The code can improve itself, but humans will still be responsible for understanding why something changed and whether it should have changed at all.

While the U.S. chases breakthroughs, China is betting on scale, speed, and real-world adoption—and that may prove decisive in the AI race.

From compute and talent to energy and revenue, six charts show where the U.S. leads China in AI—and why that lead could prove ...

Coursera data shows content creation surged 234 percent as the fastest growing AI skill for nontechnical professionals and ...

A new documentary premiering at the Sundance Film Festival has placed the debate over AI squarely in the cultural spotlight, ...

As AI coding tools become more sophisticated, engineers at leading AI companies are stopping writing code altogether ...

We’re fans of lawmaking that’s closer to the people, but in this case it’s better to have a national standard that can more ...

Musk and Bezos have given Starmer a worrying glimpse of the AI future - COMMENT: The evidence on job losses caused by AI is ...

Journalist Ira Glass, who hosts the NPR show “This American Life,” is not a computer scientist. He doesn’t work at Google, Apple or Nvidia. But he does have a great ear for useful phrases, and in 2024 ...

How Vast Data is shaping AI infrastructure in the Middle East through sovereign cloud, sustainability, and agentic AI ...

The true impact of this training lies in the shift of perspective among educators, many of whom now see AI as a bridge to ...

C ritics of generative AI have described it as a threat to higher education, and to the humanities in particular. The critics are right. Large language models (LLMs) perform core educational functions ...