Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Climate scientists are confronting a hard truth: some of the most widely used models are struggling to keep up with the pace ...

As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

World models are the building blocks to the next era of physical AI -- and a future in which AI is more firmly rooted in our reality.

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Salesforce Inc. today announced the open-source release of its in-house family of “large action models,” called xLAM, that it says offer lower cost and higher accuracy than much bigger artificial ...