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 ...

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, ...

Dr. Zhang is Associate Professor in Transportation Systems and Computer Science. Dr. Zhang's research focuses on applying mathematical optimization, control theory, simulation analysis, game theory, ...

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 ...

We are sleepwalking into a skills gap in Artificial Intelligence (AI).

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 ...

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 ...

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under ...