Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...

MIT postdoctoral associate Arunav Kumar discusses his work on magnetohydrodynamic stability, plasma control in tokamaks, and ...

A wildfire forecasting system powered by artificial intelligence was around 30% better at identifying dangerous fire ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

In a National Institutes of Health (NIH)-funded study, researchers developed a cancer assessment tool that can identify high-risk patients and the tumor cells linked to that risk.

Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too ...

Landslide risk is rising as extreme rainfall intensifies. New tools using satellite data and AI can help map where failures ...

Alphabet is deepening a push into enterprise software, signaling to investors at Google's annual cloud conference that AI ...

New research shows that AI language models can develop a mathematical “understanding” that differentiates between events that ...

GBH Morning Edition host Mark Herz spoke with MIT computer science professor Marzyeh Ghassemi about AI's use in medicine.

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...