ALEXANDRIA, Va., Sept. 8 -- United States Patent no. 12,731,028, issued on Sept. 8, was assigned to NEC Corp. (Tokyo).
"Automatic optimization with uncertainty aware neural networks" was invented by Daniel Onoro Rubio (Heidelberg, Germany).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method for automatic optimization of a system includes randomly generating a plurality of input parameter configurations for the system. Using a trained neural network, a plurality of throughputs of the system are simulated using each of the randomly generated input parameter configurations. Each of the randomly generated input parameter configurations are scored based on the simulated throughputs and data stored in a trainin...