ALEXANDRIA, Va., June 19 -- United States Patent no. 12,333,393, issued on June 17, was assigned to nference Inc. (Cambridge, Mass.).
"Systems and methods for adaptively improving the performance of locked machine learning programs" was invented by Murali Aravamudan (Andover, Mass.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques for adaptively improving the performance of a locked machine learning program have been disclosed. In one particular embodiment, the techniques may be realized as a method for enabling a first party to provide a trained machine learning model to a second party, the method comprising receiving the trained machine learning model from the first party, the trained machine learn...