上海交大人工智能实验室成果发布：时间维度开启工业4.0中国方案

Core Insights - The integration of artificial intelligence (AI) with industrialization is becoming a core driving force for industrial transformation in China [3][9] - Shanghai Jiao Tong University’s Professor Li Jinjing's team has developed an innovative AI automatic control system that introduces a "time dimension" to enhance industrial control [3][5] Group 1: AI and Industrial Transformation - The current industrial landscape faces challenges such as dynamic data analysis difficulties, data labeling bottlenecks, and high computing costs, necessitating interdisciplinary collaboration and the establishment of specialized labeling systems [1][3] - The AI automatic control system developed by Professor Li's team successfully addresses the real-time prediction and regulation challenges in the complex dynamic processes of biological fermentation [3][6] Group 2: Technological Innovations - The introduction of the "time dimension" allows the AI system to track microbial metabolic changes in real-time, significantly improving the precision of production management [5][6] - The system utilizes transfer learning to reduce reliance on large labeled datasets and combines physical interpretability to facilitate model understanding and optimization, thus lowering computing requirements and application costs [8] Group 3: Industry Impact and Future Outlook - The AI system's lightweight design enables small and medium-sized enterprises to easily deploy AI technologies, paving the way for widespread adoption in the industrial sector [8] - The advancements in AI are expected to lead to ultra-fine quality control, flexible production optimization, and enhanced supply chain management, contributing to high-quality development in China's industrial economy [9]