Break through the scaling limitations of analog computing
As machine learning models become larger and more complex, they require faster and more power-efficient hardware to perform calculations. Conventional digital computers struggle to keep up. An analog optical neural network could perform the same tasks as a digital network, such as image classification or speech recognition, but since the calculations are performed using light …
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