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Spin-based memory advance brings brain-like computing closer to reality

Researchers at National Taiwan University have developed a new type of spintronic device that mimics how synapses work in the brain—offering a path to more energy-efficient and accurate artificial intelligence systems.

In a study published in Advanced Science, the team introduced three novel memory designs, all controlled purely by electric current and without any need for an .

Among the devices, the one based on “tilted anisotropy” stood out. This optimized structure was able to achieve 11 stable memory states with highly consistent switching behavior.

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