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primary topic: Edge Computing and AI for IoT: Opportunities and Challenges

Edge Computing and AI for IoT: Opportunities and Challenges
type: AcademicArticle
type: Article
abstract: The proliferation of Internet of Things (IoT) devices has led to an exponential growth in data generated at the edge of the network. Edge computing, a distributed computing paradigm that enables computation and data storage at the network edge, has emerged as a promising solution for managing this data deluge. With the integration of Artificial Intelligence (AI) technologies, edge computing can provide real-time insights and decision-making capabilities, making it a powerful tool for a variety of IoT applications which poses both opportunities and challenges. © 2023 IEEE.
date: 2023
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ConferenceItemEPrint
is part of: repository

Institute of Electrical and Electronics Engineers Inc.
type: Organization

Jimmin Min Lin
type: Person
given name: Jimmin Min
family name: Lin

Boonyaik Yaik Ooi
type: Person
given name: Boonyaik Yaik
family name: Ooi

Tong Yuen Chai
type: Person
given name: Tong
family name: Yuen Chai

Manoranjitham A.P. Muniandy
type: Person
given name: Manoranjitham A.P.
family name: Muniandy

Lim Ean Heng
type: Person
given name: Lim Ean
family name: Heng

Tien Fui
type: Person
given name: Tien
family name: Fui

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primary topic: Edge Computing and AI for IoT: Opportunities and Challenges