US Patent Issued to Robert Bosch on Jan. 13 for "Device and computer-implemented method for data-efficient active machine learning" (German Inventors)

ALEXANDRIA, Va., Jan. 13 -- United States Patent no. 12,524,701, issued on Jan. 13, was assigned to Robert Bosch GmbH (Stuttgart, Germany).

"Device and computer-implemented method for data-efficient active machine learning" was invented by Christian Haase-Schuetz (Fellbach, Germany) and Peter Moeller (Heidelberg, Germany).

According to the abstract* released by the U.S. Patent & Trademark Office: "A device and a computer-implemented method for data-efficient active machine learning. Annotated data are provided. A model is trained for a classification of the data as a function of the annotated data. The model trained in this way is calibrated, as a function of the annotated data, with regard to confidence for a correctness of the classific...