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 ...

From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...

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 ...

A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data. Researchers from MIT and Stanford University have devised a new ...

Purdue University's online Master of Science in Autonomy equips professionals with expertise in robotics, AI, and autonomous systems. Students will increase their knowledge of machine learning, ...

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 ...

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.

Greetings, this is Jeff, director of the Badger Herald podcast. And today we have a very exciting episode — we’re talking with Professor Kangwook Lee, part of the Electrical and Computer Engineering ...