Scientists have created a programmable optical chip that can slow light on demand, giving engineers far greater control over ...

As AI models continue to grow in size and complexity, chipmakers are shifting their ...

Energy-efficient visible-band intelligent vision processors demands both optical neural network (ONN) design and high-speed nanofabrication advances. Chinese researchers proposed a random-projection ...

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 explosive growth of data generated by artificial intelligence, cloud computing and modern digital infrastructure is placing increasing pressure on existing information storage technologies.

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 ...

A new optical interconnect system from Peking University uses silicon photonics and custom AI algorithms to overcome one of ...

Optical processing has long been explored for its potential in high-speed computing, but hurdles such as cost and scalability have prevented widespread deployment. Lumai, an optical compute company, ...