Nanoscale memristor with multiple synaptic mechanisms for energy efficient neural networks

In our recent Nature Communications publication, featured on the Editors' Highlights webpage, we introduce nanoscale memristive devices that combines enhanced synaptic emulation with ultra-low energy consumption. These breakthroughs could improve AI performance and efficiency, with our devices showing a 100x energy reduction compared to GPUs in a neural network playing Atari games.

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