Low-power analogue neural networks with trainable nonlinear connections for continuous control

Ian T. Vidamour, Fernando Aguirre, Thomas J. Hayward +13

Physical neural networks promise low-power machine learning by computing directly with analogue device physics, but most architectures force nonlinear device responses to act as sc…