AI chip that uses light instead of electrons to run generative models far faster and with drastically lower power consumption ...

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 ...

Ternary optical computing systems represent an innovative leap beyond traditional binary computation by utilising three discrete logic states. This approach leverages the intrinsic advantages of ...

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 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, ...

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 the context of the continuous development of high-speed optical communication, on-chip optical information processing is regarded as the core of ...

A new technical paper titled “Optical next generation reservoir computing” was published by researchers at Sorbonne Université, CNRS, Tsinghua University, University of Hong Kong, and University of ...