US Patent Issued to Applied Physics on June 2 for "Deep learning-based gravitational wave detection" (American, Swedish Inventors)

ALEXANDRIA, Va., June 2 -- United States Patent no. 12,645,004, issued on June 2, was assigned to Applied Physics Inc. (New York).

"Deep learning-based gravitational wave detection" was invented by Gianni Martire (New York), Michael Andrews (Pittsburgh), Manfred Paulini (Pittsburgh), Luke Sellers (Denver), Alexey Bobrick (Malmo, Sweden) and Haydn Kirk Vestal (Austin, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods describe providing deep learning-based detection of gravitational waves. In one embodiment, the system: trains a deep learning classifier using a first set of waveform data from GW detectors; applies the trained deep learning classifier to a second set of waveform data to i...