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Artificial neuron device could shrink energy use and size of neural network hardware

New theory predicts movement of different animals using sensing to search

Neural network training could one day require less computing power and hardware, thanks to a new nanodevice that can run neural network computations using 100 to 1000 times less energy and area than existing CMOS-based hardware.

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