In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

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 ...

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.

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, ...

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 ...

Machine learning is a subfield of artificial intelligence which gives computers an ability to learn from data in an iterative manner using different techniques. Our aim here being to learn and predict ...

A 2022 study published in the National Library of Medicine at the National Center for Biotechnology Information found that more than 44% of people with upper limb loss abandon their prostheses, citing ...

It’s a bit of a stretch to realize zero human interaction in the operation of heavy construction equipment. However, make no mistake. The move is on to make it happen. “Part of the problem involves ...