A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Do F1 drivers memorize racing routes? After all, these athletes navigate complex circuits at speeds exceeding 300 km/h, ...

Discover how Monte Carlo analysis helps investors assess risk and make informed decisions. Explore its role in generating ...

Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...

Predictive maintenance and digital twin technologies use real-time aircraft data and advanced analytics to help MROs increase ...

The big bang wasn’t the start of everything, but it has been impossible to see what came before. Now a new kind of cosmology is lifting the veil on the beginning of time ...

Quantum physics may sound abstract, but PhD candidates Kirsten Kanneworff and David Dechant show that quantum research can ...

The currents of the oceans, the roiling surface of the sun, and the clouds of smoke billowing off a forest fire—all are ...

The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

When we think about heat traveling through a material, we typically picture diffusive transport, a process that transfers ...

If true, the idea would blow past one of physics’ most sacred limits: that parallel versions of reality can never talk to ...