Read more: Common species vital for stability of food webs, study shows
swissinfo.ch·6h
📰Feed Readers
Thinking Thursday: Circles in Circles
denisegaskins.com·3h
📐Mathematical Art
Demystifying the SQLcl MCP Server
hartenfeller.dev·16h
📞Session Types
Build Your Own Simple Data Pipeline with Python and Docker
kdnuggets.com·2h
🔄Archive Workflows
A PhD's Apology
cappadokes.github.io·1d·
Discuss: Hacker News
🧮Theoretical Computer Science
Physics-Informed Linear Model (PILM): Analytical Representations and Application to Crustal Strain Rate Estimation
arxiv.org·12h
🌀Differential Geometry
Protocols for Verifying Smooth Strategies in Bandits and Games
arxiv.org·1d
🎯Performance Proofs
Machine Learning Fundamentals: decision trees tutorial
dev.to·1d·
Discuss: DEV
🧠Machine Learning
Kiro and the future of AI spec-driven software development
kiro.dev·1d·
Discuss: Lobsters, Hacker News
🔌Interface Evolution
ShopSmart AI - Revolutionary E-commerce Search with Algolia MCP Server
dev.to·1d·
Discuss: DEV
👤Search Personalization
Everyone knows what a horse is: What we got wrong about universal translators
nimishg.substack.com·8h·
Discuss: Substack
💻Programming languages
Understanding the Basics: Linear Equations and Matrices
dev.to·15h·
Discuss: DEV
📐Linear Algebra
Using Large Language Models for Legal Decision-Making in Austrian Value-Added Tax Law: An Experimental Study
arxiv.org·3d
🔗Constraint Handling
HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training
arxiv.org·1d
🌳Context free grammars
🛡️ Paladin-mini: Open-Source Grounding Model That Actually Works in Production
dev.to·5h·
Discuss: DEV
⚡Proof Automation
Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats
arxiv.org·1d
🔲Cellular Automata
COLIBRI Fuzzy Model: Color Linguistic-Based Representation and Interpretation
arxiv.org·1d
🌈Color Science
Machine Learning Fundamentals: decision trees with python
dev.to·1d·
Discuss: DEV
🔗Topological Sorting
MediaMind AI - Intelligent Content Discovery Platform with Algolia MCP Server
dev.to·1d·
Discuss: DEV
🧭Content Discovery
From Equal Weights to Smart Weights: OTPO’s Approach to Better LLM Alignment
towardsdatascience.com·1d
🧮Kolmogorov Bounds