for computers and peripherals; optical disk drives; smart card readers; data processing apparatus; solid state drives; memory card readers; computer peripherals; stands for computer equipment; computers; coaxial cables; mounting racks for communications hardware; external computer hard drives; electrical power supplies; cable connectors; disk drives; integrated circuits; electrical and electronic connectors; computer hardware; electrical conductors; computer terminals; installation kits for computer terminal equipment (1) Internet service provider (ISP) services; telecommunication services, namely, electronic data transmission and reception of voice, data, graphics, images, information, sound, video, and multimedia content via broadband, wireless, or cloud-based networks; providing access to cloud-based computing resources, data, databases, storage, and hosted virtual environments via telecommunications networks; providing access to remotely hosted operating systems, software, storage, and computer applications via telecommunications networks; providing electronic telecommunications connections and secure access to computer networks, virtual private networks, and centralized data or electronic files for remote consultation; providing multiple-user access to the internet, computer networks, and electronic communications networks; rental of telecommunications apparatus and installations; providing third-party users with access to telecommunications infrastructure; providing access to cloud-based computing resources, data storage, databases, and hosted virtual environments via telecommunications networks; electronic messaging and interactive communication services; telecommunications networking software services; providing secure access to computer networks via telecommunications networks; telecommunications services, namely, transmission and reception of wireless internet signals and VOIP telephone services; telecommunication services, namely, transmission and reception of voice, data, information, graphics, images, sound, video, and multimedia content by means of broadband or wireless networks; electronic transmission and reception of data to and from cloud-based computing resources and storage via computer terminals and electronic devices; providing access to electronic communications networks for transmission of voice, data, graphics, images, information, sound, video, and multimedia content; wireless broadband communications services; internet and data transmission services; telecommunications services; providing a website featuring information in the field of internet access and wireless communication systems; telecommunications services for providing multiple-user access to the internet, computer networks, and private electronic telecommunications networks; wholesale communications network access services
(2) Software as a service (SaaS) services featuring software for secure remote access to operating systems and computer applications; non-downloadable computer software for installing, testing, diagnosing, operating, and managing telecommunications equipment; software as a service (SaaS) services featuring software for monitoring data transfers and network performance; research and development services in the field of telecommunications and networking technology; providing temporary use of online applications and software tools; cloud computing services, namely remote data storage and processing; providing virtual computer systems through cloud computing; non-downloadable computer software for accessing wireless and broadband telecommunications networks; non-downloadable software for transmission and reception of voice, data, graphics, images, information, sound, video, and multimedia content by means of broadband or wireless communications networks to and from the internet or cloud-based repositories; consulting services in the field of telecommunications and networking technology; development and testing of computing methods, algorithms, and software for processing telecommunications signals; data backup and data restoration services; software as a service (SaaS) services featuring software for collecting, editing, modifying, organizing, synchronizing, integrating, monitoring, transmitting, storage, and sharing of data and information; design, programming, updating, and maintenance of software for internet connectivity; non-downloadable software for monitoring and controlling ground station operations; non-downloadable computer software for network management, monitoring, data encryption, and secure communications; non-downloadable computer software for decoding and analyzing information transmitted via wireless signals; software as a service (SaaS) services featuring software for secure remote access to databases; design, development, installation, updating, technical support, monitoring, and maintenance of telecommunications software; non-downloadable computer software for signal management, telemetry data management, tracking, command operations, data processing, and onboard system diagnostics; cloud computing services; software development services; software as a service (SaaS) services featuring software for cloud-based migration and management; providing temporary use of non-downloadable computer software; design and development of telecommunications networks; non-downloadable computer software for remote management, configuration, monitoring, and troubleshooting of computer terminals; application service provider (ASP) featuring application programming interface (API) software for use by others in facilitating, managing, and providing internet access, data communication, and network connectivity; computer technical support services, namely, 24/7 service desk or help desk services for IT infrastructure, operating systems, database systems, and web applications
09 - Scientific and electric apparatus and instruments
