84 2025 TSMA 3D video and machine learning technology, AI can track athletes’ body movements, analyze their posture, speed, and angles, and assist judges in making more accurate scores. This technology reduces the burden on judges and minimizes controversies arising from subjective judgments. In summary, the application of AI in sports refereeing not only improves the accuracy and fairness of decisions but also provides comprehensive support in real-time analysis and replays. AI in sports news editing and broadcasting The application of AI in sports news editing and broadcasting has significantly improved the efficiency and quality of news production. Firstly, AI technology can automatically generate news reports. Using natural language processing (NLP) technology, AI can extract key information from match data and automatically write news articles. For example, after a sport match, AI can instantly generate a match report, including the score, key events, and player performances, ensuring the timeliness and accuracy of the news. Secondly, AI plays an important role in video editing. AI can automatically edit the highlights of a match, create highlight videos, and add appropriate subtitles and commentary. This not only saves manpower but also enhances the appeal of video content. Additionally, AI can enhance the personalization of news broadcasting. By analyzing viewers’ preferences and behavior data, AI can recommend personalized news content and automatically generate news reports tailored to different audiences. For example, AI can provide real-time updates and analysis of local matches based on viewers’ geographic locations and interests. In summary, the application of AI in sports news editing and broadcasting not only improves the efficiency and quality of news production but also provides comprehensive support in automatic news generation, video editing, and personalized recommendations.
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