US Patent Issued to Maxim Integrated Products on Feb. 25 for "Systems and methods for reducing memory requirements in neural networks" (Texas Inventors)

ALEXANDRIA, Va., Feb. 26 -- United States Patent no. 12,236,343, issued on Feb. 25, was assigned to Maxim Integrated Products Inc. (San Jose, Calif.).

"Systems and methods for reducing memory requirements in neural networks" was invented by Mark Alan Lovell (Lucas, Texas) and Robert Michael Muchsel (Addison, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "Described herein are systems and methods for efficiently processing large amounts of data when performing complex neural network operations, such as convolution and pooling operations. Given cascaded convolutional neural network layers, various embodiments allow for commencing processing of a downstream layer prior to completing processing of a current...