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 ...

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

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.

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

Explore how AI frameworks are reshaping enterprise innovation in 2026, enabling scalable solutions, faster decision-making, ...

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: ...

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

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

For many years, a dominant view in neuroscience was that neurons in the inferotemporal (IT) cortex—a critical center in the ...

The tie-up to accelerate AI applications in the financial sector aims to smoothen processes now being done manually. Read ...