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Photonic Circuits Become Trainable AI Hardware

Nature reports that photonic circuits, which compute using light rather than electricity, can now be trained directly like conventional AI hardware. The advance suggests optical processors could run and learn neural networks with far greater speed and energy efficiency than electronic chips. Researchers see it as a step toward practical light-based computing for machine learning, though real-world deployment remains distant.

Why now: A leading science journal published a breakthrough showing optical chips can be trained, not just used, for AI.

Naturephotonic circuitsAI hardware

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