AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to solve complex problems more reliably, particularly those that require ...

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

Labeling and annotation are the foundation of context setting and the invisible backbone of AI, which are quietly shaping the ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

Experts gave AI 10 math problems to solve in a week. OpenAI, researchers and amateurs all gave it their best shot ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

The goal of the partnership is to develop synthetic datasets to train vision language action models on various experimental workflows ...

When making decisions and judgments, humans can fall into common "traps," known as cognitive biases. A cognitive bias is ...

Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining ...