What’s the secret to prompting an AI to solve math problems that have left humans stumped? Tell it to believe in itself ...

Overview:  Compares the leading Python frameworks for building autonomous AI agents in 2026.Explains where LangGraph, CrewAI, Microsoft Agent Framework, Go ...

Alibaba's SkillWeaver framework routes AI agents through massive tool libraries with 99% less token consumption. Here's how ...

Introduction Osteoarthritis is the second most prevalent musculoskeletal disorder and mostly affects hip and knee joints. Movement behaviours have been associated with the incidence of osteoarthritis.

A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...

Julia's most-starred open-source package crossed a milestone last week that researchers and educators had long been waiting for: Pluto.jl, the reactive notebook environment for scientific computing, ...

The fastest Python implementation of the ForceAtlas2 graph layout algorithm, with Cython optimization for 10-100x speedup. Supports NetworkX, igraph, and raw adjacency matrices. ForceAtlas2 is a force ...

The microbiome represents a complex community of trillions of microorganisms residing in various body parts and plays critical roles in maintaining host health and wellbeing. Understanding the ...

In this tutorial, we implement an advanced graph-based AI agent using the GraphAgent framework and the Gemini 1.5 Flash model. We define a directed graph of nodes, each responsible for a specific ...

In this tutorial, we demonstrate how to construct an automated Knowledge Graph (KG) pipeline using LangGraph and NetworkX. The pipeline simulates a sequence of intelligent agents that collaboratively ...

A PyTorch implementation of the DeFoG model for training and sampling discrete graph flows. (Please update to the latest commit. Recent fixes have been applied.) Working with directed graphs? Consider ...