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papersSEP 12 04:00 UTC

Paper Explores Probabilistic In-Memory Hardware for Bayesian Learning

A new arXiv preprint examines how the neural dynamics behind Bayesian learning and decision-making in animals could be recreated in hardware. The authors propose using probabilistic in-memory computing circuits to integrate sensory evidence with prior beliefs under uncertainty. The work is presented as the first part of a series linking bio-inspired computation to physical device design.

arXiv Bayesian learning bio-inspired computation in-memory-computing probabilistic in-memory computing

COVERAGE · 2 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.LGBio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 1 ↗SEP 11 04:00 UTC

arXiv cs.AIBio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 1 ↗SEP 12 04:00 UTC