ALEXANDRIA, Va., Aug. 5 -- United States Patent no. 12,699,921, issued on Aug. 4, was assigned to MULTIVERSE COMPUTING SL (San Sebastian, Spain).

"Systems and methods of applying matrix product states to machine learning" was invented by Chia-Wei Hsing (San Sebastian, Spain), Roman Orus (San Sebastian, Spain), Samuel Mugel (Toronto), Saeed Jahromi (San Sebastian, Spain), Serkan Sahin (Munich) and Samuel Palmer (Toronto).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method of applying non-linear regression on a set of data points to get an estimate is described herein. The method includes receiving a set of N datapoints, separating the set of N datapoints into Nb batches, receiving a family of fitting funct...