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable computer software for transmission and reception of voice, data, graphics, images, information, sound, video, and multimedia content by means of broadband or wireless networks; antennas; component parts for antennas; downloadable computer software for network management, network monitoring, data encryption, and enabling secure communications; radio frequency communications equipment for transmitting and receiving radio waves; transponders; downloadable computer software for signal management, telemetry data management, tracking, command operations, data processing, and onboard system diagnostics; transmitting and receiving apparatus for telecommunications; telemeters; wireless communication and networking equipment and systems for receiving, processing, and transmitting radio communications, wireless internet, and VOIP telephone services; wireless communication and networking equipment and systems for receiving, processing, and transmitting voice, data, graphics, images, information, sound, video, and multimedia content; electronic apparatus and devices for controlling access to broadband and to internet cloud-based systems; receivers; wireless routers; network routers for routing voice, data, graphics, images, information, sound, video, and multimedia content between telecommunications equipment and internet or cloud-based repositories; dish and antenna modules; downloadable computer software for decoding and analyzing information transmitted via wireless signals; transponders, antennas, solar panels, batteries, thermal insulation, gyroscopes, sensors, and thrusters, all for transmitting and receiving voice, data, graphics, images, information, sound, video, and multimedia content; internet servers; GPS devices; receiver and transmitter modules for telecommunications equipment; ground stations for receiving, transmitting, and amplifying wireless communications signals; downloadable computer software for monitoring and controlling ground station operations; transmitters of electronic signals; computer terminal equipment for receiving and processing wireless communications signals and providing access to communications networks; stands, mounting brackets, mounting devices, mounting racks, and mounts adapted for computer terminal equipment; downloadable computer software for remote management, configuration, monitoring, and troubleshooting of computer terminal equipment; downloadable computer software, namely, application programming interface (API) software for use in facilitating, managing, and providing internet access, data communication, and network connectivity; stands, mounting brackets, mounting devices, mounting racks, and mounts adapted for computer terminals; data processors; cable management accessories for computers and peripherals; adapters for computer peripherals; power cables for computers and peripherals; optical disk drives; smart card readers; data processing apparatus; solid state drives; memory card readers; computer peripherals; stands for computer equipment; computers; coaxial cables; mounting racks for communications hardware; external computer hard drives; electrical power supplies; cable connectors; disk drives; integrated circuits; electrical and electronic connectors; computer hardware; electrical conductors; computer terminals; installation kits for computer terminal equipment. Internet service provider (ISP) services; telecommunication services, namely, electronic data transmission and reception of voice, data, graphics, images, information, sound, video, and multimedia content via broadband, wireless, or cloud-based networks; providing access to cloud-based computing resources, data, databases, storage, and hosted virtual environments via telecommunications networks; providing access to remotely hosted operating systems, software, storage, and computer applications via telecommunications networks; providing electronic telecommunications connections and secure access to computer networks, virtual private networks, and centralized data or electronic files for remote consultation; providing multiple-user access to the internet, computer networks, and electronic communications networks; rental of telecommunications apparatus and installations; providing third-party users with access to telecommunications infrastructure; providing access to cloud-based computing resources, data storage, databases, and hosted virtual environments via telecommunications networks; electronic messaging and interactive communication services; telecommunications networking software services; providing secure access to computer networks via telecommunications networks; telecommunications services, namely, transmission and reception of wireless internet signals and VOIP telephone services; telecommunication services, namely, transmission and reception of voice, data, information, graphics, images, sound, video, and multimedia content by means of broadband or wireless networks; electronic transmission and reception of data to and from cloud-based computing resources and storage via computer terminals and electronic devices; providing access to electronic communications networks for transmission of voice, data, graphics, images, information, sound, video, and multimedia content; wireless broadband communications services; internet and data transmission services; telecommunications services; providing a website featuring information in the field of internet access and wireless communication systems; telecommunications services for providing multiple-user access to the internet, computer networks, and private electronic telecommunications networks; wholesale communications network access services. Software as a service (SaaS) services featuring software for secure remote access to operating systems and computer applications; non-downloadable computer software for installing, testing, diagnosing, operating, and managing telecommunications equipment; software as a service (SaaS) services featuring software for monitoring data transfers and network performance; research and development services in the field of telecommunications and networking technology; providing temporary use of online applications and software tools; cloud computing services, namely remote data storage and processing; providing virtual computer systems through cloud computing; non-downloadable computer software for accessing wireless and broadband telecommunications networks; non-downloadable software for transmission and reception of voice, data, graphics, images, information, sound, video, and