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US Patent 10387771 Accelerator for deep neural networks

OverviewStructured DataIssuesContributorsActivity
Is a
Patent
Patent
Date Filed
May 26, 2017
Date of Patent
August 20, 2019
Patent Application Number
15606118
Patent Citations Received
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US Patent 11960809 Method and system to implement a composite, multi-domain model for electro-optical modeling and simulation
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US Patent 11551093 Resource-aware training for neural networks
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US Patent 11604970 Micro-processor circuit and method of performing neural network operation
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US Patent 11256841 Method and system to implement a composite, multi-domain model for electro-optical modeling and simulation
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US Patent 11263520 Instruction generation process multiplexing method and device
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US Patent 11790234 Resource-aware training for neural networks
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US Patent 11841799 Graph neural network accelerator with attribute caching
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US Patent 11514326 Drift regularization to counteract variation in drift coefficients for analog accelerators
Patent Inventor Names
Sayeh Sharify
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Jorge Albericio
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Patrick Judd
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Alberto Delmas Lascorz
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Andreas Moshovos
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10387771
Patent Primary Examiner
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David R Vincent

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