Collection
Generative AI for Future Consumer Electronics
Generative AI is a hot topic of research that is garnering significant attention of the researchers. The development of transformers, large language models, auto-encoders, etc., have augmented the capabilities of generative AI and have demonstrated in potential applications. Consumer electronics is one such field that can be positively impacted by this technology. This Topical Collection aims to provide a platform for researchers to identify and discuss the current trends and future research directions in generative AI for consumer electronics.
The topics of interest in this collection include (but are not limited to): (1) Generative AI models and their limitations. (2) Generative AI for analyzing customer data. (3) Chat-bots for enhanced customer experience. (4) Ethical concerns and model bias. (5) Transformers, encoders, and GANs. (6) Virtual try-on using Generative AI. (7) Virtual reality and metaverse. (8) Generative AI for wearables. (9) Generative AI based Smart phone applications.
Editors
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Bhargav Appasani
Bhargav Appasani, Ph.D., Kalinga Institute of Industrial Technology, India. His research interests include Machine Learning, Smart Grid, Metamaterials and Healthcare electronics.
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Murthy Cherukuri
Murthy Cherukuri, Ph.D., National Institute of Science and Technology, India. His research interests include Power System, Smart Grid, and Instrumentation.
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Kunja Bihari Swain
Kunja Bihari Swain, Ph.D., National Institute of Science and Technology, India. His research interests include Machine Learning and Virtual Instrumentation.
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Nicu Bizon
Professor, Nicu Bizon, Ph.D., University of Pitesti, Romania. His research interests include Artificial Intelligence, Energy Generation, and Electronic devices.