multimedia content by means of broadband or wireless communications networks to and from the internet or cloud-based repositories; consulting services in the field of telecommunications and networking technology; development and testing of computing methods, algorithms, and software for processing telecommunications signals; data backup and data restoration services; software as a service (SaaS) services featuring software for collecting, editing, modifying, organizing, synchronizing, integrating, monitoring, transmitting, storage, and sharing of data and information; design, programming, updating, and maintenance of software for internet connectivity; non-downloadable software for monitoring and controlling ground station operations; non-downloadable computer software for network management, monitoring, data encryption, and secure communications; non-downloadable computer software for decoding and analyzing information transmitted via wireless signals; software as a service (SaaS) services featuring software for secure remote access to databases; design, development, installation, updating, technical support, monitoring, and maintenance of telecommunications software; non-downloadable computer software for signal management, telemetry data management, tracking, command operations, data processing, and onboard system diagnostics; cloud computing services; software development services; software as a service (SaaS) services featuring software for cloud-based migration and management; providing temporary use of non-downloadable computer software; design and development of telecommunications networks; non-downloadable computer software for remote management, configuration, monitoring, and troubleshooting of computer terminals; application service provider (ASP) featuring application programming interface (API) software for use by others in facilitating, managing, and providing internet access, data communication, and network connectivity; computer technical support services, namely, 24/7 service desk or help desk services for IT infrastructure, operating systems, database systems, and web applications.
Technologies directed to are monitoring human vital signs with mmWave radars are described. One method sends a first signal having a first chirp that is a triangular-type chirp that increases in frequency for a first period and decreases in frequency for a second period and a second chirp that is a ramp-type chirp that increases in frequency for a third period. The method receives a second signal corresponding to the first signal. The method generates, using the first chirp and a first portion of the second signal, a third signal indicative of a human vital sign, such as a heart rate or a respiratory rate. The method measures a received signal strength indicator (RSSI) value of a second portion of the second signal at approximately 60 GHz. The method determines, using the RSSI value, a value indicative of oxygen-concentration in an ambient environment of the monitoring device.
G01S 13/28 - Systems for measuring distance only using transmission of interrupted, pulse modulated waves wherein the transmitted pulses use a frequency- or phase-modulated carrier wave with time compression of received pulses
G01S 13/88 - Radar or analogous systems, specially adapted for specific applications
Techniques for complex code modification via chain of thought prompting are described. A modification service obtains code to be modified according to a modification goal, and can decompose the modification goal, via use of a database or a machine learning model, to identify a set of modification steps. The set of modification steps may be organized according to a chain of thoughts, tree of thoughts, or graph of thoughts. The modification service can execute the set of modification steps via use of a machine learning model to yield modified code, which can be returned to a user.
In a computer or other electronic device that uses a boot process, it is desirable to allow updating of boot images without impacting objects sealed using trusted keys. In one embodiment, multiple platform configuration registers (PCRs) within a Trusted Platform Module (TPM) are used in association with the booting process. A first PCR can be associated with a first boot image and a second PCR can be associated with a second boot image. A change in the first boot image results in a change of the first PCR value, but the second PCR value can remain unchanged. Accordingly, any objects that are sealed using a trusted key as the second PCR value need not be resealed. Addition PCRs can be added for additional boot images.
Systems and methods provide for modular, iterative framework to resolve inputs provided to an interaction environment. The input may be decomposed into different component parts and then relevant actions for each of the component parts may be predicted. An action may be selected and relevant parameters may be populated based on the input. If parameters remain unresolved, additional queries may be presented in order to resolve the remaining parameters. Multiple actions may be executed and then prepared to generate a combined response responsive to the input. Actions for a given interaction environment may be domain-specific and also may be developer-defined for a given goal or task to restrict one or more underlying language systems.
A storage driver for a storage space (e.g., hard disk volume) may use intermediate mappings for write, create, and delete requests to prevent data loss from ransomware. The storage driver receives a request to overwrite a data item (e.g., file or object) at a first location of a storage space and in response, writes data to a second location of the storage space. The storage driver also generates a write mapping that associates the first location with the second location. At a later point in time, the storage driver may determine whether to commit the request to overwrite the data item. If the storage driver determines not to commit the request to overwrite the data item (due to the data being the result of a ransomware attack), then the storage driver deletes the write mapping, preventing the first location from being overwritten (preventing data loss from a ransomware attack).
