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 ...

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, ...

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 ...

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 ...

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

For decades there has been near constant progress in reducing the size, and increasing the performance, of the circuits that power computers and smartphones. But Moore’s Law is ending as physical ...

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 ...

Ottawa-based deep-tech startup Hyperlume is poised to disrupt the landscape of AI and high-performance computing with its innovative optical interconnect solutions. The company is tackling the growing ...

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 ...