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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·10h
🚀Compiler Optimizations
The Age of Integrity
schneier.com·1d·
Discuss: Hacker News
🔗Data Provenance
What Is a Number?
idrisschebak.com·1h·
Discuss: Hacker News
📐Mathematical Art
AI fallout: businesses erased people from their visuals
aiandtractors.com·16h·
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
[R] [ClsToken, AvgPool] can be a poor choice for transformer embedding models
reddit.com·5d·
Discuss: r/MachineLearning
🌊Streaming Compression
Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm
arxiv.org·4d
🧠Machine Learning
Weighted Mean Frequencies: a handcraft Fourier feature for 4D Flow MRI segmentation
arxiv.org·2d
🌀Riemannian Computing
Causal discovery in deterministic discrete LTI-DAE systems
arxiv.org·2d
🧠Machine Learning
LoLA-SpecViT: Local Attention SwiGLU Vision Transformer with LoRA for Hyperspectral Imaging
arxiv.org·4d
⧗Information Bottleneck
The Rise of Vibe Coding
dev.to·1d·
Discuss: DEV
🔄Language Evolution
Top 17 Deep Learning Architectures: Your Essential Resource List
dev.to·6d·
Discuss: DEV
🤖Advanced OCR
Difference Between Conversational AI and Generative AI
dev.to·1d·
Discuss: DEV
🎙️Whisper
Gradient Descent on Token Input Embeddings: A ModernBERT experiment
dev.to·5d·
Discuss: DEV
📊Learned Metrics
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