US Patent Issued to Wells Fargo Bank on July 21 for "Systems and methods for using deep machine learning to problems corresponding to non-linear generator functions" (California Inventors)

ALEXANDRIA, Va., July 21 -- United States Patent no. 12,688,408, issued on July 21, was assigned to Wells Fargo Bank N.A. (San Francisco).

"Systems and methods for using deep machine learning to problems corresponding to non-linear generator functions" 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 a value corresponding to a composite object. Paths are determined based on initial values of underlying items of the composite object and random numbers. A DNN is trained by determining a final value for each path ...