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MIT Researchers Develop Ionic Neuromorphic Chips to Cut AI Energy Use by Up to 1,000×
Researchers at MIT are exploring neuromorphic computing designs that replicate how the human brain processes information, aiming to lower the energy demands of modern AI. Their ionic synapse devices store and compute data in one place, reducing the costly data shuttling that occurs in traditional chips. The work could enable more efficient AI in wearables, sensors, and other low-power environments.
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