ALEXANDRIA, Va., July 16 -- United States Patent no. 12,670,293, issued on June 30, was assigned to Robert Bosch GmbH (Stuttgart, Germany).
"Method to improve training of classifiers when using data with personal identifiable information" was invented by Hauke Schmidt (Sunnyvale, Calif.) and Stefan Gehrer (Pittsburgh).
According to the abstract* released by the U.S. Patent & Trademark Office: "An approach for managing privacy-relevant data. Disclosed embodiments significantly improve the computational efficiency of training machine-learning models while still protecting privacy-relevant data in the training data."
The patent was filed on May 8, 2023, under Application No. 18/313,447.
*For further information, including images, charts an...