US Patent Issued to NVIDIA on Sept. 22 for "Generative self-supervised learning to transform circuit netlists" (California, Minnesota, Texas Inventors)

ALEXANDRIA, Va., Sept. 24 -- United States Patent no. 12,743,570, issued on Sept. 22, was assigned to NVIDIA Corp. (Santa Clara, Calif.).

"Generative self-supervised learning to transform circuit netlists" was invented by Siddhartha Nath (San Jose, Calif.), Haoxing Ren (Austin, Texas), Geraldo Pradipta (Minneapolis), Corey Hu (San Diego) and Tian Yang (Los Altos, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Self-supervised machine learning is applied to combinational gate sizing based on an input circuit netlist. A transformer neural network architecture is disclosed to select gate sizes along paths of the network between primary inputs/outputs and/or sequential logic elements. The gate size selecti...