A full-stack AI system that automatically extracts entities and relationships from large email datasets, builds a semantic knowledge graph, and provides intelligent hybrid retrieval-augmented ...

Explore Python Physics Lesson 8 and discover how energy shapes orbits with clear, step-by-step graphs and simulations. This lesson explains the relationship between kinetic and potential energy in ...

Abstract: This work introduces a generalization of the leader–first follower (LFF) graph structure for solving the bearing-only formation control problem on directed graphs. The first contribution ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

LangGraph Multi-Agent Swarm is a Python library designed to orchestrate multiple AI agents as a cohesive “swarm.” It builds on LangGraph, a framework for constructing robust, stateful agent workflows, ...

Abstract: Vertex-frequency analysis (VFA) is a useful technique in graph signal processing to extract the correspondence between frequencies and vertices. VFA can be calculated by the windowed graph ...

The CMS has submitted a proposed regulation to the Office of Management and Budget for review that may signal a coming overhaul of controversial financing mechanisms that allow states to draw more ...

Directed graphs and their afferent/efferent capacities are produced by Markov modeling of the universal cover of undirected graphs simultaneously with the calculation of volume entropy. Using these ...