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Real-time neural network training on chip

This innovation eliminates the need to transfer trained models from computers, drastically reducing energy consumption and enhancing efficiency.

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Researchers at TU Eindhoven have achieved a significant breakthrough in AI technology by developing a neuromorphic chip that supports on-chip neural network training. This innovation eliminates the need to transfer trained models from computers, drastically reducing energy consumption and enhancing efficiency. Utilising electrochemical random-access memory (EC-RAM) components, these chips mimic neuron behaviour, allowing real-time learning and adaptation.

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