In the context of the accelerated transformation of the global manufacturing industry towards intelligence and digitization, the deep integration of industrial artificial intelligence and quality engineering is becoming the core engine driving the high-quality development of the manufacturing industry. Artificial intelligence technology is completely revolutionizing the traditional paradigm of quality control and process monitoring - from machine learning, sensor integration, computer vision to edge AI and cloud computing. AI driven technology is achieving real-time process monitoring, in-situ quality assessment, early defect detection, and full process quality traceability of multi-stage manufacturing systems.
The International Conference on Industrial Artificial Intelligence and Quality Engineering (IAIQE 2026) aims to provide an interdisciplinary and high-level international exchange platform for experts, scholars, and industry leaders in the fields of industrial artificial intelligence, quality engineering, and related fields worldwide. The conference will focus on core topics such as AI driven quality monitoring and control, machine learning applications in intelligent manufacturing, digital twins and quality prediction, trustworthy AI and interpretability, industrial big data and quality analysis, promoting the deep integration of academic innovation and industrial applications, and assisting in the high-quality development of the manufacturing industry.