江苏发布“人工智能+”行动方案到2030年人工智能产业规模超万亿

Core Viewpoint - The "Artificial Intelligence +" Action Plan of Jiangsu Province aims to accelerate AI technology innovation and integration across various industries, enhancing productivity and driving economic growth. Group 1: Action Plan Overview - The plan leverages Jiangsu's strengths in industry, data, scenarios, and talent to promote AI technology innovation and application across multiple sectors [2] - Key goals include achieving over 70% penetration of new intelligent terminals and applications by 2027, over 90% by 2030, and establishing a leading AI innovation hub by 2035 [3] Group 2: Research and Development Focus - The plan prioritizes AI-driven scientific research, establishing key laboratories and innovation platforms to foster breakthroughs in various fields [4] - It aims to cultivate high-level talent in AI and enhance the capabilities of research institutions [4] Group 3: Industrial Upgrading - The initiative emphasizes the integration of AI into traditional industries, particularly manufacturing, to drive transformation and efficiency [5][6] - It includes the development of a comprehensive framework for AI-enabled manufacturing and support for small and medium enterprises in digital transformation [6] Group 4: Education and Talent Development - The plan outlines initiatives to integrate AI into education, including the establishment of AI-related programs in universities and the promotion of AI literacy among students [8] - It aims to create a robust ecosystem for AI talent development, including the establishment of AI colleges and research centers [8] Group 5: Healthcare Integration - The plan highlights the integration of AI in healthcare, with significant data management initiatives and the establishment of platforms for data sharing and application [9] - It aims to enhance the healthcare industry through AI technologies, improving medical devices and health services [9] Group 6: Data Infrastructure - The plan emphasizes the importance of high-quality data for AI development, with initiatives to create valuable data sets and support the data annotation industry [9] - It aims to establish over 1,000 high-quality data sets by 2027 to support AI applications across various sectors [9]