ALEXANDRIA, Va., Dec. 23 -- United States Patent no. 12,505,349, issued on Dec. 23, was assigned to SAMSUNG ELECTRONICS Co. LTD. (South Korea).

"Self-pruning neural networks for weight parameter reduction" was invented by Weiran Deng (Woodland Hills, Calif.) and Georgios Georgiadis (Burbank, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A technique to prune weights of a neural network using an analytic threshold function h(w) provides a neural network having weights that have been optimally pruned. The neural network includes a plurality of layers in which each layer includes a set of weights w associated with the layer that enhance a speed performance of the neural network, an accuracy of the neural...