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Bio-inspired adaptive neurons that dynamically adjust weights during inference, bringing biological flexibility to rigid artificial neural networks for smarter, more adaptable AI.

John Hopfield and Geoffrey Hinton, two pioneers of machine learning and artificial neural networks, have won the Nobel Prize in Physics.

Scientists build stable, low-power memristors to help artificial neural networks learn new things without forgetting old ones.