The Internet of Things in the Era of Generative AI: Vision and Challenges

2024/01/03 by Xin Wang, Wang, Xin, Zhongwei Wan +11 · 4 citations
Computer Science · #Age of Information Optimization #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #Networking and Internet Architecture (cs.NI) #Parallel #and Cluster Computing (cs.DC)

paper · pdf · doi:10.48550/arxiv.2401.01923

openalex publication_date 2024/01/03 · openalex created_date 2024/01/10 · openalex updated_date 2026/07/28

Abstract

Advancements in Generative AI hold immense promise to push Internet of Things (IoT) to the next level. In this article, we share our vision on IoT in the era of Generative AI. We discuss some of the most important applications of Generative AI in IoT-related domains. We also identify some of the most critical challenges and discuss current gaps as well as promising opportunities on enabling Generative AI for IoT. We hope this article can inspire new research on IoT in the era of Generative AI.

Cited by

• Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS
• DipSVD: Dual-importance Protected SVD for Efficient LLM Compression
• Innovative Research on IoT Architecture and Robotic Operating Platforms: Applications of Large Language Models and Generative AI
• Smaller, Smarter, Closer: The Edge of Collaborative Generative AI

Related

• Generative Artificial Intelligence for Internet of Things Computing: A Systematic Survey
• From Generative AI to Generative Internet of Things: Fundamentals, Framework, and Outlooks
• Generative AI for Internet of Things Security: Challenges and Opportunities
• Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges
• Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things