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:
Nov. 22, 2022

Filed:

Mar. 13, 2019
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Alexander Keller, Berlin, DE;

Gonçalo Felipe Torcato Mordido, Potsdam, DE;

Noah Jonathan Gamboa, Menlo Park, CA (US);

Matthijs Jules Van Keirsbilck, Berlin, DE;

Assignee:

NVIDIA CORPORATION, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06N 3/088 (2013.01); G06N 3/082 (2013.01); G06N 3/084 (2013.01);
Abstract

Artificial neural networks (ANNs) are computing systems that imitate a human brain by learning to perform tasks by considering examples. By representing an artificial neural network utilizing individual paths each connecting an input of the ANN to an output of the ANN, a complexity of the ANN may be reduced, and the ANN may be trained and implemented in a much faster manner when compared to an implementation using fully connected ANN graphs.


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Keller, Alexander. (2022). Representing a neural network utilizing paths within the network to improve a performance of the neural network (U.S. Patent No. 11507846). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11507846

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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