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Researchers at EPFL developed LogSync, a low-power neural chip that reads brain signals to identify cognitive and emotional states. Published in the IEEE Journal of Solid-State Circuits in 2026, the system consumes under 200 microwatts. It uses logarithmic computations to extract biomarkers from network-level brain activity, distinguishing states from recordings alone.
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