Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

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Neural networks made from photonic chips can be trained using on-chip backpropagation – the most widely used approach to training neural networks, according to a new study. The findings pave the way ...

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Measurement results of the array of three-terminal-based electrochemical memory devices, demonstrating excellent characteristics in both cycle and device-to-device scatter, well above the requirements ...

Real data can be hard to get, so researchers are turning to synthetic data to train their artificial intelligence systems. On a sunny day in late 1987, a Chevy van drove down a curvy wooded path on ...

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