US Patent Issued to Red Hat on June 2 for "System and method of executing neural networks using compression and tensor columns" (American, Swiss Inventors)

ALEXANDRIA, Va., June 2 -- United States Patent no. 12,645,911, issued on June 2, was assigned to Red Hat Inc. (Raleigh, N.C.).

"System and method of executing neural networks using compression and tensor columns" was invented by Alexander Matveev (Cambridge, Mass.), Justin Kopinsky (Cambridge, Mass.), Mark Kurtz (Medford, Mass.), Dan Alistarh (Meyrin, Switzerland), Rati Gelashvili (Cambridge, Mass.) and Nir Shavit (Cambridge, Mass.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method and system may operate a neural network (NN), e.g. during inference or training, by executing a first tensor column comprising task instruction code representing at least one computation spanning a number of layers of the NN...