US Patent Issued to Synopsys on May 6 for "Neural network based mask synthesis for integrated circuits" (California, Texas Inventors)

ALEXANDRIA, Va., June 10 -- United States Patent no. 12,293,279, issued on May 6, was assigned to Synopsys Inc. (Sunnyvale, Calif.).

"Neural network based mask synthesis for integrated circuits" was invented by Thomas Christopher Cecil (Menlo Park, Calif.), Kevin Hooker (Austin, Texas) and Marco Guajardo (Austin, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "A system uses machine learning models, such as neural networks for generating mask design from a circuit design. The machine learning models have inputs and outputs which are localized to a small region of the circuit design. The machine learning model takes as input features describing the circuit design in the neighborhood of a location and gene...