After a year as COO of K-Scale Labs, Rui Xu reflects on the hard lessons behind the collapse of its low-cost humanoid robot ambitions.

Science fiction promised us humanoids. Do we even want them?

AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we can't verify them. How will we know if they're right? When you purchase ...

On Tuesday afternoon, Bob Starkey was in the LSU women’s basketball team’s locker room when he decided to take out his phone and snap a photo he’d later post to Instagram. Starkey wanted people to see ...

Quantum computers, systems that process information leveraging quantum mechanical effects, could soon outperform classical computers on some complex computational problems. These computers rely on ...

With board exams approaching, many students find numerical problems in Physics and Chemistry difficult and time-consuming. These questions test more than memory. They check whether a student ...

Physicists have transformed a decades-old technique for simplifying quantum equations into a reusable, user-friendly "conversion table" that works on a laptop and returns results within hours. When ...

The New York State Education Department is pushing new math guidelines, including a recommendation that teachers stop giving timed quizzes — because it stresses students out. The new guidelines also ...

BUFFALO, N.Y. — Imagine zooming into matter at the quantum scale, where tiny particles can interact in more than a trillion configurations at once. If that sounds complicated, it is: Physicists often ...

(via Sabine Hossenfelder) Progress in the foundations of physics is moving slowly. And yet it moves. Today I look at the five biggest problems in physics, what their status is, and how long it will ...

Most people think tightening wheels after fixing a flat tire is simple — grab a wrench, lean on it until your shoulder pops (ouch!), and call it a day. But wheel torque isn't just about brute force -– ...

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don’t have much data. Conversely, successful machine learning (ML) tends to rely on large, high quality ...