How the Math That Powers Google Foresaw the New Pope
scientificamerican.com·1d
⚖️Feed Ranking
A small rant about compression
codecs.multimedia.cx·4d
📦Deflate
Announcing coreboot 25.09 release
blogs.coreboot.org·1d
🔌Operating system internals
Experiments with AI Adblock
notes.npilk.com·3d·
Discuss: Hacker News, Hacker News
🤖AI Curation
Let’s talk about LLM guardrails
blog.adnansiddiqi.me·1d·
Discuss: Hacker News
🎯Proof Tactics
Trusted Execution Environments? More Like "Trust Us, Bro" Environments
libroot.org·2d·
Discuss: Hacker News
🛡️RISC-V Security
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
arxiviq.substack.com·3d·
Discuss: Substack
💻Local LLMs
Time-reassigned synchrosqueezing frequency-domain chirplet transform for multicomponent signals with intersecting group delay curves
arxiv.org·4d
📡Frequency Archaeology
Data-Error Scaling Laws in Machine Learning on Combinatorial Mutation-prone Sets: Proteins and Small Molecules
arxiv.org·2d
🧮Kolmogorov Complexity
Accelerated Cold Tolerance Breeding via Multi-Modal Phenotyping and Genome-Wide Predictive Modeling
dev.to·22h·
Discuss: DEV
☕Precision Brewing
Welcome to the ‘papers, please’ internet
theverge.com·7h·
Discuss: Hacker News
🛡Cybersecurity
MMM: Quantum-Chemical Molecular Representation Learning for Combinatorial Drug Recommendation
arxiv.org·2d
🕸️Tensor Networks
Quantifiable Neuro-Architectural Resonance: Predictive Modeling of Healing Space Efficacy via Biofeedback Integration
dev.to·22h·
Discuss: DEV
📊Spectrograms
Tech With Tim: Why 1M People Tried This AI Coding Tool (Full Vibe Coding Tutorial)
dev.to·1h·
Discuss: DEV
🌀Brotli Internals
The minefield of classifier training
dev.to·4d·
Discuss: DEV
📊Learned Metrics
PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation
arxiv.org·2d
🧠Machine Learning
Enhancing Synthetic Data Generation via Adaptive Kernel Density Estimation with Bayesian Optimization
dev.to·3d·
Discuss: DEV
🧠Machine Learning
HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation
arxiv.org·2d
⚡Proof Automation
How to Teach Large Multimodal Models New Skills
arxiv.org·2d
📊Learned Metrics
GNN Blind Spots: The Hidden Cost of Powerful Graph Models
dev.to·1d·
Discuss: DEV
🕸️Graph Embeddings