US Patent Issued to NXP on Sept. 8 for "Method for detecting non-problem domain data in a machine learning model" (Dutch Inventors)

ALEXANDRIA, Va., Sept. 8 -- United States Patent no. 12,731,075, issued on Sept. 8, was assigned to NXP B.V. (Eindhoven, Netherlands).

"Method for detecting non-problem domain data in a machine learning model" was invented by Jan Hoogerbrugge (Helmond, Netherlands) and Wilhelmus Petrus Adrianus Johannus Michiels (Reusel, Netherlands).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method is provided for detecting non-problem domain (NPD) data in a machine learning (ML) model. The method includes training the ML model using problem domain (PD) training data. A second fully connected layer is added to the trained ML model in parallel with a first fully connected layer in the trained ML model. The trained ML mo...