ALEXANDRIA, Va., Feb. 11 -- United States Patent no. 12,547,898, issued on Feb. 10, was assigned to Microsoft Technology Licensing LLC (Redmond, Wash.).

"Neural adapter for classical machine learning (ML) models" was invented by Matteo Interlandi (Seattle), Byung-Gon Chun (Redmond, Wash.), Markus Weimer (Kirkland, Wash.), Gyeongin Yu (Redmond, Wash.) and Saeed Amizadeh (Seattle).

According to the abstract* released by the U.S. Patent & Trademark Office: "Solutions for adapting machine learning (ML) models to neural networks (NNs) include receiving an ML pipeline comprising a plurality of operators; determining operator dependencies within the ML pipeline; determining recognized operators; for each of at least two recognized operators, sel...