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 ...

At the cutting edge of artificial intelligence, a groundbreaking fusion is taking place: the marriage of AI with the physical world. This phenomenon, known as physical AI, is not just an incremental ...