I recently witnessed how scary-good artificial intelligence is getting at the human side of computer hacking, when the ...

Most of what AI chatbots know about the world comes from devouring massive amounts of text from the internet—with all its ...

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

Modern robotics has reached a point where movement is no longer the main challenge – machines can already navigate, grasp, and operate in space with impressive precision. Yet enabling them to truly ...

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 ...

Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...

Engineers develop a system that captures all the elements of trial and error in material design, enabling reliable ...

Information is where the opportunity lies, but it is also where many industrial digital transformation programs fail.

CAMBRIDGE, Mass. and CAMBRIDGE, England, April 21, 2026 /PRNewswire/ -- As AI accelerates across biopharma and other science-driven industries, organizations are encountering a critical bottleneck: ...

Using CRISPR, multiomics, and machine learning, molecular biologist Larschan unravels the mysteries of the X chromosome.

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