This patent application relates to using framework parameters with a large language model to create beams based on a prompt. The beams can be evaluated using multiple criteria of a reward model that can be weighted for importance. The beams can be evaluated according to each of the one or more criteria and compared to determine which beams most closely align with the criteria. The beam that best aligns can be selected to generate a response.
A diffusion model receives as inputs an image of a background, first text describing the background, and second text describing an object to be added to the background. Using these inputs, the diffusion model generates an output image depicting the object within the background. To improve fidelity to the background image, the diffusion model uses the inputs associated with the background and the input associated with the object as separate conditions and determines a weight parameter that controls the probability of characteristics of each input occurring in the output image. Noise is added to the background image to create an initial image for the diffusion model. The first text and the second text are both used, in conjunction with the weight parameter, to determine a prompt to cause the diffusion model to generate an image of the object included in the background, while retaining the characteristics of the background image.
H04N 5/272 - Means for inserting a foreground image in a background image, i.e. inlay, outlay
79.
Computer-implemented methods for implementing a privacy compliance watermark that indicates one or more actions taken in the generation of modified media content according to one or more privacy settings for a client device
Techniques for utilizing a privacy compliance watermark in modified media (e.g., video) that indicates one or more actions taken in the generation of the modified media (e.g., video) content according to one or more privacy settings for a user are described. According to some examples, a computer-implemented method includes receiving a request, by a provider network from a client device, including one or more privacy settings for the client device; inserting, by the provider network, secondary content according to the one or more privacy settings for the client device into primary content to generate modified content; generating, by the provider network, a privacy compliance watermark that indicates one or more actions taken by the provider network according to the one or more privacy settings for the client device; transmitting the privacy compliance watermark from the provider network to the client device or to a service; and sending the modified content from the provider network to the client device.
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/233 - Processing of audio elementary streams
H04N 21/2389 - Multiplex stream processing, e.g. multiplex stream encrypting
H04N 21/262 - Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission or generating play-lists
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
09 - Scientific and electric apparatus and instruments
37 - Construction and mining; installation and repair services
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Downloadable computer software for transmission and reception of voice, data, graphics, images, information, sound, video, and multimedia content by means of broadband or wireless networks; antennas; component parts for antennas; downloadable computer software for network management, network monitoring, data encryption, and enabling secure communications; radio frequency communications equipment for transmitting and receiving radio waves; transponders; downloadable computer software for signal management, telemetry data management, tracking, command operations, data processing, and onboard system diagnostics; transmitting and receiving apparatus for telecommunications; telemeters; wireless communication and networking equipment and systems for receiving, processing, and transmitting radio communications, wireless internet, and VOIP telephone services; wireless communication and networking equipment and systems for receiving, processing, and transmitting voice, data, graphics, images, information, sound, video, and multimedia content; electronic apparatus and devices for controlling access to broadband and to internet cloud-based systems; receivers; wireless routers; network routers for routing voice, data, graphics, images, information, sound, video, and multimedia content between telecommunications equipment and internet or cloud-based repositories; dish and antenna modules; downloadable computer software for decoding and analyzing information transmitted via wireless signals; transponders, antennas, solar panels, batteries, thermal insulation, gyroscopes, sensors, and thrusters, all for transmitting and receiving voice, data, graphics, images, information, sound, video, and multimedia content; internet servers; GPS devices; receiver and transmitter modules for telecommunications equipment; ground stations for receiving, transmitting, and amplifying wireless communications signals; downloadable computer software for monitoring and controlling ground station operations; transmitters of electronic signals; computer terminal equipment for receiving and processing wireless communications signals and providing access to communications networks; stands, mounting brackets, mounting devices, mounting racks, and mounts adapted for computer terminal equipment; downloadable computer software for remote management, configuration, monitoring, and troubleshooting of computer terminal equipment; downloadable computer software, namely, application programming interface (API) software for use in facilitating, managing, and providing internet access, data communication, and network connectivity; stands, mounting brackets, mounting devices, mounting racks, and mounts adapted for computer terminals; data processors; cable management accessories for computers and peripherals; adapters for computer peripherals; power cables for computers and peripherals; optical disk drives; smart card readers; data processing apparatus; solid state drives; memory card readers; computer peripherals; stands for computer equipment; computers; coaxial cables; mounting racks