When it comes to training robots to perform agile, single-task motor skills, such as handstands or backflips, artificial intelligence methods can be very useful. But if you want to train your robot to ...

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 ...

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, ...

It’s not easy to put the intelligence in artificial intelligence. Current machine learning techniques generally rely on huge amounts of training data, vast ...

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.

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 ...