Research Group:

Industrial AI

Head of the Research Group:

Feiyu Xu

Industrial AI focuses on applying artificial intelligence techniques to manufacturing and industrial processes. Key applications include predictive maintenance, quality control automation, and supply chain optimization. Advanced concepts in this field involve the development of digital twins for industrial systems and the use of reinforcement learning for process optimization. The impact of industrial AI is seen in increased efficiency, reduced downtime, and improved product quality across various industries. Future trends point towards the integration of edge computing for real-time industrial AI applications and the development of collaborative AI systems that can work alongside human operators.