In response to a first programmatic request, metadata indicating that a first isolated read channel of a real-time category has been associated with a first target stream is stored at a stream management service. In response to another request, metadata indicating that a second isolated read channel of a non-real-time category has been associated with a second target stream is stored. In response to a read request indicating the first channel or the second channel, one or more data records of the corresponding target streams are provided.
H04L 67/1029 - Protocoles dans lesquels une application est distribuée parmi les nœuds du réseau pour accéder à un serveur parmi une pluralité de serveurs répliqués en utilisant des données liées à l'état des serveurs par un répartiteur de charge
G06F 16/28 - Bases de données caractérisées par leurs modèles, p. ex. des modèles relationnels ou objet
2.
PROVISIONING OF A SHIPPABLE STORAGE DEVICE AND INGESTING DATA FROM THE SHIPPABLE STORAGE DEVICE
When a client requests a data import job, a remote storage service provider provisions a shippable storage device that will be used to transfer client data from the client to the service provider for import. The service provider generates security information for the data import job, provisions the shippable storage device with the security information, and sends the shippable storage device to the client. The service provider also sends client-keys to the client, separate from the shippable storage device (e.g., via a network). The client receives the device, encrypts the client data and keys, transfers the encrypted data and keys onto the device, and ships it back to the service provider. The remote storage service provider authenticates the storage device, decrypts client-generated keys using the client-keys stored at the storage service provider, decrypts the data using the decrypted client-side generated keys, and imports the decrypted data.
G06F 21/44 - Authentification de programme ou de dispositif
G06F 21/80 - Protection de composants spécifiques internes ou périphériques, où la protection d'un composant mène à la protection de tout le calculateur pour assurer la sécurité du stockage de données dans les supports de stockage magnétique ou optique, p. ex. disques avec secteurs
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
G06Q 10/0631 - Planification, affectation, distribution ou ordonnancement de ressources d’entreprises ou d’organisations
G06Q 10/08 - Logistique, p. ex. entreposage, chargement ou distributionGestion d’inventaires ou de stocks
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
Systems and methods for providing encrypted cryptographic keys. A system obtains a request to generate a data key. The system generates the data key and a data structure comprising the data key encrypted with keys from a set of compute regions. The system provides the data structure and the data key in response to the request. The data structure can be used to obtain the data key contingent on at least one compute region of the set of compute regions being available.
G06F 21/10 - Protection de programmes ou contenus distribués, p. ex. vente ou concession de licence de matériel soumis à droit de reproduction
G06F 21/54 - Contrôle des utilisateurs, des programmes ou des dispositifs de préservation de l’intégrité des plates-formes, p. ex. des processeurs, des micrologiciels ou des systèmes d’exploitation au stade de l’exécution du programme, p. ex. intégrité de la pile, débordement de tampon ou prévention d'effacement involontaire de données par ajout de routines ou d’objets de sécurité aux programmes
G06F 21/62 - Protection de l’accès à des données via une plate-forme, p. ex. par clés ou règles de contrôle de l’accès
4.
Isolated accelerator management intermediaries for virtualization hosts
An isolated accelerator management intermediary running at a virtualization host uses a management interface exposed by a hardware accelerator to perform a set of operations to enable access to the hardware accelerator from a guest virtual machine. The operations include configuring a guest-accessible interface of the accelerator. A virtualization management component of the host launches the guest virtual machine after the set of operations is completed.
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
An enhanced circuit breaker in an alternating current (AC) electrical distribution system offers improved safety and control over an attached load. The enhanced circuit breaker contains sensors, control circuitry, and a main switch and a load switch that are actuator-operated and wired in series on the hot wire between the line and the load. The main switch may be tripped by the actuator to open, while a manual intervention is required to close. The load switch may be electronically opened and closed by operation of the actuator. Sensors within the enhanced circuit breaker may be used to detect fault conditions, as well as gathering data that may be used for predicting failures. Data from the sensors from one or more breakers may be used to determine state of the system, predict failures, and so forth. The breaker operates the load switch responsive to an external command.
H02H 3/00 - Circuits de protection de sécurité pour déconnexion automatique due directement à un changement indésirable des conditions électriques normales de travail avec ou sans reconnexion
H02H 1/00 - Détails de circuits de protection de sécurité
H02H 5/04 - Circuits de protection de sécurité pour déconnexion automatique due directement à un changement indésirable des conditions non électriques normales de travail avec ou sans reconnexion sensibles à une température anormale
7.
Machine learning model-based resolution of location information
Techniques for improving last mile transportation and planning execution are described. In an example, a description of an address is received. Whether the address is not associated with a known geocode is determined. Using an ML model, an embedding vector of the address in an embedding space is generated, the ML model trained to embed addresses and geocodes in the embedding space. Based on the embedding vector, one or more known geocodes is determined. The address is then associated with the one or more known geocodes.
A system may be configured to receive and process various signals to generate a natural language description of a user's environment, called situational context data. The signals may include sensor data, device status, user activity, user input, and/or inferences made using such data. The situational context data may express a user-centric description of the user's environment; for example: “User is taking a walk in the park on a sunny afternoon” or “activity: driving location: highway”, etc. The system may send the situational context data to various system components that may, for example, process speech, select applications/skills for handling user inputs, and/or that implement those applications/skills. The applications/skills may use the situational context data to provide recommendations, generate responses, and/or perform actions that are more relevant to the user's current environment.
A photoplethysmogram (PPG) signal may be used to determine values representing a pulse rate, oxygen saturation, or respiration rate of a user by determining data points of the signal that correspond to local maxima (peaks) and local minima (valleys). Peaks and valleys are identified based on the directional components of sets of points that precede and follow the peak or valley, and values for one or more of those points relative to the value for the peak or valley. Once peaks and valleys of the signal are identified, lengths of time between adjacent peaks or valleys may be used to determine pulse rate. Differences in values represented by an adjacent peak and valley for different wavelengths of the PPG signal may be used to determine oxygen saturation. Changes in distances between adjacent peaks or valleys and amplitude of the PPG signal over time may be used to determine respiration rate.
A61B 5/08 - Dispositifs de mesure pour examiner les organes respiratoires
A61B 5/1455 - Mesure des caractéristiques du sang in vivo, p. ex. de la concentration des gaz dans le sang ou de la valeur du pH du sang en utilisant des capteurs optiques, p. ex. des oxymètres à photométrie spectrale
Techniques for determining supplemental content of potential interest to a user are described. A system may receive system usage data of a user and supplemental content presentation data including supplemental content and indicating how it is to be presented. The system may determine first embedding data representing the system usage data and second embedding data representing the supplemental content presentation data. The system may receive dialog data including a user input and a system response to the user input. The system may determine, using a language model, third embedding data representing the user input, fourth embedding data representing the system response, and fifth embedding data representing the supplemental content. The system may determine a pairwise dot product using the first through fifth embedding data, and may process, using a neural network, the pairwise dot product to determine the supplemental content is to be presented.
H04N 21/478 - Services additionnels, p. ex. affichage de l'identification d'un appelant téléphonique ou application d'achat
G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
H04W 8/18 - Traitement de données utilisateur ou abonné, p. ex. services faisant l'objet d'un abonnement, préférences utilisateur ou profils utilisateurTransfert de données utilisateur ou abonné
In some embodiments, a natural language understanding (NLU) hypothesis may be determined for a natural language input to a device and a first component may be used to obtain first visual content corresponding to a first skill associated with the first NLU hypothesis. A second component may also be used to obtain second visual content corresponding to a second skill. The device may be caused to output a first graphical user interface (GUI) element including the first visual content and a second GUI element including the second visual content. In response to a subsequent input to the device corresponding to the second GUI element, the device may be caused to output content corresponding to the second skill.
A device includes a deck configured to receive a container and a clamping mechanism configured clamp the container to the deck and unclamp the container from the deck. The clamping mechanism has one or more first fingers and one or more second fingers. The one or more first fingers are actuatable between a first position to clamp the container to the deck, and a second position to unclamp the container from the deck. The one or more second fingers are actuatable between a third position to clamp the container to the deck, and a fourth position to unclamp the container from the deck. The device further includes a button to at least partially control an actuation of at least one of the one or more first fingers or the one or more second fingers, a lighting element configured to illuminate according to an operational status of the clamping mechanism.
B62B 3/04 - Voitures à bras ayant plus d'un essieu portant les roues servant au déplacementDispositifs de direction à cet effetAppareillage à cet effet comportant des moyens pour accrocher ou saisir en place les objets à transporterAppareillage de manutention de charges
B62B 5/00 - Accessoires ou détails spécialement adaptés aux voitures à bras
Techniques for determining a device(s) to output content are described. A primary device may receive a user input. Skill component configuration data may be determined, where the skill component configuration data indicates at least one display capability for outputting visual content of the skill component. Based on the skill configuration data, it may be determined that a secondary device is usable to present the visual content of the skill component. The skill component may provide a response to the user input, where the response includes: (i) a first portion to be output using at least one speaker; and (ii) a second portion to be output using a display. The primary device may be used to present the first portion of the response as audio and the secondary device may be used to present the second portion of the response as displayed content.
Storage-side filtering may be implemented for performing hash join operations with respect to data stored in distributed data storage. When a query to a database stored in a distributed data store is received, a hash join operation may be identified for performing the query. As part of performing the hash join operation, a query engine may cause storage nodes in the distributed data storing data for the database to filter data before sending the data to the query engine according to a join predicate for the hash join operation. A result of the query may then be provided to a user, using the filtered data provided from the storage nodes.
