US Patent Issued to Cypress Semiconductor on Feb. 10 for "Optimization of memory use for efficient neural network execution" (California, New Jersey Inventors)

ALEXANDRIA, Va., Feb. 11 -- United States Patent no. 12,547,870, issued on Feb. 10, was assigned to Cypress Semiconductor Corp. (San Jose, Calif.).

"Optimization of memory use for efficient neural network execution" was invented by Kaiping Li (Randolph, N.J.), Aidan Smyth (Milpitas, Calif.) and Ashutosh Pandey (Irvine, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Implementations disclosed describe methods and systems to perform the methods of optimizing a size of memory used for accumulation of neural node outputs and for supporting multiple computational paths in neural networks. In one example, a size of memory used to perform neural layer computations is reduced by performing nodal computations i...