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Information Theory coverage.

Every story in the WeSearch catalog tagged with #information-theory, chronological, with view counts. Subscribe to the per-tag RSS feed to follow this topic in your reader of choice.

9 stories tagged with #information-theory, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.

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#ai5#ml4#ai-history1#generative-ai1#cognitive-bias1#networking1#statistics1#probability1#deep-learning1#consciousness1#computational-limits1
ARXIV.ORG

Why the Brain Cannot Be a Computer

This paper presents a novel information-theoretic proof demonstrating that the human brain as currently understood cannot function as a classical digital computer. Through systemat…

23 views ·
#consciousness#computational limits
R/PHYSICS

Can we explain the "infinite time dilation" of DMT/NDEs using information theory and hyper-gamma brainwaves?

16 views ·
MEDIUM

Shannon Got AI This Far. Kolmogorov Shows Where It Stops

Shannon Got AI This Far. Kolmogorov Shows Where It Stops. This post previewed a conversation I recorded with Martin Casado for the a16z podcast. The ideas here came up in that disc…

15 views ·
#artificial intelligence#deep learning
WIKIPEDIA

Jensen–Shannon Divergence

12 views ·
#statistics#probability
ARXIV CS.AI

Neural Estimation of Pairwise Mutual Information in Masked Discrete Sequence Models

Understanding dependencies between variables is critical for interpretability and efficient generation in masked diffusion models (MDMs), yet these models primarily expose marginal…

21 views ·
#machine learning#artificial intelligence
ARXIV CS.AI

Lost and Found in Translation: Variational Diagnostics for Neural Codebook Channels

Classical communication systems fail not only through random noise but also when transmitter and receiver use incompatible operational codebooks. Variational autoencoders (VAEs) tr…

17 views ·
#machine learning#artificial intelligence
ARXIV CS.AI

Learning Selective Merge Policies for Deadline-Constrained Coded Caching via Deep Reinforcement Learning

With the coded caching, the server can use the information the users have cached to serve multiple users at a time by sending a single coded multi-casting message, i.e., the merged…

13 views ·
#artificial intelligence#networking
ARXIV CS.AI

PrismQuant: Rate-Distortion-Optimal Vector Quantization for Gaussian-Mixture Sources

For a Gaussian source under mean-squared error (MSE), classical transform coding is rate--distortion (RD) optimal: the Karhunen--Loeve transform (KLT) diagonalizes the covariance, …

16 views ·
#machine learning#artificial intelligence
THECONTENTWRANGLER

What Claude Shannon Knew in 1950 That We're Pretending Is New

AI didn’t arrive yesterday; it just changed its outfit…

19 views ·
#ai history#machine learning