Announcing Library of Congress Leadership for the FADGI Still Image Working Group
blogs.loc.gov·1d
📄Document Digitization
Merritt Digital Preservation Repository – August 2025
cdlib.org·15h
📦METS Containers
Using Units in Emacs Calc
n16f.net·30m
📐Arithmetic Precision
Project MiniNAS
jadarma.github.io·10h·
Discuss: Hacker News
💿ZFS Archaeology
No AI Silver Bullet
smartmic.bearblog.dev·14h·
Discuss: Hacker News
📏Code Metrics
Show HN: PyTorch K-Means GPU-friendly, single-file, hierarchical and resampling
news.ycombinator.com·50m·
Discuss: Hacker News
🌊Streaming Algorithms
Regarding formatting issues with AI-generated copy
dev.to·2d·
Discuss: DEV
✅Format Verification
Tsunami modeling with dynamic seafloors: a high-order solver validated with shallow water benchmarks
arxiv.org·6h
📼Tape Combinators
Enhancing AI Accuracy: 6 Contributions of Machine Learning
dev.to·1d·
Discuss: DEV
🧠Machine Learning
MMCIG: Multimodal Cover Image Generation for Text-only Documents and Its Dataset Construction via Pseudo-labeling
arxiv.org·3d
👁️OCR Verification
Agri-Query: A Case Study on RAG vs. Long-Context LLMs for Cross-Lingual Technical Question Answering
arxiv.org·3d
⚙️Compression Benchmarking
End to End Autoencoder MLP Framework for Sepsis Prediction
arxiv.org·2d
🧠Machine Learning
Why Relational Graphs Will Save the Next Generation of Vision Foundation Models?
arxiv.org·2d
🌀Differential Geometry
What Matters in Data for DPO?
arxiv.org·2d
🛡️Differential Privacy
Neural Spline Operators for Risk Quantification in Stochastic Systems
arxiv.org·6h
🧮Kolmogorov Bounds
Reliable Weak-to-Strong Monitoring of LLM Agents
arxiv.org·1d
🎯Threat Hunting
DAY: 5 - In Python all list method operators and slicing:
dev.to·4h·
Discuss: DEV
🧬Functional Programming
Epistemic Trade-Off: An Analysis of the Operational Breakdown and Ontological Limits of "Certainty-Scope" in AI
arxiv.org·1d
⚙️Proof Engineering
Automated Landfill Detection Using Deep Learning: A Comparative Study of Lightweight and Custom Architectures with the AerialWaste Dataset
arxiv.org·2d
🌀Riemannian Computing
Breaking the Black Box: Inherently Interpretable Physics-Informed Machine Learning for Imbalanced Seismic Data
arxiv.org·2d
🧠Machine Learning