Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

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How Emmy Noether's theorem uses the Lagrangian to provide a formula for calculating the quantity of symmetries in a ...

David Lareau, President and CEO of Medicomp Systems, is a healthcare technology executive and entrepreneur with a career ...

Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

This post concludes the three-part survey of musical embodiment—the idea that music isn’t just a mental experience but one that involves our entire body, and how this physical connection shapes our ...

Abstract: Unit commitment (UC) problems are typically formulated as mixed-integer programs (MIP) and solved by the branch-and-bound (B&B) scheme. The recent advances in graph neural networks (GNN) ...

Artificial intelligence (AI) has achieved extraordinary progress in recent years, yet this progress reveals a deep educational and epistemic imbalance. Neural architectures have mastered prediction ...

A semantic knowledge graph that extracts concepts from documents, tracks how well-supported they are, and remembers where sources disagree. κ(G) — vertex connectivity of a graph. The minimum number of ...

In a press release late last month, FCC chairman Brendan Carr said “We must bring meaningful robocall relief to consumers.” In another press release two days later, the commission wrote that “Stopping ...

description [AAAI 2026][Graph Learning][RAG] This paper proposes CogGRAG, a human cognition-inspired knowledge graph-based RAG framework that substantially improves LLM accuracy and reliability on ...