ALEXANDRIA, Va., Feb. 3 -- United States Patent no. 12,541,951, issued on Feb. 3, was assigned to Robert Bosch GmbH (Stuttgart, Germany).
"Training neural networks using a neural network" was invented by Marlon Ramon Ewert (Untergruppenbach, Germany).
According to the abstract* released by the U.S. Patent & Trademark Office: "The disclosure relates to a method for training a first neural network, in particular for generating training data for at least one second neural network, using a controller, wherein measurement data ascertained by at least one surroundings sensor or artificially generated data of initially ten traffic scenarios is received, the received measurement data is fed to the first neural network as input data in order to tr...