Literal equations can be hard on their own, but some problems are just more difficult than others. In this video, I want to focus on one of my favorites. ***Videos Picked To Watch Next*** ⭐️ Tricky ...

Frank Merle is used to confronting a messy world. He works on the mathematics of highly nonlinear systems—ones that respond in dramatic, unpredictable ways to even the smallest changes. It’s the same ...

For years, Rutgers physicist David Shih solved Rubik's Cubes with his children, twisting the colorful squares until the scrambled puzzle returned to order. He didn't expect the toy to connect to his ...

🚀 Jump in! We've kicked off THEORIA with a handful of entries, and we need your help to grow it. If you're into physics (researcher, educator, or enthusiast) now's the time to contribute your ...

Microbial communities drive essential biological processes across ecosystems, yet predicting their dynamics and functions remains challenging due to context-dependent interactions. We develop a ...

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...

Three physics problems scientists still can’t explain Modern physics explains much of how the universe works, from atoms to galaxies. Yet some problems remain stubbornly unresolved, resisting even the ...

Your browser does not support the audio element. Imagine watching water flow through sand at two different zoom levels. At low zoom, you see the overall current ...

Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for uncovering patterns in large amounts of data that would otherwise be ...

Daniel Whiteson and Andy Warner’s upcoming book is a philosophical exploration of the humanity behind our desire to find aliens. Reading time 6 minutes At Gizmodo, we love a good story about ...