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US Patent 11496600 Remote execution of machine-learned models

Patent 11496600 was granted and assigned to Apple (company) on November, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Apple (company)
Apple (company)
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Current Assignee
Apple (company)
Apple (company)
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
114966000
Patent Inventor Names
Umesh S. Vaishampayan0
Gaurav Kapoor0
Kit-man Wan0
Date of Patent
November 8, 2022
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Patent Application Number
165545180
Date Filed
August 28, 2019
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Patent Citations
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US Patent 10055681 Mapping actions and objects to tasks
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US Patent 10074360 Providing an indication of the suitability of speech recognition
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US Patent 10074371 Voice control of remote device by disabling wakeword detection
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US Patent 10001817 User interface for manipulating user interface objects with magnetic properties
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US Patent 10032455 Configurable speech recognition system using a pronunciation alignment between multiple recognizers
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US Patent 10037758 Device and method for understanding user intent
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US Patent 10049663 Intelligent automated assistant for media exploration
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US Patent 10049668 Applying neural network language models to weighted finite state transducers for automatic speech recognition
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Patent Primary Examiner
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Kevin T Bates
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CPC Code
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G06F 1/163
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G06F 1/1694
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G06F 1/1698
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G06F 3/0346
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G06F 3/0488
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G06N 20/00
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G06N 3/063
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H04L 67/2895
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In an exemplary process for remote execution of machine-learned models, one or more signals from a second electronic device is detected by a first electronic device. The second electronic device includes a machine-learned model associated with an application implemented on the first electronic device. Based on the one or more signals, a communication connection is established with the second electronic device and a proxy to the machine-learned model is generated. Input data is obtained via a sensor of the first electronic device. A representation of the input data is sent to the second electronic device via the proxy and the established communication connection. The representation of the input data is processed through the machine-learned model to generate an output. A result derived from the output is received via the communication connection and a representation of the result is outputted.

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