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:
Jul. 21, 2026

Filed:

Apr. 29, 2021
Applicant:

Applied Brain Research Inc., Waterloo, CA;

Inventors:

Gurshaant Singh Malik, Waterloo, CA;

Aaron Russell Voelker, Waterloo, CA;

Christopher David Eliasmith, Waterloo, CA;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/044 (2023.01); G06F 7/544 (2006.01); G06F 9/38 (2018.01); G06N 3/063 (2023.01);
U.S. Cl.
CPC ...
G06N 3/044 (2023.01); G06F 7/544 (2013.01); G06F 9/3885 (2013.01); G06N 3/063 (2013.01); G06F 2207/4812 (2013.01); G06F 2207/4824 (2013.01);
Abstract

Recurrent neural networks are efficiently mapped to hardware computation blocks specifically designed for Legendre Memory Unit (LMU) cells, Projected LSTM cells, and Feed Forward cells. Iterative resource allocation algorithms are used to partition recurrent neural networks and time multiplex them onto a spatial distribution of computation blocks, guided by multivariable optimizations for power, performance, and accuracy. Embodiments of the invention provide systems for low power, high performance deployment of recurrent neural networks for battery sensitive applications such as automatic speech recognition (ASR), keyword spotting (KWS), biomedical signal processing, and other applications that involve processing time-series data.


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