Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across ...

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...

Catalog description: Presents the underlying theory behind machine learning in proofs-based format. Answers fundamental questions about what learning means and what can be learned via formal models of ...

Modern society relies on a vast number of systems, including manufacturing plants, transportation networks, supply chains, healthcare systems, power and communication systems, and social networks.

Two recent collaborations between mathematicians and DeepMind demonstrate the potential of machine learning to help researchers generate new mathematical conjectures. Mathematicians often work ...

The master's in robotics emphasizes the analysis, control and design of robots, which play a crucial role in modern society; including robotic arms for manufacturing and assistive co-robots in ...

Russ Schumacher receives funding from the National Oceanic and Atmospheric Administration for research on applying machine learning to improve forecasts of high-impact weather. Aaron Hill receives ...