AINeutralarXiv – CS AI · 10h ago6/10
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Neural Information Causality
Researchers present Neural Information Causality (Neural-IC), a theoretical framework that formalizes how neural network representations function as communication channels under query-separated computation. The work establishes operational bounds on information leakage through bottlenecks and demonstrates that quantum advantages in specific architectures depend on fair query-conditioned access rather than total information capacity.
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