四位院士领衔，2025长三角人工智能产业融合共生发展大会在杭举行

Core Insights - The article emphasizes the transition of China's AI industry from "large models" to "large applications," highlighting the need for practical commercial use of AI technology rather than just theoretical advancements [7][50] - The 2025 Yangtze River Delta AI Industry Integration and Coexistence Development Conference showcased the collaboration between academia, government, and industry to explore future opportunities and challenges in AI [4][50] Group 1: Conference Overview - The conference gathered over 300 participants, including top scholars, government officials, and industry representatives, to discuss the future of AI and collaboration opportunities [4][8] - The Zhejiang Turing Computing Research Institute, the conference's organizer, aims to address real challenges faced by AI companies in commercialization, such as finding application scenarios and reducing computing costs [8][48] Group 2: Keynote Speeches - Academicians presented critical insights on the future of AI, with a focus on practical challenges and the need for innovative algorithms in industrial applications [12][22] - Liu Daxiang discussed the importance of AI in developing a low-altitude economy and emergency rescue systems, emphasizing the need for a unified safety information network [14] - Chai Tianyou highlighted the necessity for new algorithms to address the dynamic nature of industrial systems, distinguishing industrial AI from general AI [16] - Dai Qionghai raised concerns about the lack of original contributions to AI research in China, stressing the importance of breakthroughs in sensors, computing power, and brain intelligence for future leadership in AI [20] Group 3: Industry Perspectives - The conference featured discussions on the practical challenges of AI commercialization, with a significant failure rate of AI solutions in enterprises due to organizational and technical gaps [26][27] - The shift from a "training cycle" to a "reasoning cycle" in AI is seen as a strategic opportunity for China to leverage its advantages in engineering and cost [29] - Real-world applications of AI in urban governance and other sectors were showcased, demonstrating the potential for AI to create significant efficiencies and innovations [30][37] Group 4: Strategic Collaborations - Six companies signed agreements to establish operations in the Computing Town, focusing on key areas of the AI industry, including chip design and smart hardware [45] - The collaborative nature of these agreements reflects the conference's theme of "integration and coexistence," emphasizing the need for a cohesive industry ecosystem to support AI deployment [45][50] Group 5: Future Directions - The Computing Town aims to serve as a model for AI industry development, with a focus on reducing computing costs and fostering innovation through a supportive ecosystem [48][50] - The conference acknowledged the ongoing challenges in transitioning AI from theoretical models to practical applications, emphasizing the need for continued dialogue and collaboration among stakeholders [50]