To deeply explore the cutting-edge advances and development trends in the field of discrete intelligent computing, promote the innovative application of related theories, methods, and technologies across multiple disciplines, advance the development of national first-class courses in discrete mathematics, and foster curriculum innovation and talent cultivation, the "2025 CAAI Annual Conference on Discrete Intelligent Computing and the 24th National Conference on Discrete Mathematics," sponsored by the Chinese Association for Artificial Intelligence (CAAI) and organized by Qinghai Normal University and the CAAI Specialized Committee on Discrete Intelligent Computing, will be held from August 18 to 22, 2025, at the Qinghai Hotel in Xining City. The theme of this annual conference is "Frontier Exploration and Educational Practice in Discrete Intelligence." The conference will invite experts and scholars in AI and discrete mathematics-related fields to share the latest research findings, and frontline teachers to share their experiences in teaching, curriculum, and case study development, building a high-level exchange platform to promote deep integration of research and education and collectively lead innovative development in the field of discrete intelligent computing.

Conference dates: Registration on August 18, 2025; conference forums from August 19 to 21.

The conference will invite leading figures in the field, including Professor Gu Tianlong from Jinan University, Professor Cui Lizhen from Shandong University, Professor Jin Long from Lanzhou University, Professor Xiao Lin from Hunan Normal University, Researcher Li Bing from the Institute of Automation, Chinese Academy of Sciences, and Vice Dean Wang Zhichun from the School of Artificial Intelligence, Beijing Normal University, to present reports on cutting-edge theories and practices in AI and discrete mathematics-related fields.

Explore teaching methods for discrete mathematics courses, discuss how to construct a discrete mathematics curriculum framework that integrates theory and practice, and share application cases of discrete mathematics in computer science, artificial intelligence, cryptography, and other fields.

Discuss "how to address the pain points frontline teachers face in applying for first-class courses," covering everything from theory to practice, including curriculum development policies and cutting-edge intelligent computing technologies, while addressing the needs of both educators and researchers.

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