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.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In past roles, I’ve spent countless hours trying to understand why state-of-the-art models ...

This course explores the field of Explainable AI (XAI), focusing on techniques to make complex machine learning models more transparent and interpretable. Students will learn about the need for XAI, ...

French artificial intelligence firm Mistral is on Tuesday launching its first reasoning model to compete with rival options from the likes of OpenAI and China's DeepSeek. "We're announcing in a couple ...

The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO 2 methanation, in particular, has drawn increasing interest due to its favorable ...

Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.