for communications hardware; external computer hard drives; electrical power supplies; cable connectors; disk drives; integrated circuits; electrical and electronic connectors; computer hardware; electrical conductors; computer terminals; installation kits for computer terminal equipment (1) Internet service provider (ISP) services; telecommunication services, namely, electronic data transmission and reception of voice, data, graphics, images, information, sound, video, and multimedia content via broadband, wireless, or cloud-based networks; providing access to cloud-based computing resources, data, databases, storage, and hosted virtual environments via telecommunications networks; providing access to remotely hosted operating systems, software, storage, and computer applications via telecommunications networks; providing electronic telecommunications connections and secure access to computer networks, virtual private networks, and centralized data or electronic files for remote consultation; providing multiple-user access to the internet, computer networks, and electronic communications networks; rental of telecommunications apparatus and installations; providing third-party users with access to telecommunications infrastructure; providing access to cloud-based computing resources, data storage, databases, and hosted virtual environments via telecommunications networks; electronic messaging and interactive communication services; telecommunications networking software services; providing secure access to computer networks via telecommunications networks; telecommunications services, namely, transmission and reception of wireless internet signals and VOIP telephone services; telecommunication services, namely, transmission and reception of voice, data, information, graphics, images, sound, video, and multimedia content by means of broadband or wireless networks; electronic transmission and reception of data to and from cloud-based computing resources and storage via computer terminals and electronic devices; providing access to electronic communications networks for transmission of voice, data, graphics, images, information, sound, video, and multimedia content; wireless broadband communications services; internet and data transmission services; telecommunications services; providing a website featuring information in the field of internet access and wireless communication systems; telecommunications services for providing multiple-user access to the internet, computer networks, and private electronic telecommunications networks; wholesale communications network access services
(2) Software as a service (SaaS) services featuring software for secure remote access to operating systems and computer applications; non-downloadable computer software for installing, testing, diagnosing, operating, and managing telecommunications equipment; software as a service (SaaS) services featuring software for monitoring data transfers and network performance; research and development services in the field of telecommunications and networking technology; providing temporary use of online applications and software tools; cloud computing services, namely remote data storage and processing; providing virtual computer systems through cloud computing; non-downloadable computer software for accessing wireless and broadband telecommunications networks; non-downloadable software for transmission and reception of voice, data, graphics, images, information, sound, video, and multimedia content by means of broadband or wireless communications networks to and from the internet or cloud-based repositories; consulting services in the field of telecommunications and networking technology; development and testing of computing methods, algorithms, and software for processing telecommunications signals; data backup and data restoration services; software as a service (SaaS) services featuring software for collecting, editing, modifying, organizing, synchronizing, integrating, monitoring, transmitting, storage, and sharing of data and information; design, programming, updating, and maintenance of software for internet connectivity; non-downloadable software for monitoring and controlling ground station operations; non-downloadable computer software for network management, monitoring, data encryption, and secure communications; non-downloadable computer software for decoding and analyzing information transmitted via wireless signals; software as a service (SaaS) services featuring software for secure remote access to databases; design, development, installation, updating, technical support, monitoring, and maintenance of telecommunications software; non-downloadable computer software for signal management, telemetry data management, tracking, command operations, data processing, and onboard system diagnostics; cloud computing services; software development services; software as a service (SaaS) services featuring software for cloud-based migration and management; providing temporary use of non-downloadable computer software; design and development of telecommunications networks; non-downloadable computer software for remote management, configuration, monitoring, and troubleshooting of computer terminals; application service provider (ASP) featuring application programming interface (API) software for use by others in facilitating, managing, and providing internet access, data communication, and network connectivity; computer technical support services, namely, 24/7 service desk or help desk services for IT infrastructure, operating systems, database systems, and web applications
Methods and apparatus for interfaces to manage direct network peerings. A system may include a data center, endpoint routers and a connectivity coordinator. The coordinator implements a programmatic interface defining connectivity operations. The coordinator receives a request for dedicated connectivity to data center resources, formatted according to the interface. The coordinator selects a target endpoint router at which to establish a physical link to implement the dedicated connectivity, and transmits a response identifying the target endpoint router and including configuration instructions for setting up a physical link for the dedicated connectivity.
