US Patent Issued to Robert Bosch on Oct. 6 for "Method for estimating model uncertainties with the aid of a neural network and an architecture of the neural network" (German Inventors)

ALEXANDRIA, Va., Oct. 6 -- United States Patent no. 12,755,151, issued on Oct. 6, was assigned to Robert Bosch GmbH (Stuttgart, Germany).

"Method for estimating model uncertainties with the aid of a neural network and an architecture of the neural network" was invented by Gerhard Neumann (Karlsruhe, Germany) and Michael Volpp (Stuttgart, Germany).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented method for estimating uncertainties using a neural network, in particular, a neural process, in a model. The model models a technical system and/or a system behavior of the technical system. An architecture of the neural network for estimating uncertainties is also described."

The patent was filed...