Qunqing Intelligence Co-founder & CEO Dr. Wu Zheming to Speak at AICon Shenzhen, Sharing "Defining Intelligence from Real Production Lines — Physical AI Loop for Industrial Embodied Intelligence"

At the AICon Global AI Development and Application Conference in Shenzhen on August 21-22, Dr. Wu Zheming, co-founder and CEO of Qunqing Intelligence, will deliver a keynote titled "Defining Intelligence from Real Production Lines — Physical AI Loop for Industrial Embodied Intelligence." The conference will cover topics such as agent engineering, large model infrastructure, AI-native development, and embodied intelligence. Wu, who holds a bachelor's from Tsinghua University and a joint PhD from UC Berkeley, will discuss why embodied intelligence demos keep advancing but industrial deployment remains difficult, the fundamental differences between industrial embodied intelligence and traditional automation, and how to build a "perception-decision-execution-feedback" physical AI loop. Qunqing Intelligence, founded by four Tsinghua doctors, uses welding as a starting point to create a complete physical AI system integrating visual perception, task planning, robot control, and real-time field data feedback. The company has deployed welding AI agents in energy equipment, heavy machinery, and transportation sectors, achieving 100% customer repeat purchase rates. Other keynote speakers include Professor Kingsum Chow from Zhejiang University, Tao Jianhui from TDengine, Dr. Pan Yingwei from HiDream.ai, and Dr. Wang Chenglu from Shen Kaihong, covering topics like performance engineering, world models, and physical AI.