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, ...

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, ...

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 ...

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 ...

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 ...

Theme: "Foundation Models for Intelligent Control in Autonomous Driving Traffic Systems" We are excited to announce a special call for papers for an upcoming issue of Communications in Transportation ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

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 ...

Machine learning enables AI to learn and improve without direct programming. AI uses machine learning to analyze vast data sets and identify patterns. Accuracy of AI predictions depends on quality ...