US Patent Issued to Wells Fargo Bank on Feb. 4 for "Systems and methods for using deep machine learning for evolving boundary condition problems" (California Inventors)

ALEXANDRIA, Va., Feb. 5 -- United States Patent no. 12,217,152, issued on Feb. 4, was assigned to Wells Fargo Bank N.A. (San Francisco).

"Systems and methods for using deep machine learning for evolving boundary condition problems" was invented by Narayan Ganesan (San Francisco), Yajie Yu (San Francisco) and Bernhard Hientzsch (San Francisco).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems, apparatuses, methods, and computer program products are disclosed for determining and providing value information and/or boundary activation information for a system defined in an at least partially bounded domain (i.e., the boundary of said domain consisting of at least one point) and having boundary conditions imp...