Scientific Organizers: Clay Córdova (Chicago), David Poland (Yale), Sasha Zhiboedov (CERN) The program will consist of a pedagogical series of lectures given over a four-week period, three or four ...

Researchers from the group of theoretical physicist Hans Briegel have collaborated with NVIDIA to develop an AI method that automatically generates efficient quantum circuits, a key bottleneck in ...

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

Before we get to the projects, lets chat a bit about the fascinating history of catapults. Catapults are fascinating ancient siege weapons that were used to hurl large projectiles (like cannon balls ...

Analyze an Atwood machine with a heavy pulley and heavy rope! This physics tutorial explains acceleration, tension, and forces step by step—ideal for students and physics enthusiasts. #Physics ...

Simulating physics is central to robotics: before a robot ever moves in the real world, much of its learning, testing, and control happens in a virtual environment. But traditional simulators often ...

It's notoriously difficult to consistently measure the energy usage of AI models, but DARPA wants to put an end to that uncertainty with new "energy-aware" machine learning systems. The Mapping ...

Abstract: This tutorial paper focuses on safe physics-informed machine learning in the context of dynamics and control, providing a comprehensive overview of how to integrate physical models and ...