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

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

Hyperscale data centers are now powering AI models with a revolutionary architecture—at a staggering energy cost.

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

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 ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Large language models (LLMs) are wholly dependent on the quality of the input data with which these models are trained. While suggestions that people eat rocks are funny to you and me, in the case of ...

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

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 ...