Amazon Technologies, Inc. patent applications on August 15th, 2024

Patent Applications by Amazon Technologies, Inc. on August 15th, 2024

Amazon Technologies, Inc.: 7 patent applications

Amazon Technologies, Inc. has applied for patents in the areas of G06F9/50 (1), G06F9/455 (1), H04W76/11 (1), H04B17/318 (1), H04W76/19 (1) G06F9/5038 (1), G06N5/04 (1), G10L13/086 (1), G10L15/02 (1), H04L9/3268 (1)

With keywords such as: speech, language, computing, network, workflow, respective, execution, workloads, networking, and connectivity in patent application abstracts.

Patent Applications by Amazon Technologies, Inc.

20240272953. CLIENT-CONFIGURABLE RETENTION PERIODS FOR MACHINE LEARNING SERVICE-MANAGED RESOURCES_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Ramyanshu Datta of Campbell CA (US) for amazon technologies, inc., Ishaaq Chandy of Bellevue WA (US) for amazon technologies, inc., Arvind Sowmyan of Seattle WA (US) for amazon technologies, inc., Wei You of Kirkland WA (US) for amazon technologies, inc., Kunal Mehrotra of Kirkland WA (US) for amazon technologies, inc., Kohen Berith Chia of Seattle WA (US) for amazon technologies, inc., Andrea Olgiati of Gilroy CA (US) for amazon technologies, inc., Lakshmi Naarayanan Ramakrishnan of Redmond WA (US) for amazon technologies, inc., Saurabh Gupta of Sammamish WA (US) for amazon technologies, inc.

IPC Code(s): G06F9/50

CPC Code(s): G06F9/5038

Abstract: a post-task-completion retention period for which a computing resource is to be retained, without de-activating the resource, on behalf of a set of requesters of machine learning tasks is determined at a machine learning service. a first task, identified at the service prior to expiration of the retention period at a first computing resource at which a second task has completed, is initiated at the first computing resource. in response to obtaining an indication of a third task and determining that a threshold criterion associated with the retention period satisfies a criterion, the third task is initiated at an additional computing resource. the additional computing resource is de-activated after the third task completes, without waiting for the retention period to expire.

20240273389. ARTIFICIAL INTELLIGENCE SYSTEM PROVIDING INTERACTIVE MODEL INTERPRETATION AND ENHANCEMENT TOOLS_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Shikhar Gupta of Seattle WA (US) for amazon technologies, inc., Shriram Venkataramana of Seattle WA (US) for amazon technologies, inc., Sri Kaushik Pavani of Redmond WA (US) for amazon technologies, inc., Sunny Dasgupta of Redmond WA (US) for amazon technologies, inc.

IPC Code(s): G06N5/04, G06F16/28, G06N20/00

CPC Code(s): G06N5/04

Abstract: an interactive interpretation session with respect to a first version of a machine learning model is initiated. in the session, indications of factors contributing to a prediction decision are provided, as well indications of candidate model enhancement actions. in response to received input, an enhancement action is implemented to obtain a second version of the model. the second version of the model is stored.

20240274122. SPEECH TRANSLATION WITH PERFORMANCE CHARACTERISTICS_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Duo Wang of Cambridge (GB) for amazon technologies, inc., Vincent Laurent J. Pollet of Astene (BE) for amazon technologies, inc., Mikolaj Wojciech Babianski of Gdansk (PL) for amazon technologies, inc., Jakub Bartlomiej Swiatkowski of Warsaw (PL) for amazon technologies, inc.

IPC Code(s): G10L13/08, G10L15/16, G10L25/63, H04N21/81

CPC Code(s): G10L13/086

Abstract: an expressive speech translation system may process source speech in a source language and output synthesized speech in a target language while retaining vocal performance characteristics such as intonation, emphasis, rhythm, style, and/or emotion. the system may receive a transcript of the source speech, translate it, and generate transcript data. to generate the synthesized speech, the system may process the transcript data with a language embedding representing language-dependent speech characteristics of the target language, a speaker embedding representing speaker-dependent voice identity characteristics of a speaker, and a performance embedding representing the vocal performance characteristics of the source speech. the system may control the duration of segments of the synthesized speech to better align with corresponding segments of the source speech for the purpose of dubbing multimedia content with synthesized speech in a language different from that of the original audio.

