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The brain is a diverse place, why not computing?

delete2026-07-13
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AI
P
Peyton Chandarana
J
James B. Aimone *
DOI：10.1038/s42256-026-01273-1delete
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Abstract

Abstract

En 中文
The brain’s architecture exhibits diversity across many temporal and spatial scales, yet our computing architectures remain largely homogeneous. Low-powered neuromorphic hardware offers a path towards energy-efficient AI, but could these approaches be improved with heterogeneous computing architectures?

Journal

Nature Machine Intelligence cover
Nature Machine Intelligence
IF:
23.9
Papers:
1.3K
Citations:
1.5W

Organization

S
Sandia National Laboratories
Scholars:
5.3K
Papers: 3.7K
Citations: 6.4K
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