Nvidia CEO Jensen Huang declared physical AI as enabling “a new era of AI,” a bold proclamation now backed by concrete ...

2025 marks ten years of us writing our Gear of the Year series. This monster of a camera made medium format photography ...

Powered by light, the robots carry computers and can move in complex patterns, say Penn Engineering and University of ...

This was supposed to be the year when autonomous agents took over everyday tasks. The tech industry overpromised and ...

Somewhere at the edge of mathematics lurks a number so large that it breaks the very foundations of our understanding - and ...

Protect your crypto with our essential wallet safety tips. Learn how to secure private keys, avoid hacks, and keep your funds ...

Software engineering is the branch of computer science that deals with the design, development, testing, and maintenance of software applications. Software engineers apply engineering principles and ...

At M.I.T., a new program called “artificial intelligence and decision-making” is now the second-most-popular undergraduate major. By Natasha Singer Natasha Singer covers computer science and A.I.

Abstract: We address the problem of synthesizing human-readable computer programs for robotic object repositioning tasks based on human demonstrations. A stack-based domain specific language (DSL) is ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

The original version of this story appeared in Quanta Magazine. Imagine that someone gives you a list of five numbers: 1, 6, 21, 107, and—wait for it—47,176,870. Can you guess what comes next? If ...