Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Proven methods for teaching the readers who struggle most have been known for decades. Why do we often fail to use them?

Rethinking climate prediction, disasters, and plantation economics in Sri Lanka For decades, Sri Lanka has interpreted climate through a narrow lens. Rainfall totals, sunshine hours, and surface ...

A high-school student is tackling the overlooked risk of AI-generated satellite imagery that could mislead governments and ...

In this episode, Umesh Sachdev, Co-founder and CEO of Uniphore, breaks down the real-world playbook for building enterprise ...

As Founder and CEO of NicheHR Global, a UAE‑headquartered executive search and HR consulting firm, Shenoy brings more than two decades of sector‑ and geo‑agnostic talent acquisition experience ...

Most of it was flattery, but there was one bit of advice that I immediately decided to turn into a New Year's resolution.

Yu and his team investigated bias in four standard AI pathology models being developed for cancer evaluation. These ...

Dickens’s Christmas novella is often read as a reassuring parable about our ability to change — but the whole point of Scrooge’s ghostly visitations is how dramatically his moral life needs to be ...

Check out our top five complicated watches of 2025 ✓ Featuring Audemars Piguet, Vacheron Constantin, and more! ✓ ...

Answering this disconnect between a batter’s expectations and their observations of where a pitch would and did cross the plate has been the topic of study and discussion for years, but only now do we ...