利好！事关AI，八部门重磅发布！

Core Viewpoint - The article discusses the implementation of the "Artificial Intelligence + Manufacturing" initiative by eight government departments, aiming to enhance China's AI capabilities in manufacturing by 2027, with a focus on developing core technologies, models, and applications in the industry [1]. Group 1: AI Technology Development - By 2027, China aims to achieve secure and reliable supply of key AI technologies, maintaining a leading position globally in terms of industry scale and empowerment levels [1]. - The initiative plans to promote the deep application of 3-5 general large models in manufacturing, create 100 high-quality industrial data sets, and promote 500 typical application scenarios [1]. Group 2: Chip and Computing Power - The initiative emphasizes the need to strengthen AI computing power supply by supporting breakthroughs in high-end training chips, edge inference chips, and AI servers [2]. - It aims to advance the layout of high-level intelligent computing facilities and establish a national integrated computing network monitoring and scheduling platform [2]. Group 3: Model Development and Application - There is a focus on developing high-performance algorithm models that meet the real-time, reliability, and safety requirements of the manufacturing industry [3]. - The initiative encourages the lightweight deployment of models and the development of a public service platform for models and supporting tools [3]. Group 4: Smart Equipment and Robotics - The initiative promotes the integration of AI technology into the research, manufacturing, and operation of major technical equipment such as large aircraft and ships, as well as the development of drones and intelligent low-altitude equipment [4]. - It aims to accelerate the innovation and clinical application of intelligent medical equipment, including surgical robots and intelligent diagnostic systems [4]. Group 5: New Terminal Devices - The initiative supports the industrialization and commercialization of new terminal devices such as AR/VR wearable devices and brain-computer interfaces, focusing on key scenarios like industrial inspection and remote medical care [5]. - It aims to foster innovation in embodied intelligent products and establish benchmark production lines for humanoid robots [5].