TinyML: Current Progress, Research Challenges, and Future Roadmap

Muhammad Shafique, Theocharis Theocharides, Vijay Janapa Reddy, Boris Murmann

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

TinyML: tiny in size, BIG in impact!This paper highlights the current progress, challenges and open research opportunities in the domain of tinyML, benchmarking, and emerging applications for Edge-AI.

Original languageEnglish (US)
Title of host publication2021 58th ACM/IEEE Design Automation Conference, DAC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1303-1306
Number of pages4
ISBN (Electronic)9781665432740
DOIs
StatePublished - Dec 5 2021
Event58th ACM/IEEE Design Automation Conference, DAC 2021 - San Francisco, United States
Duration: Dec 5 2021Dec 9 2021

Publication series

NameProceedings - Design Automation Conference
Volume2021-December
ISSN (Print)0738-100X

Conference

Conference58th ACM/IEEE Design Automation Conference, DAC 2021
Country/TerritoryUnited States
CitySan Francisco
Period12/5/2112/9/21

Keywords

  • Benchmarking
  • Deep Learning
  • Edge-AI
  • Machine Learning
  • TinyML

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation

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