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Rank-Order N-of-M Codes for Sparse Distributed Memory: Disentangling Representation and Learning Effects in Noise Robustness Against Contemporary Neuromorphic Architectures

arXiv cs.LG · 2026-07-07 Cached

This paper investigates Rank-Order N-of-M codes for sparse distributed memory, disentangling representation and learning effects to evaluate noise robustness compared to contemporary neuromorphic architectures.

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#memory-models

@dair_ai: https://x.com/dair_ai/status/2058537927823556668

X AI KOLs Timeline · 2026-05-24 Cached

A roundup of the top AI papers of the week (May 18-24) covering a survey on code-as-harness for agents, OpenAI's autonomous resolution of the unit distance conjecture, and a memory model for continual learning without forgetting.

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