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Engineers bring efficient optical neural networks into focus

ScienceDaily
Summary
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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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88

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formal

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English

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77

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long-living

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