Techniques for improving microphone noise suppression are provided. When a playback signal is available, a device may use the playback signal as a reference while performing Acoustic Echo Cancellation (AEC) processing. When the playback signal is not available, the device may instead use microphone audio signal(s) as the reference while performing Adaptive Interference Cancellation (AIC) processing. For example, the device may use first audio data generated by first microphones as the reference while performing AIC processing on the first audio data and second audio data generated by second microphones. As the adaptive filter used to perform AIC processing is updated at a slower rate, the reference signal only cancels stationary portions of the first audio data (e.g., noise), leaving a representation of transient sounds such as speech. In some examples, the device may perform AIC processing and AEC processing in series.
G10L 21/0364 - Amélioration de l'intelligibilité de la parole, p. ex. réduction de bruit ou annulation d'écho en changeant l’amplitude pour améliorer l'intelligibilité
G10K 11/178 - Procédés ou dispositifs de protection contre le bruit ou les autres ondes acoustiques ou pour amortir ceux-ci, en général utilisant des effets d'interférenceMasquage du son par régénération électro-acoustique en opposition de phase des ondes acoustiques originales
H04L 27/26 - Systèmes utilisant des codes à fréquences multiples
H04R 1/34 - Dispositions pour obtenir la fréquence désirée ou les caractéristiques directionnelles pour obtenir la caractéristique directionnelle désirée uniquement en utilisant un seul transducteur avec des moyens réfléchissant, diffractant, dirigeant ou guidant des sons
G10L 21/0216 - Filtration du bruit caractérisée par le procédé d’estimation du bruit
A distributed database keeps an abstract syntax tree (AST) and an included user code from interacting with a query engine coordinator during the performance of query execution processes. The query engine coordinator is separated into a frontend and backend, where a compiler on the frontend generates an AST and serializes it to be sent to the backend. The backend is implemented in a security environment separate from the front end. The backend deserializes the AST, sanitizes it, and generates a query plan based on the sanitized AST.
A transfer apparatus can include a laterally movable frame moveable in a lateral direction, an upright frame supported by the laterally movable frame, and a header movably coupled to the upright frame and configured to move in a vertical direction. The header can include an extractor. The header can also include a claw assembly configured to open and close. The extractor can pull an item over the claw assembly in a closed state, and the claw assembly can open for releasing the item over a carrier.
G06F 7/00 - Procédés ou dispositions pour le traitement de données en agissant sur l'ordre ou le contenu des données maniées
B65G 1/137 - Dispositifs d'emmagasinage mécaniques avec des aménagements ou des moyens de commande automatique pour choisir les objets qui doivent être enlevés
18.
Autonomous robotic pack planning systems and methods for item stability and integrity
Autonomous robotic pack planning systems and methods may include an item identification subsystem, a pack planning subsystem, and a robotic packing subsystem. Based on identified items to be packed, the pack planning subsystem may generate a pack plan with placement poses for items that satisfy various constraints, including containment constraints, stability constraints, and/or stress constraints. Then, the robotic packing subsystem may pack the items according to the pack plan. Further, packing of items may be monitored in real-time, and the pack plan may be dynamically adjusted or regenerated in response to deviations from the pack plan.
B65B 35/50 - Mise en pile des objets ou des groupes d'objets, les uns sur les autres, avant empaquetage
B65B 57/10 - Dispositifs de commande automatique, de vérification, d'alarme ou de sécurité sensibles à l'absence, à la présence, à l'alimentation anormale ou au mauvais positionnement des objets ou matériaux à emballer
G05B 19/402 - Commande numérique [CN], c.-à-d. machines fonctionnant automatiquement, en particulier machines-outils, p. ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'un programme sous forme numérique caractérisée par des dispositions de commande pour le positionnement, p. ex. centrage d'un outil par rapport à un trou dans la pièce à usiner, moyens de détection additionnels pour corriger la position
19.
Systems and methods for automatic aspect ratio adjustment for video content
Systems and methods are provided for automatic aspect ratio adjustment for video content. The system receives video content formatted in a first aspect ratio that is desired to be converted into a different aspect ratio. The video content is separated into segments, with each segment representing a different camera cut. A representative video frame from each segment is selected and fit to a canvas that is sized to the desired aspect ratio. The canvas is then provided to a generative AI model that is configured to “de-noise” the pixels of the canvas located around the boundaries of the original video frame. This de-noising process modifies the pixels such that they more closely resemble a natural continuation of the original video frame. The final output is a modified video frame at the new aspect ratio that is less likely to provide the appearance of a modified video frame than conventional methods for adjusting the aspect ratio of video content.
G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
Techniques for improving power integrity when executing a workload on an integrated circuit device may include applying a preset configuration to a power distribution network of the integrated circuit device for the workload being executed. A power distribution network controller can monitor a voltage noise level and/or a bit error rate of the integrated circuit device. Active filtering components of the power distribution network can be dynamically adjusted to keep the integrated circuit device within a voltage noise target and/or a bit error rate target.
Techniques for determining user identification and attributing the user identification to a touch input received at a touch screen enabled electronic device are described. Some embodiments may include a touch screen enabled electronic device performing facial recognition to determine the identification of a user providing a touch input to the touch screen enabled electronic device. In some embodiments, the user identification is determined from a group of users associated with the electronic device. The touch input may correspond to an action or request, such as selecting an icon on the touch screen. In some embodiments, output data may be generated for display on the touch screen in response to the selected action or request. The user identification determined from the facial recognition may be used to personalize or customize, such as based on user preferences, the output data for display on the touch screen.
G06F 21/00 - Dispositions de sécurité pour protéger les calculateurs, leurs composants, les programmes ou les données contre une activité non autorisée
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
G06F 21/83 - Protection des dispositifs de saisie, d’affichage de données ou d’interconnexion dispositifs de saisie de données, p. ex. claviers, souris ou commandes desdits claviers ou souris
G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
G10L 17/00 - Techniques d'identification ou de vérification du locuteur
Provided is a system for managing a pool of compute resources usable to execute user codes such as containerized software applications. The pool may include a plurality of sub-pools of compute instances that are each suited to handle a specific type of code execution requests and/or a specific set of capacity or resource configurations. For example, when a code execution request is received, the system may determine compute capacity from which sub-pool would be best suited to handle the request, and direct the request to that sub-pool (or execute the user code using compute capacity from that sub-pool). Each sub-pool may be assigned a generational indicator that indicates its level of use (e.g., rarely used, moderately use, frequently used, etc.) and/or its age (e.g., brand new, young, old, etc.). As a sub-pool experiences continued use, the sub-pool may be promoted and its retention/replenishment policy may be updated accordingly.
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
23.
Optimized container image retrieval for devices at edge locations
Techniques are described for enabling computing devices in computing environments distinct from a cloud provider network to use temporally staggered container image pull requests upon initiating execution of a container-based task. For example, upon determining to launch a container on a computing device running in a computing environment that is distinct from a cloud provider network, an agent running on the computing device can select a time in the future at which to request the container image(s) to be used to launch the container from a container registry based on a randomized value. The randomized value, for example, can enable each computing device in the environment to request the container image(s) at a time that differs from times at which other computing devices in the environment generate similar requests (e.g., such that the request times are “staggered” relative to one another).
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
Systems and methods for providing executable instructions to a neural network processor are provided. In one example, a system comprises a database that stores a plurality of executable instructions and a plurality of subgraph identifiers, each subgraph identifier of the plurality of subgraph identifiers being associated with a subset of instructions of the plurality of executable instructions. The system further includes a compiler configured to: identify a computational subgraph from a computational graph of a neural network model; compute a subgraph identifier for the computational subgraph, based on whether the subgraph identifier is included in the plurality of subgraph identifiers, either: obtain, from the database, first instructions associated with the subgraph identifier; or generate second instructions representing the computational subgraph; and provide the first instructions or the second instructions for execution by a neural network processor to perform computation operations for the neural network model.
Height adjustable trailers and trucks may include height adjustment mechanisms having drive wheels, drive motors, power supplies, and suspension linkages. For example, the suspension linkages may be moved between various positions to adjust the height of a chassis or cargo box of a trailer or truck. In addition, lock mechanisms associated with the suspension linkages may hold various positions and associated heights of the chassis or cargo box. Further, the various heights of the chassis or cargo box may also be associated with different wheelbases of the trailer or truck. The height adjustable trailers or trucks may improve safety, ergonomics, speed, and efficiency of various operations, including transport, loading, unloading, sortation, storage, or others. Moreover, some operations may be (semi-)autonomously performed by trailers having associated control systems, such as various movement, loading, unloading, staging, or other operations within yards of facilities.
B60P 1/02 - Véhicules destinés principalement au transport des charges et modifiés pour faciliter le chargement, la fixation de la charge ou son déchargement avec mouvement parallèle de haut en bas de l'élément supportant ou contenant la charge
B60G 7/00 - Bras de suspension articulésLeurs accessoires
This disclosure describes, in part, techniques for using presence detection in order to switch between power modes of a display device. For instance, the display device may operate in a first power mode by deactivating a display. While operating in the first power mode, the display device may use a sensor to detect a presence of a possible object. The display device may then switch to a second power mode in order to verify that the possible object is an actual object. In response, the display device may switch to a third power mode by at least activating the display and presenting a user interface using the display. The display device may then receive an interaction. In response, the display device may switch to a fourth power mode by at least presenting content.
