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 ...

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 ...

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: ...

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 ...

The music industry is in the grip of an intensifying debate over how AI-generated derivatives of existing music should be ...

Target identification is the first and perhaps most critical step in drug discovery and development. Although the human genome contains roughly 20,000 protein-coding genes, only about 4,500 are ...

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

Roaring over long distances is a key behaviour of lions. They communicate within prides as well as with other animals using distinct sequences of ...