Breakthrough in AI Image Classification
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optical computing systemsPhys Org
•Researchers develop energy-efficient optical neural networks
77% Informative
EPFL researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems.
In a series of image classification experiments, they used scattered light from a low-power laser to perform accurate, scalable computations using a fraction of the energy of electronics.
The method is up to 1,000 times more power-efficient than state-of-the-art deep digital networks, says Demetri Psaltis .
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