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 ...

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, ...

As AI tools enter clinical and population health research, this paper warns that speed alone is not enough, and shows why expert oversight, causal logic, and transparent workflows remain essential for ...

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 Mathematics in Computation Section at Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for the Alston S. Householder Fellowship in mathematics and scientific computing.

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 ...