“Where these low clouds are, the air weighs around one kilogram for every cubic meter – 4,000 times more than the water did,” ...

Over the past couple of months, several researchers have begun making the same provocative claim: They used generative-AI tools to solve a previously unanswered math problem. The most extreme promises ...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the backbone of AI, but mathematicians are also turning to these tools for tasks ...

Burn more, weigh less. Sounds simple, right? Not exactly. A new study is challenging conventional wisdom about exercise and weight loss, suggesting your workout may not burn as many calories as you ...

DeepMind’s Aletheia is a huge advance in AI-driven mathematical reasoning. It is a research agent built on top of Gemini Deep Think and uses an iterative process of generating candidate solutions, ...

This report from the Pew-Knight Initiative looks at how Americans think about their role in the news environment. Why we did this With information coming at people faster than ever before, and a ...

Joel Sherman discusses Francisco Lindor and Mark Vientos in today's video. NY Post Joel Sherman checks in again from Mets spring training in sunny Port St. Lucie, and Thursday’s edition of the video ...

Every time Kelly publishes a story, you’ll get an alert straight to your inbox! Enter your email By clicking “Sign up”, you agree to receive emails from ...

Helix High School students perform remarkably on basically every academic indicator – and have for years. What’s behind their ...

Unruly Republic: With artificial intelligence disaster looming, we’re told to empower experts, raise taxes! Could we be heading into another version of climate alarmism? Photo: Noah Berger/AP/Vincent ...

Hyesang Chang and colleagues, from Stanford University, explored why some children struggle to learn math compared to their peers in a new JNeurosci paper. Children selected which numbers were bigger ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...