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The 5th Artificial Intelligence of Things (AIoT) Workshop

  • Jian Zhang
  • , Jian Tang
  • , Yiran Chen
  • , Jie Liu
  • , Jieping Ye
  • , Marilyn Wolf
  • , Vijaykrishnan Narayanan
  • , Mani Srivastava
  • , Michael I. Jordan
  • , Victor Bahl
  • Microsoft USA
  • Ltd
  • Duke University
  • Beike Inc.
  • University of Nebraska-Lincoln
  • Pennsylvania State University
  • University of California at Los Angeles
  • University of California at Berkeley

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With advancement of recent network and chip technologies, IoT devices are becoming smarter with increasing compute power, bandwidth, and storage available on the device. This enables intelligent decision making and information transferring on the devices and unleashes the power of AIoT (Artificial Intelligence of Things) that supports applications such as smart city/agriculture/manufacturing/health care and self-driving scenarios. The AIoT Workshop is a forum for researchers, scientists, engineers, and practitioners to share and learn AI powered IoT solutions. The AIoT is a multi-disciplinary area, which include but not limited to IoT, AI/ML, embedded systems, networking, and stream analytics. The 5th AIoT workshop will be hosted in person in conjunction with the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2022).

Original languageEnglish
Title of host publicationKDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
PublisherAssociation for Computing Machinery
Pages4912-4913
Number of pages2
ISBN (Electronic)9781450393850
DOIs
StatePublished - 14 Aug 2022
Event28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022 - Washington, United States
Duration: 14 Aug 202218 Aug 2022

Publication series

NameProceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Conference

Conference28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022
Country/TerritoryUnited States
CityWashington
Period14/08/2218/08/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • 5g
  • ai/ml
  • edge computing
  • embedded systems
  • iot
  • networking
  • self-power

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