Photonic Chip Overcomes Neural Network Lags

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photonic processor

MIT News

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Photonic processor could enable ultrafast AI computations with extreme energy efficiency

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87% Informative

Scientists from MIT and elsewhere have developed a new photonic chip that overcomes these roadblocks.

They demonstrated a fully integrated photonic processor that can perform all the key computations of a deep neural network optically on the chip.

The chip could lead to faster and more energy-efficient deep learning for computationally demanding applications like lidar, scientific research in astronomy and particle physics.

Achieving such low latency enabled them to efficiently train a deep neural network on the chip.

The chip performs key computations in less than half a nanosecond.

The photonic system achieved more than 96 percent accuracy during training tests.

Scaling up their device and integrating it with real-world electronics will be a major focus of future work.

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English

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