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Concerns about AI's energy use have a lot of people looking into ways to cut down on its power requirements. Many of these ...
“Not only is our approach the first to use neural network hardware in this way, but its processes will give new insights into the causes and manifestations of bugs, security flaws and computer system ...
A cutting-edge AI acceleration platform powered by light rather than electricity could revolutionize how AI is trained and ...
Intelligent nanophotonics, combining nanophotonics and machine learning, is transforming optical information processing. This ...
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Tech Xplore on MSNPhotonic computing needs more nonlinearity: Acoustics can helpNeural networks are one typical structure on which artificial intelligence can be based. The term "neural" describes their ...
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Tech Xplore on MSNLeveraging silicon photonics for scalable and sustainable AI hardwareThe emergence of AI has profoundly transformed numerous industries. Driven by deep learning technology and Big Data, AI ...
Examples like Intel's Loihi chips tend to get competitive performance out of far lower clock speeds and energy use, but they ...
Taichi has demonstrated high efficiency and complex AI task handling, using a novel hybrid optical approach to overcome ...
NUS researchers have shown that a single transistor can replicate both neural and synaptic behaviors, marking a significant ...
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