Modern autonomous hardware is trapped between two flawed computational paradigms: power-hungry, data-dependent Deep Learning (AI) networks that lack physical predictability, and rigid Classical Control loops (Calculus) that fail when encountering unmodeled environmental dynamics.…
Using large deviations theory, we solve and obtain a general expression for the free energy functional for a broad class of associative memories, including dense associative memories. We illustrate the method by reproducing classical results for the Hopfield model. For a finite n…