Three tiny neural networks, each under 50,000 parameters, cut prediction error by more than half and reached up to 95 percent ...

Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.

ARLINGTON, Va. – U.S. military researchers are asking industry to develop find new ways of developing computer-aided target tracking algorithms that can blend data from several different sensors with ...

NASA's Center for Near-Earth Object Studies enters its third decade of predicting possible impacts. NASA's Center for Near-Earth Object Studies Enters Third Decade. On March 11, 1998, asteroid ...