The advent of big data era raising significant challenges in information processing, especially in the aspect of capacity and power consumption. Situations become even worse when we consider the fact ...
Of the many feats achieved by artificial intelligence (AI), the ability to process images quickly and accurately has had an ...
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Q&A: Could light-powered computers reduce AI's energy use?
A key problem facing artificial intelligence (AI) development is the vast amount of energy the technology requires, with some ...
As the realm of computing continues to evolve, the integration of optical technologies has emerged as a groundbreaking frontier, presenting new paradigms for processing and information transfer.
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A radical new computer could replace electricity with light—and make processing unstoppable
A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...
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Scientists say they've eliminated a major AI bottleneck — now they can process calculations 'at the speed of light'
Scientists have developed a foundational architecture for next-generation optical computing — using light rather than electricity to power chips — that could revolutionize how artificial intelligence ...
Researchers create a photochromic fluorescent system that performs optical neural computing and visual output in one step, cutting power use and complexity. (Nanowerk News) The rapid growth of ...
How Computers Powered by Light Could Help With AI's Energy Problem ...
(Nanowerk Spotlight) Optical information processing is a critical technology for applications ranging from machine vision to high-speed optical communication. However, current photodetection systems ...
Researchers create a nanoscale light switch operating 10,000 times faster than electronic transistors, opening possibilities ...
Lumai team Lumai’s technology was spun out of world-leading optics research at the University of Oxford. From left to right: CEO & Co-Founder Tim Weil, Co-Founder & Head of Research Dr. Xianxin Guo, ...
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