H04L 41/046 - Network management architectures or arrangements comprising network management agents or mobile agents therefor
H04L 41/0896 - Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities
H04L 43/0811 - Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking connectivity
H04L 45/302 - Route determination based on requested QoS
83.
Regional body composition from two-dimensional color body images
Described are systems and methods to determine one or more regional body composition values for one or more regions of a body based on a processing of one or more two-dimensional images that include a representation of the body. Regional body composition values may include any of a fat tissue mass, a lean muscle mass, a bone mineral density, a skeletal muscle mass, etc., which may be determined for any one or more regions of the body, such as the right arm, left arm, right leg, left leg, trunk, android, gynoid, etc.
Techniques for generating pose sequences for a robotic manipulator to perform a task based on velocity ellipsoids and force ellipsoids are described herein. For example, a computer system can generate candidate pose configurations of a robotic manipulator. Each candidate pose configuration can include a first end of the robotic manipulator being positioned along a trajectory. The computer system can determine a velocity ellipsoid and a force ellipsoid for each candidate pose configuration. The computer system can generate a sequence of pose configurations for the robotic manipulator to perform a task along the trajectory by minimizing a cost function subject to one or more constraints based at least in part on (i) the candidate pose configurations, (ii) a first weight for the velocity ellipsoid, and (iii) a second weight for the force ellipsoid.
Aspects described herein include an apparatus for charging an autonomous ground vehicle (AGV). The apparatus includes a plurality of first electrical contacts coupled to a power supply and that project upwardly from a base, and a plurality of receiver sections dimensioned to retain portions of a plurality of axially-aligned wheels of the AGV. The first electrical contacts are arranged relative to the plurality of receiver sections such that when the axially-aligned wheels roll into the plurality of receiver sections, second electrical contacts of the AGV are contacted to the first electrical contacts. After a plurality of the second electrical contacts are contacted with power contacts of the first electrical contacts, at least one other of the second electrical contacts is contacted with a control contact of the first electrical contacts to enable power delivery to the AGV through the power contacts.
B60L 53/30 - Constructional details of charging stations
B60L 53/10 - Methods of charging batteries, specially adapted for electric vehiclesCharging stations or on-board charging equipment thereforExchange of energy storage elements in electric vehicles characterised by the energy transfer between the charging station and the vehicle
86.
Predictive material handling equipment jam prevention
Techniques for predicting and preventing jams in material handling equipment are described. In an example, a device includes a camera that can generate a video including image frames showing a material handling equipment. The device also includes a computer system that can generate an input including the image frames to a machine learning model. The computer system can determine an output of the machine learning model based on the input that includes a prediction that a jam in the material handling equipment is to occur within a next time interval and a classification of the jam. The jam can involve an object being handled by the material handling equipment. The computer system can determine a jam prevention action to perform based on the classification. The computer system can cause the jam prevention action to be performed within the next time interval in association with the object to prevent the jam.
G06T 7/70 - Determining position or orientation of objects or cameras
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
87.
Out-of-band schema tracking for change-data-capture logs
Methods for replicating transactional tables of a transactional database to a recipient system, such as an analytical database, and maintaining updates to those transactional table representations are disclosed. More particularly, change-data-capture items are generated by a transport engine, that is separate from a database engine for the transactional database. Also, schema data is maintained out-of-band from the database engine and is stitched with committed change payload contents by the transport engine.
In one example, an apparatus comprises: a direct memory access (DMA) descriptor queue that stores DMA descriptors, each DMA descriptor including an indirect address; an address translation table that stores an address mapping between indirect addresses and physical addresses; and a DMA engine configured to: fetch a DMA descriptor from the DMA descriptor queue to the address translation table to translate a first indirect address of the DMA descriptor to a first physical address based on the address mapping, and perform a DMA operation based on executing the DMA descriptor to transfer data to or from the first physical address.
