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 ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

Disney has filed a new patent for a system that uses cameras and machine learning to automatically verify that ride ...

Welcome to Eye on AI, with AI reporter Sharon Goldman. In this edition: Top Republican pushes party to shun $300 million AI ...

Scientists say they've made a key breakthrough that would allow robots to figure out complex tasks on their own — but experts ...

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

A ball tossed into the air follows a path that classical physics can track with confidence. Shrink that ball down to the size ...

Quicker and smarter computing is helping society limit animal suffering, improve welfare and restore natural ecosystems in ...

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

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

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

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