US Patent Issued to ROBERT BOSCH on Nov. 11 for "Training neural networks with a lesser requirement for labelled training data" (German, American Inventors)

ALEXANDRIA, Va., Nov. 11 -- United States Patent no. 12,469,271, issued on Nov. 11, was assigned to ROBERT BOSCH GMBH (Stuttgart, Germany).

"Training neural networks with a lesser requirement for labelled training data" was invented by Piyapat Saranrittichai (Nuremberg, Germany), Andres Mauricio Munoz Delgado (Schoenaich, Germany), Chaithanya Kumar Mummadi (Pittsburgh), Claudia Blaiotta (Stuttgart, Germany) and Volker Fischer (Renningen, Germany).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for training a neural network for determining a task output with respect to a given task. The method includes: providing unlabeled and/or labelled encoder training records of measurement data; training the encod...