G06F 12/1081 - Address translation for peripheral access to main memory, e.g. direct memory access [DMA]
G06F 13/16 - Handling requests for interconnection or transfer for access to memory bus
G06F 13/28 - Handling requests for interconnection or transfer for access to input/output bus using burst mode transfer, e.g. direct memory access, cycle steal
G11C 15/04 - Digital stores in which information comprising one or more characteristic parts is written into the store and in which information is read-out by searching for one or more of these characteristic parts, i.e. associative or content-addressed stores using semiconductor elements
89.
Selection of inputs for training machine-trained network
Some embodiments provide a method for training a machine-trained network that includes multiple parameters. The method propagates a batch of input training items through the network to generate output values and compute values of a loss function for each of the input training items. The method uses the computed values of the loss function for the input training items to adjust the parameters of the network. The method computes a gradient of the loss function for each of the input training items. The method selects input training items for subsequent batches of input training items based on a ratio of the value of the loss function to the gradient of the loss function for each of the input training items.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/771 - Feature selection, e.g. selecting representative features from a multi-dimensional feature space
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
Devices and techniques are generally described for local device embeddings for automation. In various examples, first data representing first state change data for network-connected computing devices configured in communication with a first network may be determined. The first data may be input into a first machine learning model. In some examples, the first machine learning model may generate first embedding data representing a combination of the first data and second data. In some examples, the second data may represent historical state change data for the network-connected devices. In some examples, the first embedding data may be stored in memory. A first action may be performed by a first network-connected device based at least in part on the first embedding data.
G06F 18/2135 - Feature extraction, e.g. by transforming the feature spaceSummarisationMappings, e.g. subspace methods based on approximation criteria, e.g. principal component analysis
G06F 18/214 - Generating training patternsBootstrap methods, e.g. bagging or boosting
Described herein are techniques for initiating an action upon detecting an object within a custom intrusion zone. In embodiments, such techniques may comprise storing first data defining an intrusion zone, the first data indicating, for each of a plurality of boundary points, a respective position relative to the electronic device, receiving radar data generated by one or more radar sensors, detecting, based on the radar data, an object within a radar zone associated with the one or more radar sensors, determining, based on the radar data, an object position represented by an angle of the object relative to and a distance of the object from the electronic device, determining, based on the first data defining the intrusion zone, that the object position is within the intrusion zone, and based at least in part on determining that the object position is within the intrusion zone, initiating an action.
G08B 13/196 - Actuation by interference with heat, light, or radiation of shorter wavelengthActuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
G01S 13/88 - Radar or analogous systems, specially adapted for specific applications
An autonomous mobile device (AMD) may use an indirect time of flight (iTOF) sensor to acquire depth information about a physical space. This sensor may experience veiling glare in which multipath interference results in incorrect output of false objects that are not actually present in the physical space. A frame of depth data from the iTOF sensor is processed to determine if veiling glare may be present. A frame with possible veiling glare is then filtered at a pixel level to provide filtered depth data by removing or replacing depth data from pixels that may exhibit veiling glare. These pixels are determined to exhibit veiling glare by comparing their amplitude data with amplitude thresholds associated with an observed distance of that pixel and a specified error tolerance. The filtered data may then be used to operate the AMD.
G01S 17/894 - 3D imaging with simultaneous measurement of time-of-flight at a 2D array of receiver pixels, e.g. time-of-flight cameras or flash lidar
G01S 7/48 - Details of systems according to groups , , of systems according to group
G01S 17/32 - Systems determining position data of a target for measuring distance only using transmission of continuous waves, whether amplitude-, frequency-, or phase-modulated, or unmodulated
G01S 17/46 - Indirect determination of position data
93.
User-configured multi-location service deployment and scaling
Techniques for intelligent user-configured multi-location service deployment and scaling are described. Autoscaling configuration data is received, the autoscaling configuration data including an application redistribution trigger condition and a placement optimization constraint, the application redistribution trigger condition based on a variable associated with a state of an application, the application deployed across a first set of deployment zones of a plurality of deployment zones of a cloud provider network. The application redistribution trigger condition is determined to be satisfied. A redistribution placement plan is obtained that satisfies the placement optimization constraint and identifies a second set of deployment zones of the plurality of deployment zones of the cloud provider network across which to deploy the application. The application is redistributed across the second set of deployment zones.
