ALEXANDRIA, Va., Oct. 21 -- United States Patent no. 12,443,835, issued on Oct. 14, was assigned to Numenta Inc. (Redwood City, Calif.).

"Hardware architecture for processing data in sparse neural network" was invented by Kevin Lee Hunter (Sunnyvale, Calif.) and Subutai Ahmad (Palo Alto, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A hardware accelerator that is efficient at performing computations related to a sparse neural network. The sparse neural network may be associated with a plurality of nodes. One of the nodes includes one or more sparse tensors. The accelerator may compress the sparse tensor to a dense tensor. The sparse tensor may also be structured so that the dense locations in the ten...