ALEXANDRIA, Va., Feb. 24 -- United States Patent no. 12,561,554, issued on Feb. 24, was assigned to ROBERT BOSCH GMBH (Stuttgart, Germany).

"Error identification for an artificial neural network" was invented by Sebastian Vogel (Schaidt, Germany), Christoph Schorn (Leonberg, Germany) and Michael Klaiber (Stuttgart, Germany).

According to the abstract* released by the U.S. Patent & Trademark Office: "A device and method for machine learning using an artificial neural network. For a calculation hardware for the artificial neural network, a layer description is provided, which defines at least one part of a layer of the artificial neural network, the layer description defining a tensor for input values of at least one part of this layer, a t...