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Chip design drastically reduces energy needed to compute with light

MIT researchers have developed a “photonic” artificial intelligence (AI) accelerator that computes using light instead of electricity — and consumes relatively little power in the process — to run massive neural networks millions of times more efficiently than today’s classical computers.
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Hardware & ElectronicsAI & Machine Learning2019

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Jun 8, 2019Chip design drastically reduces energy needed to compute with light by rbanffy14035

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