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
H04N 21/443 - Procédés de système d'exploitation, p. ex. démarrage d'un boîtier décodeur STB, implémentation d'une machine virtuelle Java dans un boîtier décodeur STB ou gestion d'énergie dans un boîtier décodeur STB
System and methods are provided for estimating the sound field from partial observations. Estimating an acoustic environment for virtual reality and augmented reality applications is a step in the creation of simulated acoustic sound scenes. In particular, the impulse responses of room can be estimated with a generative model. In a teleconferencing scenario with remote participants and a group of participants in a common physical space, giving the remote participants the impression that all other participants are sitting is in the same room acoustically requires filtering the speech of the remote participants with impulse responses estimated at the desired rendering position in the conference room.
G10K 11/178 - Procédés ou dispositifs de protection contre le bruit ou les autres ondes acoustiques ou pour amortir ceux-ci, en général utilisant des effets d'interférenceMasquage du son par régénération électro-acoustique en opposition de phase des ondes acoustiques originales
30.
Communication escalation for a communication session
Context data may be received corresponding to a first communication session that includes a first user and a second user that joins the first communication session on behalf of a customer account. The context data may be provided to the first user and the second user. The context data may be stored in a searchable data storage that stores a communication session context history for the customer account. Search requests may be received, from the customer account, for searching the communication session context history. Responses may be provided based at least part on the context data. The context data may include second session information for joining a second communication session between the first user and the second user. Requests to join the second communication session may be received based on the second session information, and the second communication session may be established between the first user and the second user.
A speech processing system that enables voice-privacy mode operations for resource limited computing devices. A device that has limited speech processing capabilities/is otherwise resource limited, connects to a local host. The user may then enable a voice-privacy mode for the limited device. When the mode is active, if the limited device detects an utterance, it sends the audio data of the utterance to the local host, which performs limited speech processing and sends the resulting data back to the limited device, which then sends it to a more powerful device to complete the speech processing.
Devices and techniques are generally described for dynamic vehicle control. In some examples, first instructions may be sent to an electronic control unit (ECU) of the vehicle effective to route the vehicle to a first destination. In some examples, a determination may be made, for a first item carried by the vehicle while the vehicle is in route to the first destination, a first number of units of the first item present at a second destination. In some examples, a first score may be determined for the second destination based at least in part on the first number of units. The second destination may be selected for re-routing the vehicle based at least in part on the first score. Second instructions effective to re-route the vehicle from the first destination to the second destination. The second instructions may be sent to the ECU of the vehicle.
B60W 60/00 - Systèmes d’aide à la conduite spécialement adaptés aux véhicules routiers autonomes
G01C 21/34 - Recherche d'itinéraireGuidage en matière d'itinéraire
G05B 13/02 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques
33.
Cryptographic authentication signatures for verification of streaming data
Systems and techniques are described for signing and verifying a data stream with an encryption signature. An example method includes determining, for a data block group, an initialization vector. The example method also includes generating, based at least in part on the data block group, encrypted hash data. The example method also includes determining an encryption signature based at least in part on the encrypted hash data, a private key, and the initialization vector. The example method also includes inserting the encryption signature into the data block group. The example method also includes causing transmission, by a network interface to a media server, of the data block group and the encryption signature. Finally, the example method includes causing verification, via the media server using a public key and synchronized data, that the data block group was generated by the computing device.
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
Techniques are described here for prompt generation. An example method can include determining, using a first machine learning model, a characteristic of an item based at least in part on a textual description of the item. The method can further include receiving a first input indicating a qualifier describing a theme for the image. The method can further include generating, using the first machine learning model, a prompt for a second machine learning model based at least in part on the characteristic and the background. The method can further include generating, using the second machine learning model, the image based at least in part on the prompt, the image associated with the theme and showing the item and the background.
Systems and methods are provided supervised machine learning for matching addresses and buildings. Particularly, a machine learning model may be provided that is trained to identify a building outline within a map that is most likely associated with a given delivery address. A candidate set of buildings that may potentially be associated with the delivery address are determined and provided to the machine learning model. The machine learning model ranks the buildings included in the candidate set of buildings in terms of likelihood of being associated with the address. Based on this ranking, a building outline representing a building that is determined to be the most likely building associated with the address may be updated to include the address label on the map.
Described herein is a system for improving dynamic object detection by including posture data. For example, the system may build an occupancy map representing objects present in an environment while tracking dynamic objects that should not be included in the occupancy map (e.g., people, pets, or other mobile objects). The system may classify a user as a dynamic object based on a posture indicated by Visual Perception (VP) data. For example, the VP data may distinguish between first postures (e.g., standing, walking, etc.) and second postures (e.g., sitting, laying down, etc.). Thus, the system can classify users associated with the first postures as dynamic objects to be removed from the occupancy map, while including users associated with the second postures in the occupancy map. Thus, the device removes humans from the occupancy map without removing furniture.
09 - Appareils et instruments scientifiques et électriques
11 - Appareils de contrôle de l'environnement
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Providing virtual private network (vpn) services for others; electronic communication services; transmission of data files; transmission of data through a global communications network; communications services; broadcasting services; video communication services; video telephone services; data communication services; data streaming; providing voice communication services over the internet; consultancy and advisory services relating to the aforesaid services; providing access and connections to global computer networks via telecommunications; providing access to the internet; delivery, reception and transmission of data by electronic transmission; data and electronic media transmission services via on-line global and local computer networks; mobile telecommunication network services; rental of telecommunication and wi-fi equipment; provision of information, advice and assistance relating to all the aforementioned services; computer services, namely, providing access for the remote management of home devices, via computer networks, wireless networks or the internet. Internet of things (iot), home automation, and home connectivity hardware, downloadable and recorded software, devices, sensors, hubs, routers, peripherals, and accessories; intelligent personal assistant devices; home computer network hubs, bridges, routers, sensors, adapters, extenders, expanders, switches, cables, and wireless access point (wap) devices; modems; ethernet adapters, raid (redundant array of independent disks) controllers; combination receiver and player for home reception, display and playing of video, still images, photographs, graphics, audio, and text from a global computer network, a local area network, a wireless communications network, a digital camera, or from a digital storage device; computer networking hardware and downloadable and recorded software; computer hardware, computer downloadable and recorded software, devices, and apparatus for home security, monitoring, surveillance, control, connectivity, and automation; computer hardware, cameras, speakers, and downloadable and recorded computer software for use to connect and control internet of things (iot) enabled, home automation, and home connectivity devices; computer hardware and downloadable and recorded software for home computer network hubs, routers, sensors, adapters, extenders, range expanders, switches, cables, wireless access point (wap) devices; vpn (virtual private network) hardware and downloadable and recorded software; software development kits (sdk) in the nature of downloadable software development tools and downloadable software for use as an application programming interface (api) for creating software and applications related to internet connected consumer electronic devices; software development kits (sdk) comprising of downloadable software development tools and downloadable software for use as an application programming interface (api) for creating software and applications related to theft-prevention and security systems and surveillance systems; software development kits (sdks) consisting of computer software for the development, use, and interoperability of apis that are used by electronic devices, systems, and interchanges that exchange data via communications networks and the internet and that connect with cloud-based data storage and exchange services; computer software development tools; downloadable and recorded computer navigation software for use with smart, autonomous vehicles and mobile machines for enabling these machines to connect with internet of things (iot) enabled devices; downloadable and recorded computer software for use in monitoring position and range of smart, autonomous vehicles and mobile machines; downloadable and recorded computer software for connecting autonomous vehicles with internet of things (iot) enabled devices; electronic systems, equipment and instruments, namely, recorded behavior engine software, recorded positioning engine software, positioning sensors and recorded dynamic intelligent software and sensors for use in connection with internet of things (iot) enabled devices; computer hardware, namely, smart-home hubs for the connection of multiple smart-home devices to a network; downloadable and recorded computer telecommunications software for making voice over internet protocol transmissions and in the transmission of sound, images, video, and data; downloadable and recorded computer software for remotely restricting access to computers and mobile phones; electronic doorbells; electronic locks; motion sensors; theft, anti-intrusion, security, and alarm monitoring systems and cameras; speakers; video monitors; wireless controllers for remote monitoring and controlling the function of other home automation devices; smart home streaming devices and apparatus; baby monitors; pet monitors and viewing units in the nature of a remote video monitoring system consisting primarily of a camera and video monitor for recording and transmitting images to a remote location; electronic video surveillance product; fire, smoke, and carbon monoxide alarms; chipsets; development boards; security robots; wearable activity trackers; wearable cameras; wearable computers in the nature of smartwatches; wearable computers in the nature of smart glasses; wearable video display monitors; communications headsets and radios; intercom systems. Indoor and outdoor lighting fixtures and systems; light fittings; apparatus for lighting, heating, steam generating, cooking, refrigerating, drying, ventilating, water supply and sanitary purposes; floodlights, spotlights, wall lights; light bulbs; wall lights; LED light bulbs; Motion sensitive security lights; power outage backup lighting systems; lanterns for lighting; led (light emitting diode) modules, power supplies and wiring; lighting installations; electric night lights; LED lighting fixtures for indoor and outdoor lighting applications; lights for illuminating stairs, doors and other portions of buildings; portable battery-operated lights that can be placed on surfaces where other light sources are unavailable; portable utility lights; solar light fixtures, namely, indoor and outdoor solar powered lighting units and fixtures; spot lights. Platform as a service (paas) featuring computer software platforms for use with home and environmental monitoring, control, and automation systems; software as a service (saas) services featuring computer software for use with home and environmental monitoring, control, and automation systems; application service provider featuring application programming interface (api) software for home and environmental monitoring, control, and automation; platform as a service (paas) featuring computer software for use to connect and control internet of things (iot) electronic devices; software as a service (saas) featuring computer software for connecting, operating, integrating, controlling, and managing networked consumer electronic devices; application service provider (asp) services featuring software for controlling, integrating, operating, connecting, and managing voice controlled information devices, namely, cloud-connected and voice-controlled smart consumer electronic devices; providing temporary use of online non-downloadable security and anti-theft software applications; providing temporary use of online non-downloadable software applications permitting users to identify and communicate with persons at their door; providing temporary use of online non-downloadable voice command software applications; computer services, namely, providing an internet portal enabling users to remotely interact with home and environmental monitoring, control, and automation systems; platform as a service (paas) featuring computer software platforms for use with home wired and wireless networking, wifi, home computing, and home computer networks; software as a service (saas) services featuring computer software for use with home wired and wireless networking, wifi, home computing, and home computer networks; application service provider featuring application programming interface (api) software for home wired and wireless networking, wifi, home computing, and home computer networks; design and development of computer hardware and software, not in the field of urbanism; hosting a website for the electronic storage of data; monitoring of computer and security systems by remote access; installation, maintenance and repair of computer software; cloud recording and storage services; electronic storage of electronic data; providing an online non-downloadable internet-based application featuring technology enabling users to share videos; providing an on-line network environment that features technology that enables users to share data not in the field of urbanism; providing temporary use of online non-downloadable software for recording, viewing, storing, sharing, and analyzing data; information technology support services; provision of technical support; consultancy, design, testing, research, technical support and information in the field of wireless networking, wifi, computing, computer networks, computer software, the internet and the world wide web, not in the field of urbanism; technical consultation and technical support services in the field of data communications, computer networking, communications, telecommunications, computer software and the internet, not in the field of urbanism; hosting computer software applications for use by others; security services relating to routers, wireless network extenders and wireless access point (wap) devices; protection of computer networks and computer systems against attacks from computer viruses, hackers, tampering, unauthorized intrusion and unauthorized manipulation of data; online data storage services; information, consultancy and advisory services relating to all the aforesaid services including such services provided on-line or via the internet or extranets; software development kits (sdk) in the nature of software development tools for use as an application programming interface (api) for creating software and applications related to internet connected consumer electronic devices; software development kits (sdk) comprising of software development tools for use as an application programming interface (api) for creating software and applications related to theft-prevention and security systems and surveillance systems; software development kits (sdks) consisting of software development tools for the development, use, and interoperability of apis that are used by electronic devices, systems, and interchanges that exchange data via communications networks and the internet and that connect with cloud-based data storage and exchange services.
