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🔢 SIMD Programming

Vectorization, Parallel Computing, CPU Optimization, Intrinsics

original ↗
computer.rip·1d·
Discuss: Lobsters, Hacker News
📡Network Protocols
Is Germany on the Brink of Banning Ad Blockers?
blog.mozilla.org·2d·
Discuss: Lobsters, Hacker News, r/browsers
🕸️WebAssembly
Nesting Git Repositories
nixpulvis.com·2d·
Discuss: Lobsters
🕸️WebAssembly
MadeYouReset: Turning HTTP/2 Server Against Itself
imperva.com·3d·
Discuss: Lobsters, r/programming
🕸️WebAssembly
That 16 Billion Password Story (AKA "Data Troll")
troyhunt.com·4d·
Discuss: Lobsters, Hacker News
🔒Hardware Security
OpenSSH Post-Quantum Cryptography
openssh.com·6d·
Discuss: Lobsters, Hacker News, r/linux
🔒Hardware Security
BigTokDetect: A Clinically-Informed Vision-Language Model Framework for Detecting Pro-Bigorexia Videos on TikTok
arxiv.org·5d
🦾Rust ML
Leveraging GNN to Enhance MEF Method in Predicting ENSO
arxiv.org·5d
🕯️Candle
Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift
arxiv.org·5d
🤖AI
Robust Reinforcement Learning over Wireless Networks with Homomorphic State Representations
arxiv.org·5d
🌍Distributed Systems
Do Ethical AI Principles Matter to Users? A Large-Scale Analysis of User Sentiment and Satisfaction
arxiv.org·6d
🤖AI
Thoughts on extrapolating time horizons
lesswrong.com·6d
🤖AI
ClimateSOM: A Visual Analysis Workflow for Climate Ensemble Datasets
arxiv.org·5d
🦾Rust ML
Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG
arxiv.org·5d
🕯️Candle
Touch Speaks, Sound Feels: A Multimodal Approach to Affective and Social Touch from Robots to Humans
arxiv.org·5d
🤖AI
Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets
arxiv.org·5d
🕯️Candle
Intersectoral Knowledge in AI and Urban Studies: A Framework for Transdisciplinary Research
arxiv.org·5d
🎨Computer Graphics
Books, teachings, and maps
lesswrong.com·4d
📈Graph Algorithms
Measuring intelligence and reverse-engineering goals
lesswrong.com·6d
🤖AI
Comparing Knowledge Injection Methods for LLMs in a Low-Resource Regime
arxiv.org·6d
🕯️Candle
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