US Patent Issued to Siemens on Oct. 28 for "Methods for building a deep latent feature extractor for industrial sensor data" (German Inventors)

ALEXANDRIA, Va., Oct. 28 -- United States Patent no. 12,456,057, issued on Oct. 28, was assigned to Siemens AG (Munich).

"Methods for building a deep latent feature extractor for industrial sensor data" was invented by Denis KrompaB (Munich), Hans-Georg Kopken (Erlangen, Germany) and Tomislav Tomov (Munich).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present disclosure relates to a method of and a system for building a latent feature extractor as well as a neural network including a latent feature extractor built by the method and/or with the system. The method includes providing non-uniform training data for a multitude of tasks and optimizing parameters of a neural network of the latent feature extra...