Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges
Fei Dou, Jin Ye, Geng Yuan, Qin Lu, Wei Niu, Haijian Sun, Le Guan,, Guoyu Lu, Gengchen Mai, Ninghao Liu, Jin Lu, Zhengliang Liu, Zihao Wu,, Chenjiao Tan, Shaochen Xu, Xianqiao Wang, Guoming Li, Lilong Chai, Sheng Li,, Jin Sun, Hongyue Sun, Yunli Shao, Changying Li, Tianming Liu

TL;DR
This paper explores the potential and challenges of integrating Artificial General Intelligence into IoT systems, highlighting opportunities across various sectors and addressing resource, security, and privacy constraints.
Contribution
It presents a conceptual framework for AGI integration in IoT and discusses key opportunities and challenges specific to resource-limited environments.
Findings
Broad application spectrum for AGI in IoT sectors
Resource constraints pose significant challenges for AGI deployment
Security and privacy are critical concerns in AGI-enabled IoT
Abstract
Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and execute tasks with human cognitive abilities, engenders significant anticipation and intrigue across scientific, commercial, and societal arenas. This fascination extends particularly to the Internet of Things (IoT), a landscape characterized by the interconnection of countless devices, sensors, and systems, collectively gathering and sharing data to enable intelligent decision-making and automation. This research embarks on an exploration of the opportunities and challenges towards achieving AGI in the context of the IoT. Specifically, it starts by outlining the fundamental principles of IoT and the critical role of Artificial Intelligence (AI) in IoT systems. Subsequently, it delves into AGI fundamentals, culminating in the formulation of a conceptual framework for AGI's seamless integration…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Context-Aware Activity Recognition Systems
