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US Patent 11494620 Systolic neural network engine capable of backpropagation

Patent 11494620 was granted and assigned to Western Digital on November, 2022 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Western Digital
Western Digital
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Current Assignee
Western Digital
Western Digital
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
114946200
Patent Inventor Names
Luiz M. Franca-Neto0
Date of Patent
November 8, 2022
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Patent Application Number
159816640
Date Filed
May 16, 2018
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Patent Citations
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US Patent 10102453 Natural language processing via a two-dimensional symbol having multiple ideograms contained therein
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US Patent 10459849 Scheduling operations in an access-controlled region of memory
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US Patent 10521488 Dynamic partitioning
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US Patent 10817802 Apparatus for hardware accelerated machine learning
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US Patent 10790828 Application specific integrated circuit accelerators
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US Patent 10019668 Scheduling neural network processing
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US Patent 10043095 Data structure for CNN based digital integrated circuit for extracting features out of an input image
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US Patent 10074051 Vector computation unit in a neural network processor
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Patent Primary Examiner
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Kamran Afshar
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CPC Code
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G06N 3/08
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G06N 3/084
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G06N 3/063
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G06F 15/8046
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G06N 5/046
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G06N 3/04
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G06N 3/0481
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A method of computer processing is disclosed comprising receiving a data packet at a processing node of a neural network, performing a calculation of the data packet at the processing node to create a processed data packet, attaching a tag to the processed data packet, transmitting the processed data packet from the processing node to a receiving node during a systolic pulse, receiving the processed data packet at the receiving node, performing a clockwise convolution on the processed data packet and a counter clockwise convolution on the processed data packet, performing an adding function and backpropagating results of the performed sigmoid function to each of the processing nodes that originally processed the data packet.

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