Tiny Machine Learning: Progress and Futures
Tiny Machine Learning: Progress and Futures
About this item
Full title
Author / Creator
Lin, Ji , Zhu, Ligeng , Wei-Ming, Chen , Wei-Chen, Wang and Song, Han
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Tiny Machine Learning (TinyML) is a new frontier of machine learning. By squeezing deep learning models into billions of IoT devices and microcontrollers (MCUs), we expand the scope of AI applications and enable ubiquitous intelligence. However, TinyML is challenging due to hardware constraints: the tiny memory resource makes it difficult to hold d...
Alternative Titles
Full title
Tiny Machine Learning: Progress and Futures
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_3015029694
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3015029694
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2403.19076
