Unveiling the Secrets of Data Grouping: A Deep Dive into Hierarchical Clustering and DBSCAN
dev.to·5h·
Discuss: DEV
🌊Spectral Clustering
Classification of the Approaches to the Technological Resurrection
academia.edu·22h·
Discuss: Hacker News
🌡️Preservation Physics
Automated Creation of the Legal Knowledge Graph Addressing Legislation on Violence Against Women: Resource, Methodology and Lessons Learned
arxiv.org·3h
📊Citation Graphs
Trying to decide on building a NAS
pcpartpicker.com·9h·
Discuss: r/homelab
🏺ZIP Archaeology
Predicted impact of LLM use on developer ecosystems
shape-of-code.com·9h
🔄Language Evolution
Last Week on My Mac: Spotlight sorcery
eclecticlight.co·1d
🍎Apple Archive
The rise and fall of Bayesian statistics
statmodeling.stat.columbia.edu·18h
📐Information Geometry
Dense Associative Memory for Pattern Recognition (2016)
proceedings.neurips.cc·7h·
Discuss: Hacker News
🧠Machine Learning
Geometric-k-means: A Bound Free Approach to Fast and Eco-Friendly k-means
arxiv.org·3h
🧮Kolmogorov Complexity
Certificate Transparency - Part 2 - Sunlight
ipng.ch·19h
🌳Archive Merkle Trees
What if your cloud storage had wings?
dev.to·36m·
Discuss: DEV
⚡Redis Internals
Hyperdimensional Semantic Graph Analysis for Automated Scientific Knowledge Graph Construction
dev.to·18h·
Discuss: DEV
📋Document Grammar
AI-powered news aggregation platform
northcodic.blogspot.com·3d·
Discuss: Hacker News
📡RSS Automation
MCP vs A2A - A Complete Deep Dive
hackernoon.com·14h
🔌Interface Evolution
Blog Article:
dev.to·7h·
Discuss: DEV
📰Feed Readers
Demystifying Cosine Similarity
towardsdatascience.com·2d
📐Vector Similarity
Automated Isotope Fractionation Analysis via Hyperdimensional Semantic Mapping
dev.to·13h·
Discuss: DEV
📜Binary Philology
We Need More Databases
danthegoodman.substack.com·12h·
Discuss: Substack
🏺Database Archaeology
[D] In 2025, what is a sufficient methodology to analyze document summaries generated by LLMs? BERTScore, G-Eval, Rogue, etc
reddit.com·3d·
Discuss: r/MachineLearning
🏰Medieval Parsing
Domain-Specific Fine-Tuning and Prompt-Based Learning: A Comparative Study for developing Natural Language-Based BIM Information Retrieval Systems
arxiv.org·3h
🔍Information Retrieval