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:
Jun. 28, 2022

Filed:

Oct. 18, 2018
Applicant:

Syntiant, Aliso Viejo, CA (US);

Inventors:

Kurt F. Busch, Laguna Hills, CA (US);

Pieter Vorenkamp, Laguna Beach, CA (US);

Stephen W. Bailey, Irvine, CA (US);

Assignee:

Syntiant, Irvine, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06F 8/65 (2018.01); G06N 3/063 (2006.01); G06F 16/16 (2019.01); G06N 3/10 (2006.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 8/65 (2013.01); G06F 16/16 (2019.01); G06N 3/0635 (2013.01); G06N 3/105 (2013.01);
Abstract

Provided herein is a system including, in some embodiments, one or more servers and one or more database servers configured to receive user-specific target information from a client application for training a neural network on a neuromorphic integrated circuit. The one or more database servers are configured to merge the user-specific target information with existing target information to form merged target information in the one or more databases. The system further includes a training set builder and a trainer. The training set builder is configured to build a training set for training a software-based version of the neural network from the merged target information. The trainer is configured to train the software-based version of the neural network with the training set to determine a set of synaptic weights for the neural network on the neuromorphic integrated circuit.


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