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US Patent 11748625 Distributed convolution for neural networks

Patent 11748625 was granted and assigned to Intel on September, 2023 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors
Is a
Patent
Patent
Current Assignee
Intel
Intel
Date Filed
December 30, 2016
Date of Patent
September 5, 2023
Patent Applicant
Intel
Intel
Patent Application Number
15395675
Patent Citations
‌
US Patent 10198401 Max pooling in a matrix processing architecture
‌
US Patent 10922380 Distributed matrix multiplication for neural networks
‌
US Patent 10228937 Programmable matrix processing engine
‌
US Patent 7483932 Method and system for computing multidimensional fast Fourier transforms
‌
US Patent 7730121 Parallel processing systems and method
‌
US Patent 8356086 Distributed non-negative matrix factorization
‌
US Patent 9424076 Dynamic distribution for distributed arrays and related rules
‌
US Patent 10169296 Distributed matrix multiplication for neural networks
Patent Citations Received
‌
US Patent 12124360 Setting method of in-memory computing simulator
0
Patent Inventor Names
Carey K. Kloss
Amir Khosrowshahi
Aravind Kalaiah
Vijay Anand R. Korthikanti
Tony L. Werner
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11748625
Patent Primary Examiner
‌
Viker A Lamardo
CPC Code
‌
G06N 3/063
‌
G06N 20/00
‌
G06N 3/08
‌
G06N 3/04
‌
G06N 3/082

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