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable computer software using artificial intelligence (AI) for creating and managing AI agents for business insights, deep research, and automation; downloadable computer software using artificial intelligence (AI) for intelligent agents for generating comprehensive reports by conducting thorough research across enterprise and external sources; downloadable computer software using artificial intelligence (AI) for analyzing data through interactive dashboards, creating visualizations, exploring metrics, and creating automated explanations of structured and unstructured business data; downloadable computer software using artificial intelligence (AI) for automating workflows using natural language prompts; downloadable computer software using artificial intelligence (AI) for creating personalized team workspaces and customized data sets; downloadable computer software using artificial intelligence (AI) for intelligent chat agents and chatbots; downloadable computer software using artificial intelligence (AI) for interacting with third-party applications through natural language Providing on-line non-downloadable software using artificial intelligence (AI) for creating and managing AI agents for business insights, deep research, and automation; providing on-line non-downloadable software using artificial intelligence (AI) for intelligent agents for generating comprehensive reports by conducting thorough research across enterprise and external sources; providing on-line non-downloadable software using artificial intelligence (AI) for analyzing data through interactive dashboards, creating visualizations, exploring metrics, and creating automated explanations of structured and unstructured business data; providing on-line non-downloadable software using artificial intelligence (AI) for automating workflows using natural language prompts; providing on-line non-downloadable software using artificial intelligence (AI) for creating personalized team workspaces and customized data sets; providing on-line non-downloadable software using artificial intelligence (AI) for intelligent chat agents and chatbots; providing on-line non-downloadable software using artificial intelligence (AI) for interacting with third-party applications through natural language
39.
PARTITIONING CODE BASES FOR PARALLEL EXECUTION OF CODE ANALYSIS
A partitioning technique is applied to divide input code into different portions. Different partitioning techniques can be applied in order to optimize the portioning of the code to account for various features of the code, such as code dependencies. Once partitioned, the code analysis tasks execute in parallel on the code portions. In this way, improved code analysis performance is obtained. Moreover, the addition of new code analysis tasks may not impact overall analysis performance as the partitioning can help to offset added or unknown analysis latency of new code analysis tasks.
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable computer software using artificial intelligence (AI) and large language models (LLMs) for integrated development software; downloadable computer software using artificial intelligence (AI) and large language models (LLMs) for use in an integrated development environment (IDE); downloadable computer software using artificial intelligence (AI) and large language models (LLMs) for software development tools for use in connection with automating test-driven development (TDD), code reviews, and documentation generation; downloadable computer software using artificial intelligence (AI) and large language models (LLMs) for software development productivity tools. Providing on-line non-downloadable software using artificial intelligence (AI) and large language models (LLMs) for integrated development software; providing on-line non-downloadable software using artificial intelligence (AI) and large language models (LLMs) for use in an integrated development environment (IDE); providing on-line non-downloadable software using artificial intelligence (AI) and large language models (LLMs) for software development tools for use in connection with automating test-driven development (TDD), code reviews, and documentation generation; providing on-line non-downloadable software using artificial intelligence (AI) and large language models (LLMs) for software development productivity tools.
09 - Appareils et instruments scientifiques et électriques
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
Pre-recorded downloadable audio recordings featuring dramatic entertainment programs; pre-recorded video recordings featuring dramatic entertainment programs; pre-recorded downloadable audio and visual recordings featuring dramatic entertainment programs; pre-recorded audio and visual recordings in optical discs, DVD and CD format featuring dramatic 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 drama; entertainment services, namely, an ongoing television program in the field of drama provided through television, cable, the Internet and wireless communications networks; providing online non-downloadable comic books and graphic novels; providing blogs and non-downloadable publications in the nature of books, graphic novels, comics and screenplays in the field of entertainment, via a website; providing 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, via a website; 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 non-downloadable videos in the field of movies, television shows, and film trailers on a variety of topics, via a website; 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.
42.
Coordinating presence detection and proximity sensing using ultrasonic signals
Techniques for user devices to coordinate the emission of ultrasonic signals on behalf of different ultrasonic applications running on the user devices. User devices may have an ultrasonic front end that provides various ultrasonic applications, such as presence detection and proximity sensing, sleep monitoring, temperature and humidity sensing, and heartbeat monitoring. To perform the different functions, the ultrasonic applications use active sensing, or the transmission of ultrasonic signals to collect data about the environments around the user devices. However, the ultrasonic applications often use specific ultrasonic signals having different waveforms in order to collect the data used for their specific functionality. The ultrasonic front end may perform techniques to coordinate mutually exclusive emissions of the ultrasonic signals on behalf of the different ultrasonic applications based on various considerations, such as application priorities, operating schedules of the applications, and applications that can use the same waveform to collect data.
Multi-threaded data movement request handling techniques are disclosed. The techniques can include performing, by a direct memory access (DMA) engine, one or more data movement operations associated with a data movement phase of a first data movement task, initiating a data movement phase of a second data movement task during a wait period for the sync phase of the first data movement task, initiating the sync phase of the first data movement task following expiration of the wait period for the sync phase of the first data movement task, and performing a sync operation associated with the sync phase of the first data movement task.
G06F 13/28 - Gestion de demandes d'interconnexion ou de transfert pour l'accès au bus d'entrée/sortie utilisant le transfert par rafale, p. ex. acces direct à la mémoire, vol de cycle
G06F 9/30 - Dispositions pour exécuter des instructions machines, p. ex. décodage d'instructions
G06F 9/52 - Synchronisation de programmesExclusion mutuelle, p. ex. au moyen de sémaphores
G06F 13/16 - Gestion de demandes d'interconnexion ou de transfert pour l'accès au bus de mémoire
Pages describing episodes of podcasts or other media entities are constructed by interpreting content of the media entities. A transcript of an episode is determined by one or more natural language understanding techniques and divided into chapters. For each of the chapters, a summary sentence of the chapter and one or more key phrases are determined from the transcript, and participants in the chapter are identified. A summary of the episode is determined from the summary sentences of each of the chapters. A page that describes the episode of the podcast including the summary of the episode, as well as one or more of the key phrases and identities of the participants is generated and provided to prospective listeners to the episode.
G06F 16/683 - Recherche de données caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu
G06F 16/68 - Recherche de données caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
G06F 40/284 - Analyse lexicale, p. ex. segmentation en unités ou cooccurrence
Devices and techniques are generally described for security threat mitigation for generative machine learning models. In some examples, first request data including a first request may be received. First prompt data may be generated based at least in part on the first request data. First plan data may be generated, the first plan data including a first API call to a first API of a first computer-implemented service. The first API call may be executed and first result data may be received in response to the first API call. A determination may be made that the first result data includes a first impermissible instruction to inject data into a subsequent prompt. First output data may be generated indicating that the first request cannot be completed.
