打造具有国际竞争力的人工智能产业集群

Core Insights - Artificial intelligence (AI) technology is leading a new wave of technological revolution and industrial transformation, with regions like Beijing, Guangdong, and Zhejiang becoming key AI industry clusters in China [1] - The State Council has approved an opinion to deepen the implementation of the "AI+" action, emphasizing the integration of AI technological innovation with industrial innovation [1] Group 1: AI Industry Cluster Systems - The AI industry cluster consists of five subsystems: technology innovation, application innovation, digital infrastructure, talent and capital support, and cluster governance and open collaboration [2] - The technology innovation subsystem focuses on knowledge creation and application, linking universities, research institutions, and corporate R&D centers to ensure efficient knowledge flow in AI core technologies [2] - The application innovation subsystem emphasizes value creation and distribution, building a complete value chain from hardware to software and application scenarios, facilitating the widespread transformation of AI technology [2] Group 2: Innovation Development Models - Three innovation development models are identified: technology-driven, application-driven, and institutionally empowered models [4][5] - The technology-driven model focuses on original innovation and breakthroughs, leveraging research institutions and leading enterprises to create a robust R&D network [4] - The application-driven model emphasizes real demand and open application scenarios to drive technology iteration and collaboration among upstream and downstream enterprises [5] Group 3: Key Focus Areas for International Competitiveness - Four key focus areas are necessary for enhancing international competitiveness in AI: strong innovation, strong application, strong infrastructure, and strong ecosystem [6][7] - Strong innovation requires leveraging a new type of national system to support cutting-edge technology breakthroughs and fostering collaborative innovation networks led by enterprises [6] - Strong application involves integrating AI into new industrialization processes, focusing on key industries to drive technological iteration and value chain collaboration [6] - Strong infrastructure aims to build high-level digital infrastructure and data flow systems to support efficient data operations and secure technology application [6] - Strong ecosystem focuses on creating an attractive and competitive industrial environment through integrated education, technology, and talent mechanisms [7]