深圳：到2027年，在“人工智能+”先进制造业领域建成国家人工智能应用中试基地

Core Viewpoint - Shenzhen's "Artificial Intelligence +" Advanced Manufacturing Action Plan (2026-2027) aims to integrate AI technology deeply into the manufacturing sector, promoting new industrialization and enhancing traditional industries through innovation and application of AI [1][2][3]. Group 1: Overall Requirements - The plan targets the realization of new industrialization by accelerating AI's integration into all aspects of manufacturing, including R&D, production management, and supply chain management, aiming for comprehensive smart development by 2027 [3]. Group 2: Key Support Platforms - Establishment of an Industrial Intelligent Body Innovation Center to support the development of intelligent systems capable of environmental perception and autonomous decision-making [4]. - Development of industrial software and knowledge alliances to standardize industrial knowledge and create leading autonomous software products [5]. Group 3: Empowering Key Industry Clusters - AI will enhance the electronic information manufacturing sector by integrating algorithms, data sharing, and collaborative computing resources to improve smart transformation [6]. - In the semiconductor and integrated circuit industries, AI will optimize chip design and software efficiency, focusing on high-performance SoC chips for various AI applications [7]. - The automotive manufacturing sector will see AI applied in smart connected vehicles, enhancing design, production, and testing processes [8]. - AI will support robotics by developing multi-modal interaction technologies and enhancing operational efficiency in various industrial applications [9]. - High-performance materials manufacturing will leverage AI for process optimization and predictive control, creating a responsive materials ecosystem [10]. - The low-altitude economy will benefit from AI-driven drone capabilities, enhancing operational efficiency across various applications [11]. - AI will accelerate drug development and medical device innovation, integrating AI with biotechnology for improved healthcare solutions [12]. - Traditional industries will explore new optimization paths through AI, focusing on personalized production and supply chain intelligence [13]. Group 4: Strengthening Work Guarantees - Increased financial support for the "Artificial Intelligence +" advanced manufacturing sector, encouraging collaboration between AI and traditional manufacturing policies [12]. - Establishment of application scenario open centers to facilitate supply-demand matching and promote AI applications in manufacturing [13]. - Ongoing training and demonstration promotion in AI technologies to address industry pain points and showcase successful applications [13].