US Patent Issued to ANSYS on Sept. 9 for "Systems and methods for machine learning based risky circuit pattern identification" (California Inventors)

ALEXANDRIA, Va., Sept. 10 -- United States Patent no. 12,412,110, issued on Sept. 9, was assigned to ANSYS INC. (Canonsburg, Pa.).

"Systems and methods for machine learning based risky circuit pattern identification" was invented by Akhilesh Kumar (Milpitas, Calif.), Hui Ding (Los Altos, Calif.) and Norman Chang (Fremont, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Machine assisted systems and methods for detecting unreliable circuit patterns are described. These systems and methods can use a machine learning classifier, that has been trained to recognize such circuit patterns, to detect the unreliable circuit patterns without requiring computationally expensive simulations of a circuit netlist whi...