US Patent Issued to Aktiebolaget SKF on Aug. 25 for "System and method for validating unsupervised machine learning models" (Israeli Inventors)

ALEXANDRIA, Va., Aug. 25 -- United States Patent no. 12,718,144, issued on Aug. 25, was assigned to Aktiebolaget SKF (Gothenburg, Sweden).

"System and method for validating unsupervised machine learning models" was invented by David Lavid Ben Lulu (Yokneam Illit, Israel) and Eitan Vesely (Kfar-Vradim, Israel).

According to the abstract* released by the U.S. Patent & Trademark Office: "A system and method for validating unsupervised machine learning models. The method includes: analyzing, via unsupervised machine learning, a plurality of sensory inputs associated with a machine, wherein the unsupervised machine learning outputs at least one normal behavior pattern of the machine; generating, based on the at least one normal behavior patter...