ALEXANDRIA, Va., March 24 -- United States Patent no. 12,585,928, issued on March 24, was assigned to Numenta Inc. (Menlo Park, Calif.).

"Hardware architecture for introducing activation sparsity in 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. An artificial intelligence (AI) accelerator stores, at a memory circuit, a weight tenor and an input activation tensor that corresponds to a node of the neural network. The AI accelerator pe...