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南京人工智能计算中心:深耕科研创新,构建AI人才培养生态
Jiang Nan Shi Bao·2025-05-16 15:50

Core Insights - Nanjing Artificial Intelligence Computing Center focuses on integrating industry, academia, and research to foster AI talent and innovation in the Yangtze River Delta region [1][4] - The center has established deep collaborations with over 10 universities and research institutions, training more than 5,000 AI professionals to support industrial upgrades [1][3] Group 1: Research and Innovation - The center actively participates in provincial research plans, successfully applying for two projects in remote sensing and education for the 2024 Jiangsu Provincial Technology Department's frontier technology R&D program [2] - In agricultural research, the center collaborates with Nanjing Agricultural University on a "soybean breeding large model" that utilizes AI to analyze genetic data, shortening breeding cycles and providing efficient tools for seed industry innovation [2] Group 2: Talent Development - To address the shortage of AI talent, the center has developed a comprehensive training system that includes "training + practice + connection" [3] - The center has conducted 12 "Ascend University Tour" lectures in collaboration with Southeast University and Nanjing University of Aeronautics and Astronautics, reaching over 5,000 students and covering practical topics such as MindSpore framework application and large model training [3] Group 3: Ecosystem and Collaboration - The center serves as a public platform, hosting nearly 20 events such as "Experience AI Charm" and Ascend Technology Forums, attracting participation from enterprises and investment institutions [4] - This has facilitated the innovative development of over 10 large model companies in Nanjing, forming an innovation ecosystem that combines computing power platforms, research institutions, and enterprises [4] - The center aims to create a virtuous cycle of technological innovation and industrial development, reinforcing the foundation for autonomous AI development in the city [4]