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…

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