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🧠 Machine Learning

Information Theory, Compression Bounds, Feature Learning, Neural Networks

"It could easily be shown..." Probability and Pi and the Riemann Zeta Function
pballew.blogspot.com·18h·
Discuss: www.blogger.com
⚔️Lean Theorem
AI and emotion recognition: 'It could disrupt social interactions'
phys.org·8h
🎛️Feed Filtering
mchav/dataframe
github.com·22h
🧠Lisp Dialects
Install Linters, Get Malware
c-b.io·11h·
Discuss: Hacker News
🛡️eBPF Security
Show HN: An API for human-powered browser tasks
browser-work.com·8h·
Discuss: Hacker News
🌐Web Standards
AI Evolves a Winning Strategy in the Prisoner's Dilemma
edwardbrookman.substack.com·9h·
Discuss: Substack
🔲Cellular Automata
The Hater's Guide To The AI Bubble
wheresyoured.at·8h·
Discuss: Hacker News
⚖️Emulation Ethics
The Age of Self-Evolving AI Is Here
towardsdatascience.com·3d
⚡Incremental Computation
Advanced PDF Optimization Techniques - 1753130
dev.to·3h·
Discuss: DEV
📝Text Compression
AortaDiff: Volume-Guided Conditional Diffusion Models for Multi-Branch Aortic Surface Generation
arxiv.org·20h
🌀Differential Geometry
Blind Super Resolution with Reference Images and Implicit Degradation Representation
arxiv.org·20h
📊Learned Metrics
LLMs Are Still in Their Infancy, or Why Programmers Aren't Being Replaced
amatriz.net·1d·
Discuss: Hacker News
💻Local LLMs
Convergent transformations of visual representation in brains and models
arxiv.org·20h
🧠Neural Codecs
Combining model tracing and constraint-based modeling for multistep strategy diagnoses
arxiv.org·20h
🧮Constraint Solvers
WaveletInception Networks for Drive-by Vibration-Based Infrastructure Health Monitoring
arxiv.org·3d
📊Document Wavelets
Information Must Flow: Recursive Bootstrapping for Information Bottleneck in Optimal Transport
arxiv.org·6d
⧗Information Bottleneck
How I Built an AI-Powered Face Recognition App from Scratch
dev.to·19h·
Discuss: DEV
🌊Streaming Algorithms
Tips for Writing Clean Code in TensorFlow 2
hackernoon.com·1d
📊Quantization
An Introduction to GPU Profiling and Optimization
bitsand.cloud·1d·
Discuss: Hacker News, r/programming
📊Performance Profiling
From Neural Network Frustration to Mathematical Innovation
dev.to·3d·
Discuss: DEV
🔢Denotational Semantics
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