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

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.

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 ...

How will the Model Context Protocol shape AI development? Learn how MCP standardizes data access, enhances context awareness, ...

Autonomous agents will soon run thousands of enterprise workflows, and only organizations with unified, trusted, context-rich ...

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

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

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 find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...