ALEXANDRIA, Va., April 2 -- United States Patent no. 12,265,905, issued on April 1, was assigned to Amazon Technologies Inc. (Seattle).

"Computation of neural network node with large input values" was invented by Jung Ko (San Jose, Calif.), Kenneth Duong (San Jose, Calif.) and Steven L. Teig (Menlo Park, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Some embodiments provide a method for a circuit that executes a neural network including multiple nodes. The method loads a set of weight values for a node into a set of weight value buffers, a first set of bits of each input value of a set of input values for the node into a first set of input value buffers, and a second set of bits of each of the input ...