Amazon Technologies, Inc. patent applications on September 26th, 2024

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Patent Applications by Amazon Technologies, Inc. on September 26th, 2024

Amazon Technologies, Inc.: 5 patent applications

Amazon Technologies, Inc. has applied for patents in the areas of G10L15/08 (2), G06V10/75 (1), G06F18/22 (1), H04L67/10 (1), G10L13/08 (1) G06V10/75 (1), G10L13/08 (1), G10L15/08 (1), H04L61/3025 (1), H04W64/006 (1)

With keywords such as: data, namespace, component, input, user, encoding, response, determine, namespaces, and image in patent application abstracts.



Patent Applications by Amazon Technologies, Inc.

20240320951. DISTRIBUTED SYSTEM FOR EFFICIENT ENTITY RECOGNITION_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Aakash Deep of Redmond WA (US) for amazon technologies, inc., Jia Bi Zhang of Kirkland WA (US) for amazon technologies, inc., Jonathan Hedley of Mittagong (AU) for amazon technologies, inc.

IPC Code(s): G06V10/75, G06F18/22, H04L67/10

CPC Code(s): G06V10/75



Abstract: a first encoding representing a set of detected signals is obtained at a sensor-proximity resource of an object recognition application which also includes resources of an analytics service of a provider network. in response to a determination that a cache at the sensor-proximity resource does not include a second encoding which satisfies a similarity criterion with respect to the first encoding, at least a portion of a partition of a spatial index is obtained from another resource selected using an index partition map. a recognition-based action is initiated based on determining that the partition includes an encoding which satisfies the similarity criterion.


20240321261. VISUAL RESPONSES TO USER INPUTS_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Vasiliy Radostev of Seattle WA (US) for amazon technologies, inc., Ruhi Sarikaya of Redmond WA (US) for amazon technologies, inc., Rekha Seshadrinathan of Redmond WA (US) for amazon technologies, inc., Abhinav Sethy of Seattle WA (US) for amazon technologies, inc., Chetan Nagaraj Naik of Seattle WA (US) for amazon technologies, inc., Anjishnu Kumar of Seattle WA (US) for amazon technologies, inc.

IPC Code(s): G10L13/08, G10L15/06, G10L15/08, G10L15/183

CPC Code(s): G10L13/08



Abstract: techniques for generating a visual response to a user input are described. a system may receive input data corresponding to a user input, determining a first skill component is to determine a response to the user input, and determine a second skill component is to determine supplemental content related to the user input. the system may also determine a template for presenting a visual response to the user input, where the template is configured for presenting the response and the supplemental content. the system may receive, from the first skill component, first image data corresponding to the first response. the system may also receive, from the second skill component, second image data corresponding to the first supplemental content. the system may send, to a device including a display, a command to present the first image data and the second image data using the template.


20240321264. AUTOMATIC SPEECH RECOGNITION_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Jing Liu of Pittsburgh PA (US) for amazon technologies, inc., Feng-Ju Chang of Pittsburgh PA (US) for amazon technologies, inc., Athanasios Mouchtaris of Pittsburgh PA (US) for amazon technologies, inc., Martin Radfar of North York (CA) for amazon technologies, inc., Maurizio Omologo of Altopiano della Vigolana (IT) for amazon technologies, inc., Siegfried Kunzmann of Heidelberg (DE) for amazon technologies, inc.

IPC Code(s): G10L15/08, G10L15/00, G10L15/02

CPC Code(s): G10L15/08



Abstract: techniques for performing automatic speech recognition (asr) are described. in some embodiments, an asr component integrates contextual information from user profile data into audio encoding data to predict a token(s) corresponding to a spoken input. the user profile data may include personalized words, such as, contact names, device names, etc. the asr component determines word embedding data using the personalized words. the asr component is configured to apply attention to audio frames that are relevant to the personalized words based on processing the audio encoding data and the word embedding data.


20240323159. NETWORK NAMESPACE MONITORING SYSTEM_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Donald Lee Bailey, JR. of Rockingham VA (US) for amazon technologies, inc., Abigail Fuller of Seattle WA (US) for amazon technologies, inc., John Paul Torres of Shoreline WA (US) for amazon technologies, inc., Giulian Dalton Luz of Bellevue WA (US) for amazon technologies, inc.

IPC Code(s): H04L61/3015, H04L61/5007, H04L61/5053

CPC Code(s): H04L61/3025



Abstract: a namespace monitoring service may track released namespaces such as internet protocol (ip) addresses and manage namespace cooldown pools, available namespace pools, and a registry of released namespaces to detect and mitigate security vulnerabilities that arise from reassignment of namespaces. the namespace monitoring service provides access to the released namespace registry and/or sends a data stream of namespace registry updates. the namespace monitoring service may manage namespace reassignment process and extend the cooldown period of released namespaces or place a hold on available namespaces.


20240323907. SENSOR-BASED PRIVACY PROTECTION FOR DEVICES_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Jason Gluckman of Encinitas CA (US) for amazon technologies, inc., Dan Gilbert Allen of Springville UT (US) for amazon technologies, inc., Dotan Bar-On of Rishon Le Zion (IL) for amazon technologies, inc., Johannes Obermaier of Paunzhausen (DE) for amazon technologies, inc., Andrew James Butler of Bury St. Edmunds (GB) for amazon technologies, inc.

IPC Code(s): H04W64/00, H04B17/327, H04W76/30

CPC Code(s): H04W64/006



Abstract: devices and techniques are generally described for sensor-based privacy protection for devices. in some examples, a first machine learning model and first data generated by the accelerometer may be used to determine that the first data corresponds to a predefined motion profile. in various examples, a first location associated with the electronic device may be determined. in some further examples, the wireless transmitter may transmit second data indicating the first location based on the determining that the first data corresponds to quadruped movement.


Amazon Technologies, Inc. patent applications on September 26th, 2024