US Patent Issued to Synopsys on Aug. 26 for "Constrained random simulation using machine learning and Bayesian estimation" (California Inventors)

ALEXANDRIA, Va., Aug. 26 -- United States Patent no. 12,399,219, issued on Aug. 26, was assigned to Synopsys Inc. (Sunnyvale, Calif.).

"Constrained random simulation using machine learning and Bayesian estimation" was invented by Bhuvnesh Kumar (San Jose, Calif.), Ganapathy Parthasarathy (Fremont, Calif.), Saurav Nanda (San Jose, Calif.) and Sridhar Rajakumar (Fremont, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Certain aspects of the present disclosure are directed towards a method for circuit testing. The method generally includes: determining a probability distribution indicating prior failure probabilities associated with a circuit design; determining a first likelihood associated with occurren...