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Building a leading domestic sports industry with intelligent Baidu Wenxin model to empower sports projects

芊芊551
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Recently, Robin Lee, the founder, chairman and CEO of Baidu, said that 18% of search results have been generated by AI at Baidu's 2024 second quarter financial report conference. Baidu collaborates with Shanghai Sport University to explore the application of AI in the field of sports. The Baidu Wenxin model will provide powerful intelligent support for sports projects, helping athletes achieve better results.
In the just concluded international sports events, the Chinese sports delegation achieved excellent results with outstanding performances. Baidu has also received thank-you letters from the Swimming Sports Center of the General Administration of Sport of China, the Mountaineering Sports Management Center of the General Administration of Sport of China, and the Chinese Athletics Association. It is understood that behind this, strong support from technological forces is indispensable. Wenxin Sports Solution relies on Baidu's powerful AI technology and provides comprehensive intelligent support for sports training and competition through deep learning, natural language processing and other technological means.
As early as 2019, Baidu launched a technical cooperation with the Chinese national diving team to develop an intelligent diving assisted training system. The system can learn from massive data and knowledge, master rich diving knowledge, provide real-time scoring, accurate quantitative analysis and other services for athletes, and assist athletes in scientific training. Wenxin Sports Solution continues to expand its application scope, covering multiple sports such as swimming, athletics, rock climbing, gymnastics, trampoline, etc.
The AI empowered sports project model has demonstrated its enormous potential and value in multiple aspects. It is reported that Baidu Wenxin's big model aims to create a leading intelligent solution for the sports industry in China, with the goal of improving athlete training efficiency, optimizing competition strategies, and enriching the audience's viewing experience.
Wang Yuxiong, Director and Professor of the Sports Economics Research Center at Central University of Finance and Economics, stated that the above solution is one of the important applications of AI technology in sports scenarios, which has significant value in improving the scientificity, pertinence, and efficiency of training, as well as promoting knowledge and experience sharing. Similar large-scale model solutions can not only be applied in the field of sports, but also play a greater role in youth sports and national fitness. They can effectively help sports participants break through time and space constraints, enhance the accessibility of scientific guidance, and play a significant role in improving residents' sports participation and consumption levels. On the other hand, with the help of AI technology, enterprises can also build new business models and enhance their sports profitability.
Intelligent Diving Assistance Training System
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