US Patent Issued to ROBERT BOSCH on June 17 for "Computer implemented machine learning system and a method for operating the machine learning system for determining a time series" (German Inventors)

ALEXANDRIA, Va., June 19 -- United States Patent no. 12,333,390, issued on June 17, was assigned to ROBERT BOSCH GMBH (Stuttgart, Germany).

"Computer implemented machine learning system and a method for operating the machine learning system for determining a time series" was invented by Martin Schiegg (Korntal-Muenchingen, Germany) and Muhammad Bilal Zafar (Berlin).

According to the abstract* released by the U.S. Patent & Trademark Office: "A machine learning system and method of operating a machine learning system for determining a time series, comprising providing an input for a first in particular generative model depending on a probabilistic variable, determining an output of the first model in response to the input for the first mode...