Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

In a comment published in Nature Climate Change, Mark Bradford, the E.H. Harriman Professor of Soils and Ecosystem Ecology, ...

Participants in a new study were more likely to cheat when delegating to AI—especially if they could encourage machines to ...

A merican philosopher John Searle, widely known for his famous "Chinese room" argument produced in 1980, has died aged 93, ...

Overview: Entry-level data science jobs often include roles like data analyst, junior data scientist, and machine learning ...

“I became the coolest grandpa in the world,” he jokes, noting that several of his grandchildren have since gotten into robotics themselves. Soon after, he found himself bringing droids to hospitals, ...

DMT, or dimethyltryptamine, is a natural psychoactive molecule found in many plants and mammals. According to an article ...

The ALICE Collaboration is a winner of the 2025 Gizmodo Science Fair for transforming lead into gold for a fraction of a ...

The programme is designed for aspiring data scientists, AI enthusiasts, technology professionals seeking to upskill.

From CASP to the Virtual Cell Challenge, researchers are leveraging science competitions and high-risk, high-reward grants to ...

Artificial intelligence-powered large language models (LLM) need to be trained on massive datasets to make accurate ...