Novel AI Framework Running on Optical Hardware Promises More Efficient Scientific Computing

Researchers from the University of Tokyo and NTT have developed a novel AI framework that operates on optical hardware, combining both in their latest experiments. This approach aims to rethink the learning process itself, allowing physical systems to perform computation more naturally and efficiently, addressing the enormous computational resources typically required by today's AI systems. The findings were published in Nature Computational Science.