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optical neural networksScienceDaily
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78% 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.
Deep neural networks, inspired by the architecture of the human brain, are especially power-hungry due to the millions of connections between multiple layers of neuron-like processors.
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