Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...

This year’s coveted Tao Li Award has gone to Jundong Li, an associate professor of electrical and computer engineering and computer science at the University of Virginia. Li, feeling “genuinely ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

RPG Larian's head writer has a simple answer for how AI-generated text helps development: 'It doesn't,' thanks to its best output being 'a 3/10 at best' worse than his worst drafts Graphics Cards 'It ...

Calix Agentic Broadband Platform, Built on Google Cloud’s AI and Data Infrastructure, Will Deliver Breakthrough Innovation for Providers To Lead in the AI Era In its most transformative release to ...

In its most transformative release to date, Calix announces its next-generation cloud-and-agentic enabled Broadband Platform built on Google Cloud’s AI and data infrastructure. This evolution unites ...

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 ...

CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ is a senior reporter ...

In modern drug discovery, generative molecular design models have greatly expanded the chemical space available to researchers, enabling rapid exploration of new compounds. Yet, a major challenge ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph neural networks for crystal property prediction typically require precise atomic ...