Common feature between forest fires and neural networks reveals universal framework
phys.org·2d
🧠Machine Learning
Open source microprocessors with Jan Pleskac
opensourcesecurity.io·7h
🔬Hardware Forensics
Accountability
fffej.substack.com·12h·
Discuss: Substack
🔗Data Provenance
mchav/dataframe
github.com·6h
🧠Lisp Dialects
Reinforcement Learning with Nvidia NeMo-RL
nvidia-nemo.github.io·1d·
Discuss: Hacker News
📊Quantization
Meet the Hybrid Tester: The Future of QA in the Age of AI
devops.com·2d
🔍Concolic Testing
Tokens: The New Oil or Engineering in Spite of Scarcity
tidyfirst.substack.com·1d·
Discuss: Substack
🔍BitFunnel
OpenAI's experimental model achieved gold at the International Math Olympiad
engadget.com·1d
📐Proof Assistants
The New Distribution Game: Building Products for Agents, Not Users
productcurious.com·45m·
Discuss: Hacker News
🌊Streaming Systems
From Linear Regression to XGBoost: A Side-by-Side Performance Comparison
machinelearningmastery.com·2d
🧠Machine Learning
Automated Novelty Evaluation of Academic Paper: A Collaborative Approach Integrating Human and Large Language Model Knowledge
arxiv.org·5d
🧭Content Discovery
COLI: A Hierarchical Efficient Compressor for Large Images
arxiv.org·5d
🧠Neural Compression
AI for Explosive Ordnance Detection in Clearance Operations: The State of Research
arxiv.org·4d
🎯Threat Hunting
Machine Learning Fundamentals: dropout project
dev.to·2d·
Discuss: DEV
🌊Stream Processing
On METR's AI Coding RCT
thezvi.substack.com·2d·
Discuss: Substack
📏Code Metrics
Measuring and predicting visual fidelity
arxiv.org·4d
🌈Color Science
Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow
towardsdatascience.com·2d
📊Learned Metrics
[R][D] Interpretability as a Side Effect? Are Activation Functions Biasing Your Models?
reddit.com·4d·
Discuss: r/MachineLearning
📊Learned Metrics
Advanced PDF Optimization Techniques - 1752936
dev.to·1d·
Discuss: DEV
📝Text Compression
Introduction: AI Terminology
dev.to·4d·
Discuss: DEV
🤖Grammar Induction