G06F 21/54 - Contrôle des utilisateurs, des programmes ou des dispositifs de préservation de l’intégrité des plates-formes, p. ex. des processeurs, des micrologiciels ou des systèmes d’exploitation au stade de l’exécution du programme, p. ex. intégrité de la pile, débordement de tampon ou prévention d'effacement involontaire de données par ajout de routines ou d’objets de sécurité aux programmes
Some speech processing systems may handle some commands on-device rather than sending the audio data to a second device or system for processing. The first device may have basic speech processing capabilities sufficient for handling basic language and/or commands, while the second device (e.g., an edge device and/or a remote system) may call on additional language models, entity libraries, skill components, etc. to perform additional tasks. An intermediate data generator may facilitate dividing speech processing operations between devices by generating a stream of data that includes a first-pass ASR output (e.g., a word or sub-word lattice) and other characteristics of the audio data such as whisper detection, speaker identification, media signatures, etc. The second device can perform the additional processing using the data stream; e.g., without using the audio data. Thus, privacy may be enhanced by processing the audio data locally without sending it to other devices/systems.
A multi-pin power connector for a solar accessory is described. In some examples, the power connector has three pins that can be used for identifying a proper solar accessory for an electronic device. In one particular example, a power connector apparatus includes a connector head that is configured to supply power from a solar device to an electronic device. The connector head includes a first electrical connector that is positioned on a first side of the connector head, a second electrical connector that is positioned on a second side of the connector head, and a third electrical connector that is offset from the first electrical connector and the second electrical connector.
H02S 40/34 - Composants électriques comprenant une connexion électrique structurellement associée au module PV, p. ex. boîtes de jonction
H01R 13/207 - Broches, lames ou alvéoles conformés ou ayant une pièce séparée en vue de retenir ensemble les parties en fonctionnement par connexion vissée
At least part of a visual pattern may be detected, in an image of a video, at a location within the image. An occlusion determination may be performed corresponding to the at least part of the visual pattern. At least part of a virtual asset may be inserted, based at least in part on the occlusion determination, into the image at the location. An appearance of the at least part of the virtual asset within the image may be adjusted based at least in part on an appearance of the at least part of the visual pattern within the image.
H04N 21/44 - Traitement de flux élémentaires vidéo, p. ex. raccordement d'un clip vidéo récupéré d'un stockage local avec un flux vidéo en entrée ou rendu de scènes selon des graphes de scène du flux vidéo codé
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
(1) Downloadable computer software using artificial intelligence (AI) and large language models (LLMs) for integrated development software; downloadable computer software using artificial intelligence (AI) and large language models (LLMs) for use in an integrated development environment (IDE); downloadable computer software using artificial intelligence (AI) and large language models (LLMs) for software development tools for use in connection with automating test-driven development (TDD), code reviews, and documentation generation; downloadable computer software using artificial intelligence (AI) and large language models (LLMs) for software development productivity tools (1) Providing on-line non-downloadable software using artificial intelligence (AI) and large language models (LLMs) for integrated development software; providing on-line non-downloadable software using artificial intelligence (AI) and large language models (LLMs) for use in an integrated development environment (IDE); providing on-line non-downloadable software using artificial intelligence (AI) and large language models (LLMs) for software development tools for use in connection with automating test-driven development (TDD), code reviews, and documentation generation; providing on-line non-downloadable software using artificial intelligence (AI) and large language models (LLMs) for software development productivity tools
51.
Systems and methods for container shuttle calibration
Systems and methods are disclosed for systems and methods for container shuttle calibration. An example method for calibration of a shuttle coupled to a permanent magnet may include positioning the shuttle on a calibration table, energizing an electromagnet coupled to the calibration table, and determining a detected edge of the permanent magnet. Some methods may include determining a first location to position a connector of the shuttle along an X-axis based at least in part on the detected edge and a mechanical template coupled to the calibration table, and securing the connector in the first location.
B65G 1/137 - Dispositifs d'emmagasinage mécaniques avec des aménagements ou des moyens de commande automatique pour choisir les objets qui doivent être enlevés
B65G 1/06 - Dispositifs d'emmagasinage mécaniques avec des moyens pour que les objets se présentent à l'enlèvement dans des positions ou à des niveaux prédéterminés
B65G 54/02 - Transporteurs non mécaniques, non prévus ailleurs électrostatiques, électriques ou magnétiques
G06Q 10/087 - Gestion d’inventaires ou de stocks, p. ex. exécution des commandes, approvisionnement ou régularisation par rapport aux commandes
H02K 11/215 - Dispositifs utilisant un effet magnétique, p. ex. des éléments à effet Hall ou magnéto-résistifs
H02K 41/03 - Moteurs synchronesMoteurs pas à pasMoteurs à réluctance
An object storage data store may be implemented using storage devices providing multiple extents, where individual ones of the extents include multiple independently addressable, contiguous blocks and where updating an extent is performed by updating the respective independently addressable, contiguous blocks sequentially using a series of write operations. The storage devices may include shingled magnetic recording devices and may include conventional persistent storage devices. The key value data store may implement a superblock structure, index structure, and data store structure using respective portions of the multiple extents, where updates to each of the structures is performed sequentially using a series of write operations. The key value data store may further implement a cache for the index structure to minimize input-output (IO) density of the object storage data store.
G06F 3/00 - Dispositions d'entrée pour le transfert de données destinées à être traitées sous une forme maniable par le calculateurDispositions de sortie pour le transfert de données de l'unité de traitement à l'unité de sortie, p. ex. dispositions d'interface
G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement
G06F 16/22 - IndexationStructures de données à cet effetStructures de stockage
53.
Distribution network using roadside resources and direct vehicle-to-vehicle communication
A vehicle artifact (e.g., software, firmware, content, etc.) distribution system uses direct vehicle-to-vehicle communications to extend a range of physical infrastructure and to improve speed and cost of distributing artifacts to vehicles. An artifact to be distributed is assigned a vehicle-to-vehicle distribution policy that defines gateway vehicle selection, wherein gateway vehicles are used to distribute the artifact to other recipient vehicles. A local software agent executing on the vehicles distributes the artifact in accordance with the vehicle-to-vehicle distribution policy using locally installed antennas of the vehicles.
H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p. ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
Systems and methods for implementing a right-sizing service that recommends and automatically implements resource sizing recommendations for compute clusters executing applications is disclosed. Performance metrics for compute nodes executing the application may be gathered and normalized, with anomalous nodes excluded. Then, respective time series data for the compute nodes may be temporally aligned to identify phases of execution of the application and resource sizes may be estimated for the various phases. A resource sizing recommendation may then be made based in part on this estimated resource sizes. The sizing recommendation may further integrate with other sizing recommendations and be used to manually or automatically size a compute cluster or selected among a number of pre-sized compute clusters, in various embodiments.
Techniques for priority-based masking policy selection in a database environment are described. Masking policies are defined and attached to columns of relational data for particular users or roles. The attachment of a masking policy to a column includes a user-specified priority value. When multiple policies could apply to a particular query, the conflict can be easily resolved and understood by use of the priority values, for example, by selecting a candidate policy having a highest priority value.
A training data set which includes event sequences representing actions of respective users of an application, properties of the users, and dynamic attributes associated with events such as the elapsed time between successive events, is prepared. A machine learning model which provides probabilistic predictions of next events of input event sequences is trained using the training data set. A trained version of the model is stored.
Systems and methods for device configuration usage optimization include identifying device configurations that are likely to result in device usage cessation within a predetermined period of time. When device usage cessation is determined to be likely, alternative device configurations are determined that are likely to increase the chances of device usage. One or more recommendations for the alternative device configurations may be sent to user devices, and when accepted, devices may be reconfigured, device functionalities may be enabled, and/or additional devices may be acquired.
Techniques for using a key management service to provide K of N threshold encryption and decryption in a provider network. The techniques encompass a K of N threshold encryption process and a K of N threshold decryption process. The encryption process can include encrypting a plaintext datum using a first key to produce a ciphertext datum. A secret sharing algorithm can be used to produce N plaintext shares of the first key. The N plaintext shares can be encrypted using N public keys of N asymmetric key pairs to produce N ciphertext shares. The decryption process can include recovering K plaintext shares from K of the N ciphertext shares. The K ciphertext shares can be recovered by the key management service decrypting the K ciphertext shares using K private keys of the N asymmetric key pairs to recover the K plaintext shares. The first key can be recovered from the K plaintext shares. The plaintext datum can be recovered by decrypting the ciphertext datum using the recovered first key.
H04L 9/06 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité l'appareil de chiffrement utilisant des registres à décalage ou des mémoires pour le codage par blocs, p. ex. système DES
H04L 9/14 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité utilisant plusieurs clés ou algorithmes
H04L 9/30 - Clé publique, c.-à-d. l'algorithme de chiffrement étant impossible à inverser par ordinateur et les clés de chiffrement des utilisateurs n'exigeant pas le secret
This disclosure describes, in part, techniques for provisioning components. For instance, a component may be initially provisioned by a first system. To initially provision the component, the component may receive first data representing a uniform device type, a device identifier, a serial number, and/or a first certificate chain. The component may then store the first data in memory. Additionally, the component may be provisioned using a second system. To provision the component, the component may receive second data representing a product device type, a code, and a second certification chain. The second data received during the second provisioning may be associated with one more capabilities of a device. The component may then store the second data in the memory.
