US Patent Issued to Lyten on Oct. 27 for "Method to learn precise sensing fingerprints based on machine learning integration" (California, Colorado Inventors)

ALEXANDRIA, Va., Oct. 27 -- United States Patent no. 12,774,974, issued on Oct. 27, was assigned to Lyten Inc. (San Jose, Calif.).

"Method to learn precise sensing fingerprints based on machine learning integration" was invented by Daniel Cook (Woodside, Calif.), Michael Stowell (Sunnyvale, Calif.), Karel Vanheusden (Woodside, Calif.), George Clayton Gibbs (Santa Clara, Calif.), Jacques Nicole (Palo Alto, Calif.), Carlos Montalvo (Cambria, Calif.), Kyle Matthys (Los Altos Hills, Calif.), Bruce Lanning (Littleton, Colo.), Sung Lim (Mountain View, Calif.) and John Chmiola (San Francisco).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods and system to learn precise sensing fingerprints based on machine lear...