Tiny memristor chip cuts brain modeling time to under 10 milliseconds

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Researchers have developed a tiny memristor-based hardware chip capable of simulating complex brain structures in less than 10 milliseconds. By moving away from traditional silicon architecture and toward energy-efficient neuromorphic systems, this breakthrough could enable real-time, large-scale biological modeling and more efficient AGI hardware. The leap in speed suggests we are getting closer to hardware that mirrors the physical efficiency of human neural pathways.