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
G06F 21/73 - Protection de composants spécifiques internes ou périphériques, où la protection d'un composant mène à la protection de tout le calculateur pour assurer la sécurité du calcul ou du traitement de l’information par création ou détermination de l’identification de la machine, p. ex. numéros de série
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
H04L 41/0806 - Réglages de configuration pour la configuration initiale ou l’approvisionnement, p. ex. prêt à l’emploi [plug-and-play]
H04L 9/00 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité
Systems and methods are provided for management of prefix allocation for a user network through distribution of prefixes to one or more virtual interfaces (VIFs) used to support communication of data between the user network and the network service provider. Management resource(s), which may be implemented by components of a network provider or routing resource(s), may be configured to receive the specified intended allocation of prefixes and verify that the intended allocation of prefixes meets at least one operational criterion based on utilization tracking data for prefix availability with respect to the user network. After verification, routing resources may advertise prefixes to a network service provider in accordance with the specified intended allocation of prefixes. The management resources may also update the utilization tracking data in the first data store to reflect allocation of the prefixes.
A synchronization system or module controls the transmission of voice or music (or other media) during a media program, consistent with a state of the media program. When a media program is in a voice state, a creator of a media program may speak or sing words that are captured and transmitted to devices of listeners. When the media program is in a media state, the creator may instruct or command that a media entity that has been pre-buffered on the devices of the listeners may be played to such listeners. A synchronization system or module that interprets instructions or commands of a creator or interprets interactions of a creator of the media program may likewise instruct or command devices of the listeners to play voice or media, in a synchronized manner.
H04N 21/8547 - Création de contenu impliquant des marquages temporels pour synchroniser le contenu
H04N 21/242 - Procédés de synchronisation, p. ex. traitement de références d'horloge de programme [PCR]
H04N 21/43 - Traitement de contenu ou données additionnelles, p. ex. démultiplexage de données additionnelles d'un flux vidéo numériqueOpérations élémentaires de client, p. ex. surveillance du réseau domestique ou synchronisation de l'horloge du décodeurIntergiciel de client
H04N 21/435 - Traitement de données additionnelles, p. ex. décryptage de données additionnelles ou reconstruction de logiciel à partir de modules extraits du flux de transport
Systems and methods for providing efficient determination of coefficients used for vector arithmetic when generating a new foundational model according to a user's desired modification of a base foundational model. The system evaluates metrics of a new model's performance, including computing perplexity for different coefficients of the new model in parallel.
An application streaming service may receive, from a customer, one or more requests to link a plurality of different applications to a host computing instance group for hosting execution of the plurality of different applications. The application streaming service may allow a customer to receive one or more video streams from one or more of the plurality of applications via a customer interface. The application streaming service may allow any of the plurality of different applications to be loaded onto any host computing instance in the host computing instance group at any time that there is sufficient on-host size availability. The application streaming service may place users onto application instances based on a set of user placement priorities. The application streaming service may transmit video streams captured from one or more application instances of one or more of the plurality of different applications to one or more users.
A63F 13/355 - Réalisation d’opérations pour le compte de clients ayant des capacités de traitement restreintes, p. ex. serveurs transformant une scène de jeu qui évolue en flux vidéo codé à transmettre à un téléphone portable ou à un client léger
H04N 21/239 - Interfaçage de la voie montante du réseau de transmission, p. ex. établissement de priorité des requêtes de clients
H04N 21/258 - Gestion de données liées aux clients ou aux utilisateurs finaux, p. ex. gestion des capacités des clients, préférences ou données démographiques des utilisateurs, traitement des multiples préférences des utilisateurs finaux pour générer des données collaboratives
65.
USER PLACEMENT FOR MULTI-APPLICATION HOST COMPUTING INSTANCE GROUPS
An application streaming service may receive, from a customer, one or more requests to link a plurality of different applications to a host computing instance group for hosting execution of the plurality of different applications. The application streaming service may allow a customer to receive one or more video streams from one or more of the plurality of applications via a customer interface. The application streaming service may allow any of the plurality of different applications to be loaded onto any host computing instance in the host computing instance group at any time that there is sufficient on-host size availability. The application streaming service may place users onto application instances based on a set of user placement priorities. The application streaming service may transmit video streams captured from one or more application instances of one or more of the plurality of different applications to one or more users.
Systems and methods for a prompt generation and analysis service for generating and identifying a preferred prompt for performing a function of a large language model (LLM) are provided. The prompt generation and analysis service may generate a set of training prompts for performing a function of an LLM. The prompt generation and analysis service may then query the LLM with the generated set of prompts and characterize the output of the LLM for each prompt. Using the characterization of the output and corresponding prompt, the prompt generation and analysis service can train a classifier model to classify the prompts. The prompt generation and analysis service may generate a set of target prompts for performing a function of an LLM, characterize the target prompts using the training classifier model, and identify a preferred prompt for performing the function based on the classifier model's classification.
G06N 3/0895 - Apprentissage faiblement supervisé, p. ex. apprentissage semi-supervisé ou auto-supervisé
G06F 18/2415 - Techniques de classification relatives au modèle de classification, p. ex. approches paramétriques ou non paramétriques basées sur des modèles paramétriques ou probabilistes, p. ex. basées sur un rapport de vraisemblance ou un taux de faux positifs par rapport à un taux de faux négatifs
A system may receive a request to generate a solution plan. The system may obtain user information, and/or environment information based in part on the request. The system may determine, based at least in part on the user information, a persona corresponding the user. The system may generate, based at least in part on the request, the user information, the environment information, and/or the persona, a solution generation prompt configured to cause a machine learning model to generate a personalized solution plan. The system may generate the personalized solution plan based on applying the solution generation prompt as input to the machine learning model.
Technologies directed to antennas as sensors for touch and hover events are described. A wireless device can include a processing device with classification logic and a detection circuit located in a radio frequency (RF) path between a radio and an SPMT antenna. The wireless device can sample the analog voltage signal at a plurality of frequencies over a period of time to obtain digital data. The classification logic uses the digital data to classify one or more touch points caused by a presence of an object in proximity to the SPMT antenna over the period of time as a touch event or a gesture event. The processing device can perform an action in response to the touch event or gesture event.
H04B 1/00 - Détails des systèmes de transmission, non couverts par l'un des groupes Détails des systèmes de transmission non caractérisés par le milieu utilisé pour la transmission
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
A system can include a cooling plate configured for dissipating heat from a processor or other heat-generating component. The cooling plate can include a body defining a coolant chamber having a coolant inlet and a coolant outlet. An amount of ferrofluid within the coolant chamber can be arrangeable to at least partially define one or more guides for coolant flow within the coolant chamber between the coolant inlet and the coolant outlet. A magnetic field emitter can be positioned relative to the body so as to be operable to alter an arrangement of the ferrofluid within the coolant chamber to adjust a physical characteristic (such as size, shape, and/or location) of at least one of the one or more guides for coolant flow within the coolant chamber between the coolant inlet and the coolant outlet.
A virtual gateway for transmission of packets from a service provider virtual network to a service consumer virtual network of a user is established at a cloud computing environment. A limited-access endpoint is created in the service consumer virtual network, with security settings provided by the user which enable transmission of packets from a service implemented at the service provider virtual network to resources within the service consumer virtual network. A packet directed to a resource in the service consumer virtual network is received at the gateway from the service. If the security settings permit delivery of packets via the endpoint to the resource, the packet is transmitted to the resource.
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
Systems and methods are described for creating a serverless network interface for serverless functionalities. The present disclosure provides for creation of user-defined serverless network interfaces that facilitate creation, modification, and re-use of network configurations across one or more serverless functionalities via network interfaces associated with each function.
Technologies directed to providing a wireless chipset with integrated radar for presence detection and localization are described. A first wireless device uses a transmit (TX) chain to send data to a second wireless device. The first wireless device generates a chirp signal and uses the TX chain to send the chirp signal. A receive (RX) chain of the first wireless device receives reflected signals corresponding to the chirp signal. The first wireless device determines digital values using the reflected signals and the chirp signal. The first wireless device determines that an environment in which the first wireless device is located has been disrupted by an object using the digital values.
G01S 13/34 - Systèmes pour mesurer la distance uniquement utilisant la transmission d'ondes continues, soit modulées en amplitude, en fréquence ou en phase, soit non modulées utilisant la transmission d'ondes continues modulées en fréquence, tout en faisant un hétérodynage du signal reçu, ou d’un signal dérivé, avec un signal généré localement, associé au signal transmis simultanément
73.
EFFICIENT VOICE SYNTHESIS USING FRAME-BASED PROCESSING
Efficient voice synthesis using frame-based processing may be performed. An audio processing system converts an input speech waveform to an acoustic feature representation, which includes a sequence of frames at a lower resolution than the sampling resolution of the input waveform. The system propagates the acoustic feature representation through GRUs and fully-connected layers, while maintaining the lower resolution. At the end, the system performs a flattening operation on the frames of the final acoustic feature representation to generate an output waveform at a target sampling resolution.
Systems and methods are provided for use of use of fuzzy-match-based translation suggestions to augment machine translation of input sentences or other texts. A machine translation system may use a model trained to translate a source language input to a target language output based on pseudo-randomly selected translation suggestions in the target language, while at inference time the machine translation system may use translation selections associated with source language samples that have a high degree of similarity to the source language input to be translated. To efficiently use the translation suggestions, they may be encoded in context with the source language input to be translated, and the machine translation system may use the encoded translation suggestions with to generate a translation in the target language.
