ALEXANDRIA, Va., March 5 -- United States Patent no. 12,243,072, issued on March 4, was assigned to Microsoft Technology Licensing LLC (Redmond, Wash.).

"Segment modeling for machine learning using tensor train decompositions" was invented by Ajith Muralidharan (Sunnyvale, Calif.), Ankan Saha (San Francisco) and Prakruthi Prabhakar (Foster City, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "In an example embodiment, tensor train decompositions are used to create large, personalized layers that are efficient for segment modeling. More particularly, rather than performing learning on an input matrix of training data that contains all segments, and then crossing this matrix with a vector for a particula...