US Patent Issued on Feb. 10 for "Neural network configuration parameter training and deployment method and apparatus for coping with device mismatch" (Swiss Inventors)

ALEXANDRIA, Va., Feb. 11 -- United States Patent no. 12,547,717, issued on Feb. 10.

"Neural network configuration parameter training and deployment method and apparatus for coping with device mismatch" was invented by Dylan Richard Muir (Zurich), Julian Buchel (Zurich) and Fynn Faber (Zurich).

According to the abstract* released by the U.S. Patent & Trademark Office: "A neural network (NN) configuration parameter training and deployment method and apparatus are disclosed. The method and the apparatus include searching for simulated attacked NN configuration parameters on a basis of NN configuration parameters, so that the attacked NN configuration parameters move in a direction of maximal divergence from an NN output result corresponding ...