G06F 40/58 - Utilisation de traduction automatisée, p. ex. pour recherches multilingues, pour fournir aux dispositifs clients une traduction effectuée par le serveur ou pour la traduction en temps réel
Systems and methods for automatically taring mobile produce scales include receiving sensor data indicating a weight change event associated with a weight sensor, and generating a tare request. In response to the tare request, a difference in weight data associated with the weight sensor before and after the weight change event may be determined. Stability data associated with the weight sensor may also be used to determine whether to automatically tare the weight sensor. If the difference between the weight data is within a threshold associated with the weight change event, the weight sensor may be automatically tared. If the difference between the weight data exceeds the threshold associated with the weight change event, the weight sensor will not be automatically tared. The weight sensor may then be re-tared manually.
G01G 19/414 - Appareils ou méthodes de pesée adaptés à des fins particulières non prévues dans les groupes avec dispositions pour indiquer, enregistrer ou calculer un prix ou d'autres quantités dépendant du poids utilisant des moyens de calcul électromécaniques ou électroniques utilisant uniquement des moyens de calcul électroniques
76.
QUERY EVALUATION FOR IMAGE RETRIEVAL AND CONDITIONAL IMAGE GENERATION
Techniques are generally described for query evaluation for image retrieval and image generation. In various examples, a first encoded representation of first natural language input data may be generated. An image retrieval process may be selected from among the image retrieval process and an image generation process based at least in part on the first encoded representation of the first natural language input data. A second natural language encoder may generate a second encoded representation of the first natural language input data. The second encoded representation may be used to determine first image data stored in a first data repository. The first image data may be sent for output on a display of a first computing device.
DF D D D/FD/FDF.F. A first text input may be determined. The first LM may be updated based at least in part on a first prediction difference between predictions the first LM and the second auxiliary LM for a first set of inputs and a second prediction difference between the predictions of the first LM and the first auxiliary LM for the first set of inputs.
Techniques for notifying virtualization guests of upcoming host software updates are described. An instance is executed in a host environment of a computer system, the host environment providing a virtualized environment for the instance to execute a software application. A host software application update for a host software application executed in the host environment is received, the host software application update to be applied at an update time. An upcoming host software update notification is provided to the software application executed in the virtualized environment, the upcoming host software update notification indicating the update time. The host software application is updated at or after the update time.
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
A system may receive a request to generate a solution plan. The system may obtain user information, and/or environment information based in part on the request. The system may determine, based at least in part on the user information, a persona corresponding the user. The system may generate, based at least in part on the request, the user information, the environment information, and/or the persona, a solution generation prompt configured to cause a machine learning model to generate a personalized solution plan. The system may generate the personalized solution plan based on applying the solution generation prompt as input to the machine learning model.
G06Q 30/016 - Fourniture d’une assistance aux clients, p. ex. pour assister un client dans un lieu commercial ou par un service d’assistance après-vente
80.
MULTI-APPLICATION HOST COMPUTING INSTANCE GROUP FOR APPLICATION STREAMING
An application streaming service may receive, from a customer, one or more requests to link a plurality of different applications to a host computing instance group for hosting execution of the plurality' of different applications. The application streaming service may allow a customer to receive one or more video streams from one or more of the plurality of applications via a customer interface. The application streaming service may allow any of the plurality of different applications to be loaded onto any host computing instance in the host computing instance group at any time that there is sufficient on-host size availability. The application streaming service may place users onto application instances based on a set of user placement priorities. The application streaming service may transmit video streams captured from one or more application instances of one or more of the plurality of different applications to one or more users.
A63F 13/355 - Réalisation d’opérations pour le compte de clients ayant des capacités de traitement restreintes, p. ex. serveurs transformant une scène de jeu qui évolue en flux vidéo codé à transmettre à un téléphone portable ou à un client léger
A63F 13/48 - Démarrage d’un jeu, p. ex. activation du dispositif de jeu ou attente que d’autres joueurs se joignent à une session multi-joueurs
A63F 13/70 - Aspects de sécurité ou de gestion du jeu
H04L 65/612 - Diffusion en flux de paquets multimédias pour la prise en charge des services de diffusion par flux unidirectionnel, p. ex. radio sur Internet pour monodiffusion [unicast]
Systems and methods are described for creating a serverless network interface for serverless functionalities. The present disclosure provides for creation of user-defined serverless network interfaces that facilitate creation, modification, and re-use of network configurations across one or more serverless functionalities via network interfaces associated with each function.
Technologies directed to providing a wireless chipset with integrated radar for presence detection and localization are described. A first wireless device uses a transmit (TX) chain to send data to a second wireless device. The first wireless device generates a chirp signal and uses the TX chain to send the chirp signal. A receive (RX) chain of the first wireless device receives reflected signals corresponding to the chirp signal. The first wireless device determines digital values using the reflected signals and the chirp signal. The first wireless device determines that an environment in which the first wireless device is located has been disrupted by an object using the digital values.
G01S 7/00 - Détails des systèmes correspondant aux groupes , ,
G01S 13/536 - Discrimination entre objets fixes et mobiles ou entre objets se déplaçant à différentes vitesses utilisant la transmission d'ondes continues non modulées, ou modulées en amplitude, en fréquence ou en phase
G01S 13/56 - Discrimination entre objets fixes et mobiles ou entre objets se déplaçant à différentes vitesses pour la détection de présence
G01S 13/58 - Systèmes de détermination de la vitesse ou de la trajectoireSystèmes de détermination du sens d'un mouvement
Devices and techniques are generally described for unlearning information from large language models (LLMs). In various examples, a first language model (LM) trained on a first training corpus D may be determined. First data F that is a subset of D may be determined. A first auxiliary LM may be trained using the first training corpus D and a second auxiliary LM may be trained using a second training corpus D/F, where the second training corpus D/F represents the first training corpus D without the first data F. A first text input may be determined. The first LM may be updated based at least in part on a first prediction difference between predictions the first LM and the second auxiliary LM for a first set of inputs and a second prediction difference between the predictions of the first LM and the first auxiliary LM for the first set of inputs.
An application streaming service may receive, from a customer, one or more requests to link a plurality of different applications to a host computing instance group for hosting execution of the plurality of different applications. The application streaming service may allow a customer to receive one or more video streams from one or more of the plurality of applications via a customer interface. The application streaming service may allow any of the plurality of different applications to be loaded onto any host computing instance in the host computing instance group at any time that there is sufficient on-host size availability. The application streaming service may place users onto application instances based on a set of user placement priorities. The application streaming service may transmit video streams captured from one or more application instances of one or more of the plurality of different applications to one or more users.
A63F 13/52 - Commande des signaux de sortie en fonction de la progression du jeu incluant des aspects de la scène de jeu affichée
A63F 13/77 - Aspects de sécurité ou de gestion du jeu incluant les données relatives aux dispositifs ou aux serveurs de jeu, p. ex. données de configuration, version du logiciel ou quantité de mémoire
85.
AUTOMATIC SELECTION OF COMPRESSION ARTIFACT REMOVAL MODELS
Systems and techniques are generally described for selecting a machine learning model for compression artifact removal and resolution upscaling of video streaming data. In various examples, a system or method receives a stream of video data, determines a category of the stream of video data based at least partially upon a compression level of the stream of video data, selects weights for a machine learning model based upon the category, and executes the machine learning model with the selected weights to remove compression artifacts in the stream of video data and upscale a resolution of the stream of video data.
Techniques for notifying virtualization guests of upcoming host software updates are described. An instance is executed in a host environment of a computer system, the host environment providing a virtualized environment for the instance to execute a software application. A host software application update for a host software application executed in the host environment is received, the host software application update to be applied at an update time. An upcoming host software update notification is provided to the software application executed in the virtualized environment, the upcoming host software update notification indicating the update time. The host software application is updated at or after the update time.
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
Edge functions at an edge location of a content delivery network (CDN) may use APIs of a datastore engine in order to read/write or create/delete local tables at the edge location. Data may be accumulated in the local tables and the new data may be used to enhance decision at the edge. Some of the local tables may be initially populated from a back-end database. This allows the functions to modify the data from the back-end database, without affecting the actual source data at the back-end database (modifications to local tables remain local to the edge location).
Techniques for routing a user command to a speechlet and resolving conflicts between potential speechlets are described. A system determines an intent of an input command. The system also receives context information associated with the input command. The system determines speechlets (e.g., speechlets and/or skills) that may execute with respect to the input command given the intent and the context data. The system then determines whether conditions of routing rules, associated with the speechlets, are satisfied given the context data. If the conditions of only one routing rule are satisfied, the system causes the speechlet associated with the routing rule to execute with respect to the input command. If the conditions of more than one routing rule are satisfied, the system may determine a speechlet to execute with respect to the input command based on the speechlets' priorities in a list of speechlets and/or based on potential output data provided by the speechlets.
A public certificate authority (CA) manages versioned sets of a collection of individual policies that serve as a basis for how a certificate issuance workflow processes certificate requests, and tracks the particular set of policies applied by the issuance workflow process to produce a particular certificate. For example, the public CA responds to a certificate request by identifying a current policy collection version, and performing a certificate issuance workflow in accordance with the set of individual policy versions specified by the current policy collection version. If the requested certificate is correctly produced, the public CA publishes the certificate and records, to a tracking data store, an identifier of the certificate and the policy collection version used in performance of the issuance workflow. The records may be used to respond to audit requests, matching certificates to the policy collection version used in performance of the issuance workflow for that certificate.
