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 ...

The organisations seeing real value from AI aren’t skipping steps, they’re getting the fundamentals right first.

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

GBH Morning Edition host Mark Herz spoke with MIT computer science professor Marzyeh Ghassemi about AI's use in medicine.

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 ...

YouTubers are obsessed with this 3D printer "hack," but it's not worth the effort because influencers won't admit these are ...

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

According to CEO Helen Gu, the biggest problem facing the industry today is not just monitoring and diagnosing where AI ...

Quantum computing challenges our old assumptions about what machines can and cannot do. How will it transform intelligence, ...

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...

The competition for talent between Wall Street and Silicon Valley has been building for years. But over the past eighteen ...