Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

Synthesis using physical modeling has a long history. As computational costs for physical modeling synthesis are often much greater than for conventional synthesis methods, most techniques currently ...

NTT Research and Cornell Scientists Introduce Deep Physical Neural Networks Article in Nature Explains the Application of Physics-Aware Training Algorithm and Shares Results of Tests on Three Physical ...