人工智慧的發展，讓機器開始有自我學習的功能，透過數據特徵建立模型以預測事件，或者是模仿人類大腦神經迴路進而層層傳遞複雜訊息，再搭配運算能力愈來愈強的硬體設備，人工智慧已然進入我們的生活。近年體育運動也開始結合人工智慧發展許多過去須仰賴大量人力才能完成的工作，如：人物追蹤與物件追蹤技術，可以更快速地了解比賽中雙方採用的戰術，以及分析比賽策略的資訊；動作辨識技術可立即提供轉播單位相關技術使用資訊；數據分析技術可提早預防運動員發生運動傷害等。由於人工智慧技術日益成熟，運用於體育運動領域的研究也會愈來愈多，語言教育機器人或運動競賽裁判機器人，也許在不久的未來將會出現在我們生活當中。

With the advances in artificial intelligence, machines can now integrate information and extract its features to build a predictive model of likely outcomes, providing more insights to make better decisions. An artificial neural network, which is based on the structure and functions of the human brain, is a series of algorithms that can filter information into layers of recognizable characteristics. The computational power of neural networks is increasing in parallel with improved development of hardware devices. Artificial intelligence has become inseparable from our daily lives because it assists us in many areas. In recent years, researchers in sports have begun to incorporate the tools of artificial intelligence to complete many tasks that used to rely on substantial labor inputs. For instance, player and object trajectory tracking makes it easier to understand team play tactics and to analyze the strategies used in games. Motion recognition provides broadcasting and live-streaming programs with quick information on what skills are deployed. Data analysis can prevent athletes from sustaining injuries. Thanks to the continual improvements in artificial intelligence, more and more studies on its application in sports are expected. Language-teaching and referee robots are likely to be introduced in the near future.