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 ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

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, ...

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.

Through artificial intelligence, machine learning and robotics, Case School of Engineering’s researchers are developing technologies for smart cities, smart manufacturing, smart homes, smart ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Automation technology suppliers are integrating robot kinematics directly into PLCs, simplifying programming, reducing costs, ...