Researchers at MIT Develop Technique for Enhancing Optical Neuron Networks

Breaking the scale limits of analog computing


Researchers at MIT have developed a method that reduces errors in optical neural networks, which use light instead of electrical signals to process data. The researchers’ technique reduces the errors in computations as an optical neural networks grows. They could then scale up these devices to commercial sizes.

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