Since the days of Isaac Newton, the fundamental laws of nature—optics, acoustics, engineering, electronics—all ultimately reduce to a vital, broad set of equations. Now researchers have found a new way to use brain-inspired neural networks to solve these equations significantly more efficiently than before for numerous potential applications in science and engineering.In modern science and engineering, partial differential equations help model complex physical systems involving multiple rates of...