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

Abstract

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.