articleIEEE AccessJan 1, 2024GOLD OA

A Machine Learning-Oriented Survey on Tiny Machine Learning

LCLuigi CapogrossoFCFederico CunicoDSDong Seon ChengFFFranco FummiMCMarco Cristani

University of Verona

Indexed incrossrefdoaj

Abstract

The emergence of Tiny Machine Learning (TinyML) has positively revolutionized the field of Artificial Intelligence by promoting the joint design of resource-constrained IoT hardware devices and their learning-based software architectures. TinyML carries an essential role within the fourth and fifth industrial revolutions in helping societies, economies, and individuals employ effective AI-infused computing technologies (e.g., smart cities, automotive, and medical robotics). Given its multidisciplinary nature, the field of TinyML has been approached from many different angles: this comprehensive survey wishes to provide an up-to-date overview focused on all the learning algorithms within TinyML-based solutions.…

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113
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25.26
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100%
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183
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Authors

5

Topics & keywords

Topics
Keywords
  • Computer science
  • Artificial intelligence
  • Machine learning
  • Panorama
  • Workflow
  • Field (mathematics)
  • Software
  • Software engineering
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