Physics World (May 1) -- A deep-learning system that can sift gravitational wave signals from background noise has been created by physicists in the UK. The Glasgow group, however, is not the only one to have applied artificial intelligence to gravitational-wave detection. In particular, Daniel George and Eliu Huerta of the University of Illinois in the US have already published two papers showing that deep learning can operate orders of magnitude faster than matched filtering.