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

arXiv:2606.23742v2 Announce Type: replace-cross Abstract: 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 scalar weights. Inspired