Rapidly expanding artificial-intelligence capabilities helped erase $300 billion in market value on Tuesday.

A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various disease risk signals, including identifying brain age, predicting dementia risk,

While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the Polymathic AI collaboration are trained using real scientific datasets. The models are already using knowledge from one field to address seemingly completely different problems in another.

At a moment when the AI industry is obsessed with bigger models and higher scores, Professor Ganna Pogrebna opened the inaugural Behavioral AI Institute webinar with a provocation that cut against the grain.

What makes a large language model like Claude, Gemini or ChatGPT capable of producing text that feels so human? It’s a question that fascinates many but remains shrouded in technical complexity. Below, the team at Learn That Stack breaks down how these ...

ALSO: Tom’s new book Artificial Intelligence for Urban Planning was recently published by Routledge. The book discusses how planners can effectively use AI in their daily practices, engage constructively with technical specialists, and critically assess the appropriateness of these technologies in different planning contexts. Check it out.

Genspark AI automates research and content with Super Agent. Discover how this no-code AI workspace works without a token.

Hong Kong University of Science and Technology unveils DDMS AI system, boosting extreme weather forecasting accuracy and lead time for Hong Kong and China.

WRAL meteorologists Elizabeth Gardner and Grant Skinner break down the ingredients of predictive weather models, explaining why they sometimes contradict one another, and how WRAL meteorologists use the data — as well as their own insight — to refine forecasts.