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🧠 Neural Compression

Learned Codecs, AI Compression, Rate-Distortion Theory, Entropy Models

Computational phylogeny of Indo-European
languagelog.ldc.upenn.edu·1d
🔤Morphological Analysis
Why This Old Python Performance Trick Doesn’t Matter Anymore
blog.codingconfessions.com·3h
🚀Compiler Optimizations
The Age of Integrity
schneier.com·1d·
Discuss: Hacker News
🔗Data Provenance
AI fallout: businesses erased people from their visuals
aiandtractors.com·10h·
Discuss: Hacker News
🦋Format Evolution
Challenging projects every programmer should try
austinhenley.com·2d·
Discuss: Hacker News
📝Compiler Design
A case for courage, when speaking of AI danger
lesswrong.com·1d·
Discuss: Hacker News
🎯Threat Hunting
Graphic artists in China push back on AI and its averaging effect
theverge.com·1d
🤖Advanced OCR
An AI Agent That Interprets Papers So You Don’t Have To: Full Build Guide
hackernoon.com·2d
🔬Academic Search
MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation
arxiv.org·4d
🌀Riemannian Computing
Blind Source Separation in Biomedical Signals Using Variational Methods
arxiv.org·4d
🎵Audio ML
Unlasting: Unpaired Single-Cell Multi-Perturbation Estimation by Dual Conditional Diffusion Implicit Bridges
arxiv.org·1d
🌀Riemannian Computing
Scalable Machine Learning Algorithms using Path Signatures
arxiv.org·4d
🧠Machine Learning
Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm
arxiv.org·4d
🧠Machine Learning
[R] [ClsToken, AvgPool] can be a poor choice for transformer embedding models
reddit.com·5d·
Discuss: r/MachineLearning
🌊Streaming Compression
A Caching Strategy for Identifying Bottlenecks on the Data Input Pipeline
towardsdatascience.com·1d
📊Performance Profiling
How I built a Chrome Extension with AI to understand any web page
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
Sequence-to-Sequence Models with Attention Mechanistically Map to the Architecture of Human Memory Search
arxiv.org·4d
📼Cassette Combinators
The Leaderboard Illusion: Is Your Model Smart or Just Well-Studied?
dev.to·1h·
Discuss: DEV
🧪Hardware Fuzzing
Emotion Detection on User Front-Facing App Interfaces for Enhanced Schedule Optimization: A Machine Learning Approach
arxiv.org·3d
🎛️Feed Filtering
Causal discovery in deterministic discrete LTI-DAE systems
arxiv.org·2d
🧠Machine Learning
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