AI is powering the search for America's critical minerals

They power green energy, enhance defense systems, and drive the future of microelectronics. Known as critical minerals, ...
InfoWorld

The dawn of the AI-native database

With agentic AI, the database must evolve from a passive ledger to an active reasoning engine that informs, guides, and ...
Edutopia

How Meditation Helps Me Teach a Tricky Physics Concept

Physics can feel inscrutable to students; this lesson helps them understand a graphing problem by analyzing their own ...
IEEE

Summary Graph Induced Invariant Learning for Generalizable Graph Learning

Abstract: As a promising strategy to achieve generalizable graph learning tasks, graph invariant learning emphasizes identifying invariant subgraphs for stable predictions on biased unknown ...
marktechpost

Graph-R1: An Agentic GraphRAG Framework for Structured, Multi-Turn Reasoning with Reinforcement Learning

Large Language Models (LLMs) have set new benchmarks in natural language processing, but their tendency for hallucination—generating inaccurate outputs—remains a critical issue for knowledge-intensive ...
IEEE

Multiview Graph Learning With Consensus Graph

Abstract: Graph topology inference is a significant task in many application domains. Existing approaches are mostly limited to learning a single graph assuming that the observed data is homogeneous.
marktechpost

Graph Generative Pre-trained Transformer (G2PT): An Auto-Regressive Model Designed to Learn Graph Structures through Next-Token Prediction

Graph generation is an important task across various fields, including molecular design and social network analysis, due to its ability to model complex relationships and structured data. Despite ...