Personal and Ubiquitous Computing
Sang-Bing Tsai WUYI University, China, Chia-Huei Wu Minghsin University of Science and Technology, Hsinchu, Taiwan Jian Mou Pusan National University, South Korea
Ubiquitous Artificial Intelligence will be capable of seeing, reasoning, and taking action based on context awareness, allowing multiple devices to function concurrently and so enhancing almost every experience.
Embedded in wearable devices operating in next-generation networks and using edge computing, federated learning, blockchains, applied natural language processing and quantum computing, the applications of ubiquitous AI are many, and include fully automated self-driving cars or the production of new vaccines.
Some of the major obstacles to realising ubiquitous artificial intelligence are data gathering, data organization, compatibility with computing elements, on-device performance optimization, heterogeneous computing and power efficiency.
Topics of interest include but are not restricted to:
Self-configuring and self-optimizing mechanisms for ubiquitous AI Power efficiency optimization Federated learning for multiple decentralized edge devices Ubiquitous artificial intelligence for an space-air-ground integrated framework Blockchain security and privacy concerns ubiquitous and pervasive computing for sustainable ecosystems Context-awareness and fault-tolerant mechanisms
Submissions: November 05, 2022
First reviews: February 15, 2023
Second reviews: May 20, 2023
Final decisions: August 28, 2023
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