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 ...

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 ...

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 ...

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, ...

Atom Computing has built a neutral-atom quantum processor containing 1,225 qubits, making it one of the largest qubit arrays demonstrated to date. The system uses optical tweezers to position ...

For the past decade, quantum computing has struggled to balance promise and practicality. While the world’s most advanced systems remain engineering marvels, they’re bedeviled by the same flaw: the ...

Julian is a contributor and former staff writer at CNET. He's covered a range of topics, such as tech, crypto travel, sports and commerce. His past work has appeared at print and online publications, ...