On July 9, the first National Sports Artificial Intelligence Conference opened at the Capital Institute of Sport in Beijing. The conference focused on the application of artificial intelligence technology in the field of sports and the cultivation of talents in the field of sports artificial intelligence. Experts and scholars from the fields of sports and intelligent technology Exchange research results, share practical experience, and discuss optimization strategies.
Experts at the meeting shared practical exploration of sports artificial intelligence technology
This conference is hosted by the China Artificial Intelligence Society and hosted by the Capital Institute of Physical Education. The theme is "Fitness·Intelligence·Integration". There are 6 conference reports, 56 special reports in four special forums and 148 articles. Wall poster display. On the same day, the Sports Artificial Intelligence Committee of the China Artificial Intelligence Society was officially unveiled.
The first National Sports Artificial Intelligence Conference was held at Capital Institute of Physical Education in Beijing. Photo by Beijing News reporter Su Ji
Experts shared the research and application prospects of artificial intelligence technology in the sports field at the conference. He Ming, Secretary of the Party Committee of the Capital Institute of Physical Education, introduced that the Capital Institute of Physical Education adheres to the forefront of world sports science and technology and major national strategic needs, and is the first in the country to propose the school-running idea of "innovative development of the integration of sports, medicine and engineering" to promote basic research and applied research. Carry out scientific research in key areas.
Dai Qionghai, Counselor of the State Council, Academician of the Chinese Academy of Engineering, and Chairman of the Chinese Society of Artificial Intelligence, believes that artificial intelligence, as the commanding heights of science and technology that the world is competing for, has been elevated to a national strategy and will play an irreplaceable and important role in the future development of mankind. He organized and summarized the basic research and application demonstrations of artificial intelligence technology in competitive sports, national construction, school sports and other fields.
Academician Hu Haiyan introduced two research paradigms: one is research involving sports application scenarios through scientific and technological means, and the other is research looking for research methods from the research objects themselves. For example, Tsinghua University and other universities have undertaken a number of scientific and technological projects, which have significantly improved the scientific and technological level of my country's ice and snow sports. The Capital Institute of Physical Education has successively established the Sports Artificial Intelligence Research Institute and the Sports and Medicine Integration Innovation Center, establishing integrated innovation development ideas.
Promote the integration of disciplines and accelerate the training of graduate students in the field of sports artificial intelligence
At the conference, Huang Hansheng, a member of the Discipline Development Strategy Advisory Committee of the Academic Degrees Committee of the State Council, introduced the current situation and challenges of postgraduate training in sports artificial intelligence. He pointed out that, first of all, there is a shortage of mentors in the field of sports artificial intelligence. Most of the top experts in the field of artificial intelligence are in the fields of computer science, mathematics, statistics, etc. Professional knowledge and skills in these fields are necessary conditions for carrying out high-quality artificial intelligence research. In contrast, the number of artificial intelligence experts in the field of sports is too large. There are few, most of them are concentrated in the field of sports and human body science, and the teaching staff is weak. Secondly, there are differences in the knowledge background of physical education graduate students. The core theories, methods, and technologies of artificial intelligence mainly originate from disciplines such as computer science, statistics, and mathematics. Since physical education is a discipline that focuses on practice and application, it lacks sufficient background knowledge in computer science and engineering, which makes them difficult to understand. There are certain difficulties when applying these artificial intelligence technologies. In addition, there are too few sports artificial intelligence research platforms.
Huang Hansheng believes that we should design from the top, use the national discipline system to help cultivate sports artificial intelligence graduate talents, and at the same time open up channels to cultivate sports artificial intelligence professionals through cross-disciplinary integration, and create an influential sports artificial intelligence talent training platform. , to accelerate the training of graduate students in the field of sports artificial intelligence.
Regarding how to open up channels, he said that first of all, the boundaries of the original disciplines must be broken. Physical education should take the initiative to go out of the original discipline boundaries and actively learn theories, technologies, and methods in the field of artificial intelligence, such as deep learning and machine learning. , computer vision, etc., and encourage sports graduates to go beyond disciplines and learn knowledge and skills in artificial intelligence, such as programming capabilities, data analysis skills, etc. Secondly, a secondary discipline of sports artificial intelligence or sports engineering technology can be established under physical education, or physical education can be placed under a newly established interdisciplinary category. By expanding the subject enrollment, it can attract experts in artificial intelligence application technology-related fields. Postgraduate students are recruited under the first-level discipline of physical education. In addition, through the integration of industry, academia and research, graduate students are guided to focus on the field of sports artificial intelligence. Graduate students under the four existing secondary disciplines of physical education can participate in the development of sports artificial intelligence projects related to their own research directions through direct communication with industry experts and practitioners, enhance practical abilities and innovative thinking, and familiarize themselves with The research field is combined with artificial intelligence.
Beijing News reporter Su Ji
Edited by Miao Chenxia and proofread by Jia Ning
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