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

Training neural networks to perform tasks, such as recognizing images or navigating self-driving cars, could one day require less computing power and hardware thanks to a new artificial neuron device. The device can run neural network computations using 100 to 1000 times less energy and area than existing CMOS-based hardware.