苏州启动“AI+制造”八大行动

Core Insights - Suzhou is implementing the "AI + Manufacturing" initiative to promote the deep integration of artificial intelligence with the manufacturing industry, focusing on eight key actions to drive high-quality development [1][2] Group 1: AI + Manufacturing Actions - The initiative includes actions such as cultivating industrial large models, enhancing data support, promoting application scenarios, and brand development to create an innovative ecosystem [1] - The industrial large model cultivation action aims to support model development companies in collaboration with manufacturing enterprises to develop 150 industrial large models, transitioning them from "usable" to "user-friendly" [1] - The industrial data set construction action focuses on building over 200 high-quality industrial data sets across various levels, including equipment, production lines, factories, and industries [1] Group 2: Application and Empowerment - The typical application scenario promotion action plans to add over 100 replicable and promotable application scenarios through monthly collection and quarterly selection [2] - The intelligent terminal brand shaping action targets nine sub-sectors, aiming to cultivate over 300 intelligent terminal products for applications in industrial manufacturing, government services, and healthcare [2] - The platform empowerment action includes building a national AI application pilot base and selecting 10 AI application empowerment centers in key manufacturing industries [2] Group 3: Infrastructure and Standards - The computing power supply quality improvement action aims to establish an efficient intelligent computing power network, targeting a total computing power scale of 40,000 PFLOPS [2] - The standard system leading action supports the development of evaluation standards and testing systems for industrial large models, with over 20 standards in the "AI + Manufacturing" field [2] - The industrial ecosystem optimization action focuses on leveraging AI industry support policies and guiding funds to attract quality projects and national funding [2]