The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 10, 2021

Filed:

Sep. 29, 2020
Applicant:

University of Dayton, Dayton, OH (US);

Inventors:

Chris Yakopcic, Dayton, OH (US);

Tarek M. Taha, Centerville, OH (US);

Md Raqibul Hasan, Baltimore, MD (US);

Assignee:

University of Dayton, Dayton, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/063 (2006.01); G11C 11/54 (2006.01); G11C 13/00 (2006.01); G06F 17/10 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06N 3/0635 (2013.01); G06F 17/10 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G11C 11/54 (2013.01); G11C 13/004 (2013.01); G11C 13/0021 (2013.01);
Abstract

An analog neuromorphic circuit is disclosed having resistive memories that provide a resistance to each corresponding input voltage signal. Input voltages are applied to the analog neuromorphic circuit. Each input voltage represents a vector value that is a non-binary value included in a vector that is incorporated into a dot-product operation with weighted matrix values included in a weighted matrix. A controller pairs each resistive memory with another resistive memory. The controller converts each pair of resistance values to a single non-binary value. Each single non-binary value is mapped to a weighted matrix value included in the weighted matrix that is incorporated into the dot-product operation with the vector values included in the vector. The controller generates dot-product operation values from the dot-product operation with the vector and the weighted matrix where each dot-product operation is a non-binary value.


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