20240274123. SYSTEMS AND METHODS FOR PHONEME RECOGNITION_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Yue Zhang of Bellevue WA (US) for amazon technologies, inc., Sarah Campbell of Somerville MA (US) for amazon technologies, inc., Jie Li of Bothell WA (US) for amazon technologies, inc., Pralam Shah of Bothell WA (US) for amazon technologies, inc., Soumya Saha of Bellevue WA (US) for amazon technologies, inc.

IPC Code(s): G10L15/02, G10L15/187

CPC Code(s): G10L15/02

Abstract: techniques for recognizing phonemes from a spoken input and providing pronunciation feedback as part of a language learning experience are described. some embodiments use a machine learning model configured to recognize phonemes spoken in a user's native language and spoken in the language to be learned. the model is trained with the native language's lexicon and the learning language's lexicon. the system can provide feedback at a word level, a syllable level and/or phoneme level. the system can also provide feedback with respect to phoneme stress.

20240275615. CRYPTOGRAPHIC ASSERTIONS FOR CERTIFICATE ISSUANCE_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Michael S. Slaughter of Stone Mountain GA (US) for amazon technologies, inc., Trevoli Ponds-White of Seattle WA (US) for amazon technologies, inc., James Darrin Flanagan of Coupeville WA (US) for amazon technologies, inc., Georgy Sebastian of Everett WA (US) for amazon technologies, inc.

IPC Code(s): H04L9/32, H04L9/14

CPC Code(s): H04L9/3268

Abstract: components of a public certificate authority (ca) generate respective cryptographic assertions during performance of respective tasks of a certificate issuance workflow and a workflow approval component approves/rejects certificate issuance, based upon verification of the cryptographic assertions. for example, a workflow manager may assign tasks of a certificate workflow process to a number of components that process the tasks. the components generate responses and sign the respective responses with keys particular to each component. the workflow manager gathers the cryptographic assertions and sends them to a workflow approval component that validates the assertions, verifies the assertions indicate successful completion of the workflow and approves or rejects certificate issuance.

20240275689. PROVIDING VIRTUAL NETWORKING DEVICE FUNCTIONALITY FOR MANAGED COMPUTER NETWORKS_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Eric Jason Brandwine of Haymarket VA (US) for amazon technologies, inc., Kevin Christopher Miller of Herndon VA (US) for amazon technologies, inc., Andrew J. Doane of Vienna VA (US) for amazon technologies, inc.

IPC Code(s): H04L41/12, G06F9/455, H04L41/0816, H04L41/50, H04L45/02, H04L45/586, H04L45/64, H04L67/00

CPC Code(s): H04L41/12

Abstract: techniques are described for providing virtual networking functionality for managed computer networks. in some situations, a user may configure or otherwise specify a logical network topology for a managed computer network with multiple computing nodes that includes one or more virtual networking devices each associated with a specified group of the multiple computing nodes. corresponding networking functionality may be provided for communications between the multiple computing nodes by emulating functionality that would be provided by the networking devices if they were physically present and configured to support the specified network topology. in some situations, the managed computer network is a virtual computer network overlaid on a substrate network, and the networking device functionality emulating includes receiving routing communications directed to the networking devices and using included routing information to update the specified network topology for the managed computer network.

20240276579. INTELLIGENT CONNECTIVITY FOR VEHICLES_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Brett Francis of Redwood City CA (US) for amazon technologies, inc., Nicholas Jay Lefler of Canton GA (US) for amazon technologies, inc., David Joseph Mifsud of Lake Stevens WA (US) for amazon technologies, inc., Michael Garcia of New York NY (US) for amazon technologies, inc.

IPC Code(s): H04W76/19, H04B17/318, H04W76/11, H04W84/02

CPC Code(s): H04W76/19

Abstract: a connectivity monitor of a vehicle determines current and/or future states of antennas. a workload monitor of the vehicle receives execution criteria for different workloads to be executed. an intelligent connectivity engine at the vehicle receives the current and/or future states of the antennas and the execution criteria for the respective workloads. based on the current and/or future states of the antennas and the execution criteria for the respective workloads, the intelligent connectivity engine assigns at least one of the respective workloads for current execution and at least another of the respective workloads for future execution. a client may use an intelligent connectivity service to configure various aspects of the vehicle connectivity. for example, the client can provide workload recommendation code for the intelligent connectivity engine to assign workloads for current or future execution.

Amazon Technologies, Inc. patent applications on August 15th, 2024