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 ...

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 ...

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

The U.S. Army announced the creation of a data operations center at Aberdeen Proving Ground in an effort to centralize ...

As Anthropic’s Mythos signals a shift to unprecedented machine-speed vulnerability discovery, EPSS is gaining renewed ...

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

Overview Mira Murati has moved from leading core products like ChatGPT at OpenAI to building a Thinking Machines Lab.Sophia ...

Explore what the current situation in Maine reveals about the future of AI infrastructure, as Neel Somani highlights energy ...

As Bharat goes digital on its own terms, brands face a new reality: loyalty is functional, trust is earned in use, and ...

Supply chain risk conversations tend to focus on the obvious categories. Companies talk about tariffs, geopolitical disruption, single-source dependencies, and logistics bottlenecks. Far less ...

New study finds ‘alarming’ high flood risk for 17 million Americans on Atlantic and Gulf coastsAP Science WriterThe Associated PressWASHINGTONOne of the most comprehensive studies ever of flood risk h ...