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 ...

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

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

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...

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

A peculiar scarcity is beginning to take shape in the world of advanced technologies. Despite the ever-increasing amount of data generated from social media posts, from e-commerce transactions to ...

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 ...

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 ...