ALEXANDRIA, Va., July 21 -- United States Patent no. 12,688,423, issued on July 21, was assigned to Salesforce Inc. (San Francisco).

"Machine learning model compression" was invented by Romain Cosentino (San Francisco), Sarath Shekkizhar (San Francisco), Damjan Kalajdzievski (San Francisco) and Adam Earle (San Francisco).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques are described herein for a method of machine learning model compression. The method includes receiving a machine learning model comprising a plurality of blocks. The method further includes removing one or more blocks of the plurality of blocks to obtain an intermediate machine learning model comprising a subset of the plurality of blo...