“AI+”将成为行业创新的核心路径

Group 1: AI Integration in Industry - The concept of AI has evolved from a trendy term to a core necessity for innovation, as highlighted by the Jiangsu Engineer Conference, indicating that AI empowerment will be central to industry innovation [1] - AI technology is transitioning from theoretical models to practical engineering solutions, driving a significant shift from "Jiangsu manufacturing" to "Jiangsu intelligent manufacturing" [1] Group 2: Bridge Inspection Technology - The project led by Professor Xiong Wen from Southeast University focuses on addressing challenges in bridge inspection by utilizing drones equipped with laser scanning and 3D sonar to create comprehensive digital twin models [2] - AI technology is employed to intelligently enhance data quality, automatically repairing missed inspection areas and determining the optimal service state of bridges, with successful applications in multiple provinces and countries [2] Group 3: 5G Network Optimization - The project led by Professor Wang Xiaojun aims to enhance 5G network coverage and optimization, addressing the challenge of maintaining network performance during large events [3] - AI-driven technologies have been developed for intelligent planning and operation, significantly reducing repair time for communication networks during emergencies, as demonstrated during the Typhoon Doksuri recovery efforts [3] Group 4: Intelligent Manufacturing Systems - The project led by Professor Tang Dunbing focuses on creating self-organizing intelligent manufacturing systems that can autonomously manage tasks without human intervention, enhancing flexibility in production [4] - The system's ability to translate and adapt CNC programming across platforms has improved efficiency by approximately 30%, with successful trials in leading companies [4]