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
H04L 9/30 - Clé publique, c.-à-d. l'algorithme de chiffrement étant impossible à inverser par ordinateur et les clés de chiffrement des utilisateurs n'exigeant pas le secret
90.
MULTI-DEVICE ENROLLMENT FOR BIOMETRIC IDENTIFICATION SYSTEM
User enrollment to a biometric identification system begins on selected general input devices (GID) such as smartphones. The user may enter identification data (e.g. name) and use a red-green-blue (RGB) camera of the GID to acquire a first image (e.g. hand). The first image is processed using both a first model to determine a first representation and a second model to determine a second representation. Upon presentation of a hand at a biometric input device, a second image is acquired using a first modality and a third image is acquired using a second modality. The second image is processed using the first model to determine a third representation. The third image is processed using the second model to determine a fourth representation. Given a match between both the first and third representations, as well as the second and fourth representations, enrollment is completed by storing the third and fourth representations.
A virtual gateway for transmission of packets from a service provider virtual network to a service consumer virtual network of a user is established at a cloud computing environment. A limited-access endpoint is created in the service consumer virtual network, with security settings provided by the user which enable transmission of packets from a service implemented at the service provider virtual network to resources within the service consumer virtual network. A packet directed to a resource in the service consumer virtual network is received at the gateway from the service. If the security settings permit delivery of packets via the endpoint to the resource, the packet is transmitted to the resource.
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
Techniques disclosed integrate generative AI assistant plugins with a large language model (LLM) to enhance conversational interactions. The techniques include receiving a user's input and retrieving relevant text passages based on a query derived from this input. A complex LLM prompt is generated, including these passages, descriptions of candidate plugins, and the user's input. This prompt is sent to an LLM service, which selects the most suitable plugin for the user's needs. Following this, a query is sent to the chosen plugin, and its response is used to craft the agent's reply to the user. The techniques emphasize dynamic selection and integration of specialized plugins based on real-time user input, leveraging LLM capabilities to interpret and recommend the best plugin response. This approach ensures tailored, informed interactions by providing responses that are both relevant and enriched with specialized plugin knowledge or functionality.
Systems and methods for providing efficient determination of coefficients used for vector arithmetic when generating a new foundational model according to a user's desired modification of a base foundational model. The system evaluates metrics of a new model's performance, including computing perplexity for different coefficients of the new model in parallel.
Systems and methods for a prompt generation and analysis service for generating and identifying a preferred prompt for performing a function of a large language model (LLM) are provided. The prompt generation and analysis service may generate a set of training prompts for performing a function of an LLM. The prompt generation and analysis service may then query the LLM with the generated set of prompts and characterize the output of the LLM for each prompt. Using the characterization of the output and corresponding prompt, the prompt generation and analysis service can train a classifier model to classify the prompts. The prompt generation and analysis service may generate a set of target prompts for performing a function of an LLM, characterize the target prompts using the training classifier model, and identify a preferred prompt for performing the function based on the classifier model's classification.
A system can include a cooling plate configured for dissipating heat from a processor or other heat-generating component. The cooling plate can include a body defining a coolant chamber having a coolant inlet and a coolant outlet. An amount of ferrofluid within the coolant chamber can be arrangeable to at least partially define one or more guides for coolant flow within the coolant chamber between the coolant inlet and the coolant outlet. A magnetic field emitter can be positioned relative to the body so as to be operable to alter an arrangement of the ferrofluid within the coolant chamber to adjust a physical characteristic (such as size, shape, and/or location) of at least one of the one or more guides for coolant flow within the coolant chamber between the coolant inlet and the coolant outlet.
Technologies directed to antennas as sensors for touch and hover events are described. A wireless device can include a processing device with classification logic and a detection circuit located in a radio frequency (RF) path between a radio and an SPMT antenna. The wireless device can sample the analog voltage signal at a plurality of frequencies over a period of time to obtain digital data. The classification logic uses the digital data to classify one or more touch points caused by a presence of an object in proximity to the SPMT antenna over the period of time as a touch event or a gesture event. The processing device can perform an action in response to the touch event or gesture event.
45 - Services juridiques; services de sécurité; services personnels pour individus
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Electronic communication services, namely, transmission of information by electronic communications networks; electronic transmission of data, audio, video, and audio/video files via global computer network; electronic transmission of messages, voice, data, video, and images through a global computer network; video broadcasting services over the Internet or other communications network, namely, electronically transmitting video clips; video communication services being electronic transmission services; streaming of data; providing voice communication services via the Internet; subscription-based video-on-demand transmission of programs; wireless broadband communications services, namely, video broadcasting services; video telephone services; providing voice communication services over the Internet, namely, voice over internet protocol (VOIP) services Providing information about personal safety and crime prevention; providing a website featuring information about personal safety and crime prevention; providing information about public safety and crime prevention; providing a website featuring information about public safety and crime prevention; Home security monitoring services using sensors and detectors; monitoring of computer systems by remote access to detect physical home security breaches; monitoring of security camera systems by remote access to detect home security breaches; consulting services relating to electronic home security monitoring; electronic monitoring of security systems for residential and commercial properties Electronic devices and recorded and downloadable software for use to connect and control internet of things (IoT) devices; electronic devices for home monitoring, control, and automation; security surveillance apparatus; alarm monitoring systems; electronic devices and recorded and downloadable computer software that allow the sharing and transmission of data and information between devices for the purposes of facilitating home monitoring, control, and automation; electronic device in the nature of intercommunication apparatus; home automation control electronic devices; anti-intrusion and anti-theft warning apparatus and electronic devices; theft prevention electronic installations; security control electronic apparatus; photographic apparatus and instruments, namely, cameras, video cameras, and camera mounts; apparatus for recording, transmission or reproduction of sound or images; computer hardware and recorded and downloadable software for processing, reproducing, synchronizing, recording, organizing, downloading, uploading, transmitting, streaming, receiving, playing and viewing images, audio, video and data files; communication electronic devices for voice, data, or image transmission; voice and data transmitters and receivers; motion sensors, alarms, alarm sensors, alarm monitoring systems, sensors and detectors, and speakers; video monitors; security cameras; video cameras for monitoring the interior and exterior of residences, and wireless controllers to remote monitoring, control, and automation; video streaming devices, video recording, and video receiving devices; cameras; apparatus and devices providing night vision; alarm system and camera mounts and stands; camera mounts, supports, and tripods; Mounting devices for photographic equipment; environmental hazard detectors, namely, electronic devices that detect and record the presence of movement, motion, and sound; security lights; pet and baby monitors, pet viewing electronic device units; recorded and downloadable security software for home security monitoring; recorded and downloadable computer software and downloadable software applications for home security, surveillance, monitoring, control, and automation; recorded and downloadable software and recorded software applications permitting users to identify and communicate with persons at their door; electronic video surveillance products, namely, electronic components of security systems being replacement parts thereof; electronic systems, equipment and instruments, namely, positioning engine recorded and downloadable software, positioning sensors and dynamic intelligent recorded and downloadable software and sensors for use in connection with internet of things (IoT) enabled devices where the foregoing software allows for home and environmental monitoring, control, and automation; downloadable computer software for use in collecting, monitoring, storing, sharing, and transmitting data from networked safety sensors; power supplies and wiring; camera power adapters; mount adapters for cameras; parts, fittings and accessories for the aforesaid goods, namely, cases and supports adapted for cameras, and mounts for cameras Software as a service (SAAS) services featuring computer software for use to connect and control internet of things (Iot) electronic devices; software as a service (SAAS) services featuring computer software for use with home and environmental monitoring, control, and automation systems; software as a service (SaaS) featuring computer software for connecting, operating, integrating, controlling, and managing networked consumer electronic devices; software as a service (SAAS) featuring security and anti-theft software applications; providing temporary use of online non-downloadable software for recording, viewing, storing, sharing and analyzing online audio and video; providing temporary use of online non-downloadable software for the management and transmission of data; cloud recording and storage services; electronic storage of electronic media, namely, images, text, audio, and video data; providing an online nondownloadable internet-based application featuring technology enabling users to share videos; providing an on-line network environment that features technology that enables users to share data; providing temporary use of online non-downloadable software for recording, viewing, storing, sharing, and analyzing data
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Recorded and downloadable computer operating system software; recorded and downloadable operating system software and firmware for use with consumer electronic devices and consumer home security devices; computer middleware, namely, software that mediates between operating system software and application software; downloadable software development kits (SDKs) for creating applications for use with operating system software; recorded and downloadable computer programs and software applications for providing an integrated development environment for operating system software; downloadable computer software for managing communications and data exchange consumer electronic devices and consumer home security devices. Software as a service (SaaS) and platform as a service (PaaS) featuring non-downloadable computer operating system software; application service provider (ASP) featuring application programming interfaces (APIs), software development kits (SDKs), and utility programs for the design, development, testing, and deployment of software applications for use with operating system software; providing temporary use of non-downloadable computer software for an integrated development environment for operating system software; computer services, namely, remote hosting of operating system software and computer applications for others; technical support services, namely, troubleshooting of computer software problems relating to consumer electronic devices and consumer home security devices operating system software and developer tools.
09 - Appareils et instruments scientifiques et électriques
Produits et services
Semiconductors; microcomputers; microprocessors; applications processors, namely, general purpose microprocessors; semiconductors and microprocessors sold as a component of consumer electronic devices; semiconductors and microprocessors sold as a component of security devices, security alarms, and monitoring apparatus; semiconductors and microprocessors sold as a component of computer hardware and computer hardware networking devices.
