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 ...

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 ...

Physicists and chemists at Heidelberg University have realized a photonic microchip that is driven by light just as easily as ...

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 ...

The goal of this collaboration is to develop photonic components that address phase and polarization stability -- key challenges in photonic quantum computing. Maintaining this stability is crucial.

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 ...