ALEXANDRIA, Va., Sept. 15 -- United States Patent no. 12,737,684, issued on Sept. 15, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Model-specific synthetic data generation for machine learning model training" was invented by Abigail Goldsteen (Haifa, Israel), Ron Shmelkin (Givatayim, Israel), Ariel Farkash (Shimshit, Israel) and Maya Anderson (Netanya, Israel).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented method including: receiving a trained machine learning model; extracting a set of features associated with the machine learning model, wherein each of the extracted features is assigned a feature importance score which represents a relative explanatory power ...