计算机科学
人工智能
广播(网络)
基础(证据)
大数据
深度学习
人工智能应用
数据科学
万维网
政治学
计算机安全
法学
操作系统
出处
期刊:Lecture notes on data engineering and communications technologies
日期:2021-12-10
卷期号:: 1093-1100
被引量:5
标识
DOI:10.1007/978-981-16-7466-2_121
摘要
The essay critically analysed the application of AI in broadcasting and media sector, with specific focus on the critical case study of AI news anchor. The relevant concepts, theories and frameworks of AI and its application in media were reviewed. Then, these concepts were used to critically analyse the case of AI news anchor. From the literature, the foundation framework of AI is machine learning, deep learning, neural networks and big data, which make machine as smart as human. To conclude AI's application in the AI news anchor, current AI technologies can make AI anchor have synthesised voice and digitally manipulated face though the input content from developers. However, the technology of AI is not mature, and there are still many limitations for AI's adoption in media. The future trend of AI news anchor will be interactive broadcasting and emotional AI anchor.
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