This disclosure describes, in part, systems for enabling facilities to implement techniques to identify items using weight sensors. For instance, a first weight sensor may determine a first weight associated with a first item, where the first item is priced per unit weight. The first weight sensor may be located within an inventory location associated with the item or a station that weighs and prices items. A second weight sensor may then determine a second weight of a second item. The second weight sensor may be located within the station or a tote, such as a shopping cart. A system may then use the second weight and the first weight to determine that the second item includes the first item. In some instances, the system may also use locations of the weight sensors, a time of flight of the item, and/or other information to make the determination.
A system that performs event detection using a multi-branched network for sensor fusion. For example, a device may detect when a tap event occurs on a surface of the device using a combination of microphone audio data and sensor data, such as motion data generated by a motion sensor. Prior to combining these inputs for further inference, the device may use separate neural networks to independently extract features from the audio data and the sensor data. This improves an accuracy of tap detection and enables detection of additional tap gestures and/or other types of event/activity detection, such as typing detection. The multi-branched network may generate fused data by processing audio features, motion data, raw audio data, raw accelerometer data, and/or additional sensor data. Depending on the inputs, a number of branches, a branch depth, and/or a number of event detectors may vary without departing from the disclosure.
Devices and techniques are generally described for an event timeline system. In some examples, first prompt data including a first natural language input may be generated. An LLM may generate a first directive to send a first request to a first interface of a first computer-implemented system using the first prompt data. First result data may be received from the first computer-implemented system in response to the first request. The first result data may include a first time-stamped event associated with a first device. Second prompt data including the first natural language input and a representation of the first result data may be generated. The LLM may generate a first output action responsive to the first natural language input using the second prompt data.
Techniques for routing data, in a system including multiple assistants, are described. A user device may store configuration data for a virtual assistant, where the configuration data includes a virtual assistant identifier, one or more resource identifiers, and optionally a virtual assistant name. A resource identifier may correspond to a virtual assistant component implemented by the user device, or a virtual assistant component(s) in communication with the user device. Based on the user device storing the configuration data, the user device may send virtual assistant data to at least one system component, where the virtual assistant data corresponds to each virtual assistant implemented at least partially by the first user device, and the virtual assistant data includes the configuration data. When the user device receives event data associated with a virtual assistant identifier, the user device may use stored configuration data to determine a resource identifier(s) associated with the virtual assistant identifier, associated with the event data. The user device may thereafter send the event data to the component and/or device(s) corresponding to the determined resource identifier(s).
A system configured to perform noise suppression using subspace processing. For example, a device may estimate a multichannel noise subspace and use the estimated noise subspace to perform noise suppression while preserving coherence between microphones, enabling further processing (e.g., beamforming, SSL processing). The device may estimate the noise subspace during non-speech activity to determine a set of principal noise components in each frequency band. In some examples, the device may perform time-varying principal component analysis (PCA) processing to adaptively estimate the noise subspace. For example, the device may determine a noise matrix, estimate the noise subspace using dominant eigenvectors of the noise matrix, project the input noisy observations onto the null space of noise to determine a noise estimate and perform noise suppression. To reduce signal distortion, the device may use a signal quality metric as a proxy for speech detection and vary an amount of noise suppression accordingly.
G10L 21/0216 - Noise filtering characterised by the method used for estimating noise
G10L 25/60 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination for measuring the quality of voice signals
G10L 25/78 - Detection of presence or absence of voice signals
99.
Cluster optimization for adaptive bitrate estimation
Techniques and systems for adaptive optimization of clusters for bitrate prediction are disclosed. In some embodiments, such techniques may include extracting, in real-time, features from content segments of a video stream; identifying superclusters representing optimal bitrates for the content segments of the live video stream based on a mapping of the features to superclusters generated by one or more trained machine learning models, the identified superclusters configured to maintain a quality level associated with the content segments; assigning a subcluster between the identified superclusters; and applying bitrates associated with the identified superclusters and the subcluster to the video stream.
H04N 19/146 - Data rate or code amount at the encoder output
H04N 19/136 - Incoming video signal characteristics or properties
H04N 19/154 - Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
H04N 19/184 - 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 bits, e.g. of the compressed video stream
H04N 19/42 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
H04N 19/50 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
