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 ...

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 ...

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 ...

A study published in Engineering introduces an innovative high-precision aerosol algorithm for geostationary meteorological satellite. Entitled “A Deep-Learning and Transfer-Learning Hybrid Aerosol ...

A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute.