ALEXANDRIA, Va., Sept. 24 -- United States Patent no. 12,743,277, issued on Sept. 22, was assigned to EDGECORTIX INC. (Tokyo).

"Neural network hardware acceleration via sequentially connected computation modules" was invented by Oleg Khavin (Tokyo), Nikolay Nez (Tokyo) and Sakyasingha Dasgupta (Tokyo).

According to the abstract* released by the U.S. Patent & Trademark Office: "Neural network hardware acceleration is performed by an integrated circuit including sequentially connected computation modules. Each computation module includes a processor and an adder. The processor includes circuitry configured to receive an input data value and a weight value, and perform a mathematical operation on the input data value and the weight value to ...