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. 08, 2021

Filed:

Jun. 13, 2018
Applicant:

The United States of America As Represented BY the Secretary of the Navy, San Diego, CA (US);

Inventors:

Daniel J Gebhardt, San Diego, CA (US);

Benjamin J Migliori, San Diego, CA (US);

Michael W Walton, San Diego, CA (US);

Logan Straatemeier, San Diego, CA (US);

Maurice R Ayache, San Diego, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2006.01); G06N 3/063 (2006.01);
U.S. Cl.
CPC ...
G06N 3/0481 (2013.01); G06N 3/04 (2013.01); G06N 3/049 (2013.01); G06N 3/063 (2013.01);
Abstract

An asynchronous convolutional neural network (CNN) can interpret a sequence of input data. An input value representing a sample of the sequence of input data is received by a computational unit (CU) in a layer of the asynchronous CNN. The CU calculates a dot product of the input value and a weight assigned to the CU to produce an activation value. A change detector (CD) associated with the CU detects a difference between the activation value and previous activation values. The CD determines whether the detected difference is significant, indicating that the sample of the sequence of input data includes a significant change. If the detected difference is significant, the activation value is supplied to at least one subsequent CU included in a subsequent layer of the asynchronous CNN.


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