Larger models can pull off a wider variety of feats, but the reduced footprint of smaller models makes them attractive tools.

Without clear protocols to catch errors, artificial intelligence’s growing role in science could do more harm than good.

Researchers discover that the most advanced AI models may lie to their users when under pressure. Large artificial ...

allowing the model to learn complex patterns and relationships—a process that can be slow and limited in application. So Yian ...

Researchers from chemistry, biology, and medicine are increasingly turning to AI models to develop new hypotheses. However, it is often unclear on which basis the algorithms come to their conclusions ...

A study published in Patterns looks at potential patient harms linked to the use of AI medical outcome prediction models. Professor Peter Bannister, Fellow and Healthcare expert at the Institution of ...

When an AI model secretly relies on a hint or shortcut while constructing an elaborate but fictional explanation for its answer, it essentially fabricates a false reasoning narrative—a little like a ...

The Siegert group at the Institute of Science and Technology Austria (ISTA) presents a new organoid model that reveals ...

In a report released on April 10th, the International Energy Agency estimates that widespread industrial application of such ...

“Using only 10% of the input data from existing systems, Aardvark already outperforms the Global Forecast System (GFS) and is ...

Adding to the confusion is that AI models are often promoted based on industry benchmarks. But these technical metrics often reveal little about how real people and companies actually use them.