US Patent Issued to APPLIED BRAIN RESEARCH on July 21 for "Partitionable digital hardware system for implementing recurrent neural networks" (Canadian Inventors)

ALEXANDRIA, Va., July 21 -- United States Patent no. 12,688,397, issued on July 21, was assigned to APPLIED BRAIN RESEARCH INC. (Waterloo, Canada).

"Partitionable digital hardware system for implementing recurrent neural networks" was invented by Gurshaant Singh Malik (Waterloo, Canada), Aaron Russell Voelker (Waterloo, Canada) and Christopher David Eliasmith (Waterloo, Canada).

According to the abstract* released by the U.S. Patent & Trademark Office: "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 multip...