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AI Overcomes Stumbling Block on Brain-Inspired Hardware | Quanta Magazine

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Algorithms that use the brain’s communication signal can now work on analog neuromorphic chips, which closely mimic our energy-efficient brains.

AI Overcomes Stumbling Block on Brain-Inspired Hardware | Quanta Magazine Home AI Overcomes Stumbling Block on Brain-Inspired Hardware Read Later Share Copied! Comments Read Later Read Later neural networks AI Overcomes Stumbling Block on Brain-Inspired Hardware By Allison Whitten February 17, 2022 Algorithms that use the brain’s communication signal can now work on analog neuromorphic chips, which closely mimic our energy-efficient brains. Read Later The BrainScaleS-2 neuromorphic chip, developed by neuromorphic engineers at Heidelberg University, uses tiny circuits that mimic the analog

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