Guest Editorial of the Special Section on Generative Artificial Intelligence With Applications on Consumer Electronics

被引:0
|
作者
Zhao, Mingbo [1 ]
Meng, Weizhi [2 ]
Liu, Bingyi [3 ]
Yang, Yimin [4 ]
机构
[1] Donghua Univ, Shanghai 200051, Peoples R China
[2] Tech Univ Denmark DTU, DK-2800 Kongens Lyngby, Denmark
[3] Wuhan Univ Technol, Wuhan 430062, Peoples R China
[4] Western Univ, London, ON N6A 3K7, Canada
关键词
Special issues and sections; Electronic equipment; Generative AI; Semantics; Natural languages; Performance evaluation;
D O I
10.1109/TCE.2024.3386369
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Consumer electronics are electronic equipment intended for everyday use, and they constitute a part of the wider electronics industry including devices and services used for entertainment, communications and recreation. In practice, consumer electronics use digital technologies to enhance performance in real-world applications, such as AI-generated content, chatbot, online retailing, automatic driving systems, fashion and apparel industry, etc., where the information in these applications usually generate a significant amount of high-quality data for creation of digital content, Semantic Comprehension or data generation and augmentation, etc. Recently, Generative Artificial Intelligence (GAI) has been gaining significant attention from society. For example, ChatGPT is a language model developed by OpenAI for building chatbot, which can efficiently understand and respond to human language in a logical and meaningful way. In addition, DALL-E-2 is another state-of-the-art GAI model, which is capable of creating unique and high-quality images from textual descriptions in a few minutes. In general, GAI techniques, as opposed to being created by human authors, is to automate the creation of large amounts of content such as images, music, and natural language, etc. Therefore, how to develop robust models for generative AI in this field of consumer electronics is of great importance.
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页码:4955 / 4957
页数:3
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