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 ...

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 ...

China’s models are world-class. On LM Arena, a ranking site, the proprietary models offered by America’s leading AI companies ...

New research from the Data Provenance Initiative has found a dramatic drop in content made available to the collections used to build artificial intelligence. By Kevin Roose Reporting from San ...

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 ...