Microsoft says its new MAI models revealed at Build 2026 are the future. After testing them, I'm not convinced they're ready for that spotlight.

Frontier AI models have evolved into bug-finding tools, uncovering vulnerabilities across the tech world—and now in crypto too.

People have been seeking out health information online since the dawn of the internet. And now, tens of millions of people are turning to artificial intelligence for questions they once asked “Dr. Google.

Just as with LLMs, success in other frontiers of AI will require access to large volumes of high-quality data. That will require deliberate, research-driven dataset design.

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence models are essentially copycats. They learn either ...

A researcher analyzing reams of data. A traveler translating a foreign language. A student writing an essay. There are many ways that artificial intelligence has been proven to help an individual in a challenging situation.

Food waste is a nagging problem that weighs heavily on global food production, distribution and sales industries—but an emerging generation of AI sensors is providing a raft of fresh solutions. The embrace of AI in food industries has been swift,

Conservationists analyse overwhelming volumes of ecological data in their work. For example, they might need to process decades of weather data or the movements of millions of insects. Up until now, these scientists and decision makers have had to manually find and sort information,