US Patent Issued to QUALCOMM on Jan. 28 for "Compression of sparse deep convolutional network weights" (California Inventors)

ALEXANDRIA, Va., Jan. 29 -- United States Patent no. 12,210,958, issued on Jan. 28, was assigned to QUALCOMM Inc. (San Diego).

"Compression of sparse deep convolutional network weights" was invented by Aaron Lamb (San Diego), Rexford Hill (San Diego) and Amin Ansari (San Diego).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present disclosure describes methods, computer-readable media, and apparatuses for operating neural networks. For example, a first apparatus may receive a set of sparse weight vectors. The first apparatus may compress the set of sparse weight vectors to produce a compressed set of sparse weight vectors. The first apparatus may operate a neural network based on the compressed set of spa...