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Penn State researchers published a paper in Science Advances detailing soft biomolecular networks for brain-inspired temporal computing. Published in 2026, the study shows connected droplet networks reduced prediction error by nearly 50% compared with independent nodes. The team plans to optimize the material for future ionic computing applications.
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