Semiconductor chips that process light rather than electricity could boost processing speeds and reduce energy use.

Modern artificial intelligence (AI) faces critical challenges in energy consumption and processing latency due to the inherent limitations of electronic processors. Optical computing has emerged as a ...

A US startup called Neurophos has announced a new kind of AI chip that uses light instead of electricity to process data.

Machine learning and nanophotonics combine to enable fast, energy-efficient computing and sensing with potential for transformative AI-driven technologies. Fueled by metasurfaces and integrated ...

The intersection of artificial intelligence (AI) with nanophotonics has received tremendous interests because of its potential to solve the most challenging problems in both areas. In photonics, ...

Co-packaged optics (CPO)—the silicon photonics technology promising to transform modern data centers and high-performance networks by addressing critical challenges like bandwidth density, energy ...

Oxford spin-out is latest to target AI with claims of optical processing 'breakthrough' to address compute and power challenges. Lumai, a spin-out from the UK’s University of Oxford working on a ...

Chinese researchers have developed the first highly parallel optical computing integrated chip, named “Meteor-1”, setting a milestone for using light to perform an enormous number of operations at the ...

In a recent study published in Nature Photonics, a research team led by Lawrence Berkeley National Laboratory (Berkeley Lab), Columbia University, and Universidad Autónoma de Madrid developed a new ...