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

MIT researchers have developed a reinforcement learning method, RLCR, that trains AI models to provide calibrated confidence estimates alongside answers, reducing overconfidence by up to 90% without ...

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 ...

Mira Murati's Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by ...

Explore the 10 best generative AI courses to take in 2026, with options for hands-on training, certifications, and practical ...

MIT scientists showed that certain mathematical ideas from everyday classical physics can be used to describe the often weird and nonintuitive behavior that occurs at the quantum, subatomic scale.

Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models ...

Harnessing heat generated by a device itself, microscopic silicon structures could lead to more energy-efficient thermal ...

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...

The hybrid system utilizes deep reinforcement learning, a powerful artificial intelligence method for solving complex ...

In the past 18 months, the FDA has outlined clear guidelines for designing, documenting, updating, and monitoring AI-powered ...