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 ...

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 ...

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.

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 ...

Postdoctoral research fellow Xiao Qi in the laser room at Berkeley Lab's Molecular Foundry. Qi used the setup to develop a new optical computing material from nanoparticles that exhibit a phenomenon ...

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 ...