AINeutralarXiv – CS AI · 8h ago6/10
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Equilibrium Propagation for Non-Conservative Systems
Researchers have developed an extension of Equilibrium Propagation (EP), a physics-inspired machine learning algorithm, to work with non-conservative systems featuring non-reciprocal interactions. The breakthrough maintains EP's key advantage of using stationary states for both inference and learning while computing exact gradients, addressing a significant limitation of previous approaches.