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2024 Pudong New Area Science Popularization Lecture will be held in our school for Science Popularization AI Big Model for Learning and Research Efficiency Improvement
发布日期:2025-02-15 19:46:13   发布人:

2024 Pudong New Area Science Popularization Lecture will be held in our school for Science Popularization AI Big Model for Learning and Research Efficiency Improvement

    On the evening of November 13, 2024 Pudong New Area Science Popularization Lecture (also Technology and Light of Wisdom) held a science popularization lecture titled AI Big Model for Improving Learning and Research Efficiency. The lecture was organized by Shanghai Pudong New Area Science and Technology and Economic Committee, and organized by Shanghai Pudong Science and Technology Entrepreneurship Center, Shanghai Science and Technology Communication Society, and Shanghai Second Polytechnic University School of Foreign Language and Culture Communication.

    This lecture will be presented by dr cheng mou kwan, chief planner of kwok technology co., ltd. He graduated from Shanghai Jiao Tong University and has served as Director of the Digital Economy Research Department of East China Branch of China Institute of Information and Communications and Director of the Digital Economy Research Center of Shanghai Artificial Intelligence Research Institute Co., Ltd. He has rich research and experience in the field of Internet and artificial intelligence, and has made great achievements, and has published more than 20 papers in SCI / EI journals and conferences at home and abroad.

     In this lecture, Dr. Zheng Mao-Kuan introduced the development and trend of AI models in history, and explained the application scenarios and cases of AI models to improve learning and work efficiency. At the same time, the future of innovative application of AI model is prospected.

    The lecture was attended by more than 140 teachers and students. In the last interactive session, the students from Shanghai Second Polytechnic University actively raised a series of AI-related questions, which were answered by Dr. Zheng Mao-Kuan combined with his rich research and professional experience.



    

   


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