APSIPA Transactions on Signal and Information Processing > Vol 12 > Issue 4

Emerging AI Technologies for Smart Infrastructure

Wen-Huang Cheng, Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, Jenq-Neng Hwang, ECE Department, University of Washington, USA, Ivan Bajic, SFU Multimedia Laboratory, Simon Fraser University, Canada, Rei Kawakami, Tokyo Institute of Technology, Japan, Shiqi Wang, Department of Computer Science, City University of Hong Kong, Hong Kong, Jiaying Liu, Wangxuan Institute of Computer Technology, Peking University, China, liujiaying@pku.edu.cn
 
Suggested Citation
Wen-Huang Cheng, Jenq-Neng Hwang, Ivan Bajic, Rei Kawakami, Shiqi Wang and Jiaying Liu (2023), "Emerging AI Technologies for Smart Infrastructure", APSIPA Transactions on Signal and Information Processing: Vol. 12: No. 4, e105. http://dx.doi.org/10.1561/116.00000030

Publication Date: 12 Oct 2023
© 2023 W.-H. Cheng, J.-N. Hwang, I. Bajic, R. Kawakami, S. Wang and J. Liu
 
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This is published under the terms of CC BY-NC.

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In this article:
Introduction 
Key Factors for Successful Smart Infrastructure 
Successful Examples of Smart Infrastructure 
Technological Evolution of Smart Infrastructure 
Challenges and Opportunities for Smart Infrastructure 
Questions and Answers 
References 

Abstract

This article summarizes the panel discussion on “Emerging AI Technologies for Smart Infrastructure” organized by the U.S. Local Chapter of APSIPA on April 24, 2022. The panel discussion focuses on two topics, including the current application and future evolution of the smart infrastructure. First, several applications are discussed to analyze the key factors to build a successful smart infrastructure, which drives researchers to concentrate more on the application scenario and user demand of the smart infrastructure. Then, the future evolution direction of the smart infrastructure and potential challenges are predicted, which provides significant guidance for both the development and deployment of the smart infrastructure.

DOI:10.1561/116.00000030

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