Emerging AI Technologies for Smart Infrastructure

Wen-Huang Cheng; Jenq-Neng Hwang; Ivan Bajic; Rei Kawakami; Shiqi Wang; Jiaying Liu

doi:10.1561/116.00000030

Emerging AI Technologies for Smart Infrastructure

Wen-Huang Cheng, Jenq-Neng Hwang, Ivan Bajic, Rei Kawakami, Shiqi Wang, Jiaying Liu^*

^*Corresponding author for this work

Department of Computer Science

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

1 Citation (Scopus)

41 Downloads (CityUHK Scholars)

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.

© 2023 W.-H. Cheng, J.-N. Hwang, I. Bajic, R. Kawakami, S. Wang and J. Liu

Original language	English
Article number	e105
Journal	APSIPA Transactions on Signal and Information Processing
Volume	12
Issue number	4
Online published	12 Oct 2023
DOIs	https://doi.org/10.1561/116.00000030
Publication status	Published - 2023

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This full text is made available under CC-BY-NC 4.0. https://creativecommons.org/licenses/by-nc/4.0/

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title = "Emerging AI Technologies for Smart Infrastructure",

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.{\textcopyright} 2023 W.-H. Cheng, J.-N. Hwang, I. Bajic, R. Kawakami, S. Wang and J. Liu",

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year = "2023",

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T1 - Emerging AI Technologies for Smart Infrastructure

AU - Cheng, Wen-Huang

AU - Hwang, Jenq-Neng

AU - Bajic, Ivan

AU - Kawakami, Rei

AU - Wang, Shiqi

AU - Liu, Jiaying

PY - 2023

Y1 - 2023

N2 - 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.© 2023 W.-H. Cheng, J.-N. Hwang, I. Bajic, R. Kawakami, S. Wang and J. Liu

AB - 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.© 2023 W.-H. Cheng, J.-N. Hwang, I. Bajic, R. Kawakami, S. Wang and J. Liu

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:001087077600001

U2 - 10.1561/116.00000030

DO - 10.1561/116.00000030

M3 - RGC 21 - Publication in refereed journal

SN - 2048-7703

VL - 12

JO - APSIPA Transactions on Signal and Information Processing

JF - APSIPA Transactions on Signal and Information Processing

IS - 4

M1 - e105

ER -

Emerging AI Technologies for Smart Infrastructure

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