Hybridizing Equilibrium Propagation with Ising Machines for Efficient Energy-Based Learning

Chen-Rui Fan, Bo Lu, Xing-Yu Wu +2

The rapid evolution of artificial intelligence has led to substantial advances in deep neural networks. Nonetheless, conventional GPU-based training remains highly energy-demanding…