利好！八部门联合发布

Core Viewpoint - The article discusses the implementation of the "Artificial Intelligence + Manufacturing" initiative, aiming to enhance the integration of AI technologies in the manufacturing sector, thereby driving industrial upgrades and reshaping the global landscape by 2027 [2][4]. Overall Requirements - The initiative is guided by Xi Jinping's thoughts and aims to promote innovation-driven development, focusing on technology supply, application scenarios, and market leadership while ensuring safety and openness [5]. Innovation Foundation - Strengthening AI computing power supply through the development of advanced chips and cloud computing platforms [7]. - Developing high-performance algorithm models tailored for the manufacturing sector, enhancing real-time and reliable applications [7][8]. Application Expansion - Accelerating AI empowerment in key manufacturing sectors such as raw materials, equipment manufacturing, and consumer goods, while promoting benchmark solutions [9]. - Systematically transforming the entire manufacturing process, from design to production, using AI technologies to enhance efficiency and reduce costs [10][11]. Product Breakthrough - Promoting the iteration of intelligent equipment, including industrial robots and AI-driven medical devices, to enhance decision-making and operational capabilities [14]. - Supporting the development of smart terminals and software applications that integrate AI functionalities to improve user experience and operational efficiency [15]. Main Body Cultivation - Encouraging the growth of influential AI enterprises and supporting small and medium-sized enterprises in their digital transformation efforts [16]. - Establishing innovation centers and laboratories to enhance the supply of key technologies and foster industry collaboration [16]. Ecological Expansion - Strengthening standards and promoting open-source initiatives to build a globally influential AI ecosystem [18]. - Enhancing talent development in AI to meet industry needs and improve overall skill levels [19]. Safety Assurance - Improving safety capabilities in AI applications, focusing on data security and ethical management [20]. - Establishing governance mechanisms for AI safety, including risk monitoring and emergency response protocols [20]. International Cooperation - Encouraging enterprises to tailor AI products for different international markets and participate in global AI discussions [21][22]. Support Measures - Implementing a collaborative mechanism among departments to support the development of AI technologies and applications in manufacturing [23].