Open Science round-up: The future of knowledge and who should control it - International Science Council
council.science·4h
🧲Magnetic Philosophy
Observe live SQL queries in Go with DTrace
gaultier.github.io·1d·
Discuss: r/golang
🧩SQLite Extensions
How to calibrate a large-scale agent-based model?
mcrcsm.substack.com·1d·
Discuss: Substack
🧮Kolmogorov Bounds
Disaggregation: A New Architecture for Cloud Databases
muratbuffalo.blogspot.com·3d·
Discuss: Hacker News
🗄️Database Sharding
Reversing the licensing on a Quantum Scalar i40
blackjack.codes·20h·
Discuss: Hacker News
🔌Operating system internals
On discourse and decentralisation
connectedplaces.online·1d·
Discuss: Hacker News
🤝Distributed Consensus
The bloat of edge-case first libraries
43081j.com·2d·
Discuss: Lobsters, Hacker News, r/programming
🧪Binary Fuzzing
Understanding Log Events: Why Context Is Key
thenewstack.io·16h
👁️Observatory Systems
STRIDE: Scalable and Interpretable XAI via Subset-Free Functional Decomposition
arxiv.org·6h
🧠Intelligence Compression
Dynamically Weighted Governance Simulation for Enhanced Organizational Resilience
dev.to·1d·
Discuss: DEV
🔲Cellular Automata
A simple clustering and replication solution for Postgres
enterprisedb.com·1h·
Discuss: Hacker News
🧬PostgreSQL Forensics
Quantize Your Vectors, Speed Up Your Java AI Applications
dev.to·3d·
Discuss: DEV
🗂️Vector Databases
Automated Semantic Disentanglement of Hierarchical Visual Features for Pattern Recognition
dev.to·1d·
Discuss: DEV
🤖Advanced OCR
Show HN: Pgdbtemplate – fast PostgreSQL test databases in Go using templates
github.com·1d·
Discuss: Hacker News
🔍Concolic Testing
How I Log ESPHome Device Data to CSV with Python (and Why You Should Too)
dev.to·1d·
Discuss: DEV
📲syncthing
Unidimensional semi-discrete partial optimal transport
arxiv.org·1d
📐Compression Bounds
Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening
arxiv.org·1d
📊Learned Metrics
Visual Programmability: A Guide for Code-as-Thought in Chart Understanding
arxiv.org·6h
⟷Bidirectional Programming
Smarter Tuning: LLMs Automate Hyperparameter Magic
dev.to·2h·
Discuss: DEV
💻Local LLMs
Low-Resource Fine-Tuning for Multi-Task Structured Information Extraction with a Billion-Parameter Instruction-Tuned Model
arxiv.org·1d
📋Document Grammar