21对话｜林金朝：“物联网+AI”将在“一感两网”率先商业化

Core Insights - The relationship between artificial intelligence (AI) and the Internet of Things (IoT) is evolving from one-way empowerment to mutual empowerment, driven by technological advancements, application demands, and policy support [2][3][4] Group 1: Technological Advancements - Recent breakthroughs in technology, such as high-performance computing chips and enhanced network capabilities (e.g., 5G), have facilitated the integration of AI and IoT [3] - The computational power of embedded sensing terminals has reached TFLOPS levels, significantly enhancing the smart processing capabilities of these devices [3] - Edge computing serves as a bridge between terminal and cloud, providing algorithms and models that support the fusion of AI and IoT [3] Group 2: Application Demands - The demand for smart solutions across various industries, including industrial internet and connected vehicles, is driving the integration of AI and IoT [5][6] - The modernization of traditional manufacturing in China is a key area where AI and IoT can be effectively combined to achieve intelligent transformation [6] - Modern agriculture also shows a pressing need for IoT and intelligent technologies, indicating a broad scope for application [6] Group 3: Policy Support - Global strategic deployments for AI and IoT by various countries are crucial for fostering their integration [4] - Data security and privacy regulations are essential for ensuring the safe application of vast amounts of data generated by these technologies [4] Group 4: Future Directions - The focus for the next one to two years should be on developing smart sensors and high-performance computing chips to support the AIoT integration [5][6] - Wuxi's ambition to create a national advanced manufacturing cluster highlights the potential for AI and IoT to drive economic growth and innovation [7] - A strategic approach, including policy refinement and talent acquisition, is necessary for Wuxi to become a leading hub for AIoT applications [7]