How much success can a "clone" have in the AI world behind sports?

Tech 2023-09-19 14:25:45 Source: Network

Chao News Client Reporter Sun YipengWhen an Olympic champion encounters their "AI avatar" in a competition, who will win?Recently, table tennis Olympic champion Xu Xin faced off with an AI robot in Hangzhou that had "replicated" her serving skills, and the on-site battle situation was very "intense". After the game, Xu Xin himself also stated that this AI robot almost matched his own hitting movements perfectly

Chao News Client Reporter Sun Yipeng

When an Olympic champion encounters their "AI avatar" in a competition, who will win?

Recently, table tennis Olympic champion Xu Xin faced off with an AI robot in Hangzhou that had "replicated" her serving skills, and the on-site battle situation was very "intense". After the game, Xu Xin himself also stated that this AI robot almost matched his own hitting movements perfectly.

The reporter learned that this arm type serving robot, which can "restore Xu Xin's eight successful abilities," is currently the first robot in China that can imitate the hitting of Olympic table tennis champions. Unlike traditional serve machines, this robot can not only accurately calculate the trajectory and hitting force of the ball under Alibaba Cloud's low latency and high speed computing power "bonus", but also control the real racket through a robotic arm, and can set rotation level, speed level, and landing point position.

In addition, in order to fully imitate the "style" of champion players, the robot, with the help of the intelligent robot system "pong smart", deeply learned most of Xu Xin's game videos since his debut through online action splitting and motion trajectory analysis, achieving "knowing oneself and the other" while also "stealing" Xu Xin's "lifelong skills".

Source official account of the 19th Asian Games in Hangzhou

As a showcase for the achievements of technological development, sports can be said to be one of the earliest fields where humans saw the enormous potential of artificial intelligence. From the past, there have been many cases where artificial intelligence imitates professional athletes through deep learning and overcomes "ontology".

As the first artificial intelligence robot to defeat the world champion of Go, Alpha Go, developed by DeepMind, a subsidiary of Google, used the "deep learning" method to leverage the advantages of big data, big computing, and big decision-making. From late 2016 to early 2017, it competed with dozens of Go masters from China, Japan, and South Korea in fast chess matches and achieved an unbeaten record of 60 consecutive wins.

At present, the advantages of such smart technologies in computing power and strategy formulation are gradually being widely combined with the training, popularization, and promotion of sports events to promote the digital transformation of traditional sports.

At the challenge competition where Xu Xin participated, behind the "AI Xu Xin" was a large LED screen. As the trainer scores or loses points with each stroke, the LED screen will synchronously present corresponding sound effects and visuals. At the end of a game, the results and data of the athletes' competition are also synchronized and "freshly released", which can provide guidance for the next training session.

According to Alibaba Group President Dong Benhong, by combining technology with sports, creating a digital sports training process can not only reduce the obstacles caused by the lack of high-quality training resources in the promotion and popularization of sports projects, but also enable more table tennis enthusiasts to enjoy higher quality training services at lower costs, helping to improve the development of table tennis on a larger scale.

In addition to promoting and popularizing sports events, the application of AI technology has also brought tangible benefits to Chinese athletes in training and competitions.

The Chinese diving team, which won gold and silver at the 21st Tokyo Olympics, adopted "3D+AI" technology in training, which not only improved the accuracy of athlete movement judgment, but also achieved the analysis of athletes' key movements using various data in three-dimensional space to display all the details of each movement.

Under the empowerment of intelligent means, coaches of diving teams can also provide targeted action guidance based on the relevant quantitative indicators of athletes. After training, athletes can also use this system to improve their diving skills like "reviewing lessons", which is very important for athletes' pre competition preparation and training work.

In addition to assisting Chinese athletes in the Summer Olympics, behind the excellent results of the Chinese team in the Winter Olympics, there is also the presence of AI.

The "Guanjun" artificial intelligence referee and coach system developed by Xiaobing Company helped the Chinese team win gold and silver in the snow sports event at last year's Beijing Winter Olympics.

According to Xu Yuanchun, the Chief Operating Officer of Xiaobing Company, the system settings of "Guanjun" can achieve accurate scoring according to the standards of the International Snow Federation, while also pointing out the function of deduction items. With the help of "artificial intelligence referees", athletes can not only understand the problems with their aerial trajectory, but also track the longitudinal time dimension based on long-term training data, helping them gradually correct training actions and improve their competitive skills.

Image Source Vision China

Taking advantage of the trend of "AI+sports", the academic community and industry are also providing new ideas for this cross-border integration. At the 2022 World Artificial Intelligence Conference, numerous universities such as Shanghai Jiao Tong University, Tsinghua University, and Shanghai Institute of Artificial Intelligence jointly released the first "Blue Book on the Development of AI+Sports" in China. Focusing on the intelligent integration and upgrading of AI technology and the entire field of sports, we will elaborate on key topics such as the Winter Olympics, the global "AI+Sports" panoramic interpretation, and the ecological research of the national "AI+Sports" industry. In addition, the first National Sports Artificial Intelligence Conference was also held in Beijing in July this year, aiming to focus on scientific issues in the field of sports and artificial intelligence, and promote the integration of theory and practice of sports and artificial intelligence.

Against the backdrop of numerous positive news, we also have reason to believe that the cross-border integration of AI and sports in the future will become a new engine to boost sports.

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