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A review of TinyML. (arXiv:2211.04448v1 [cs.LG])
Nov. 9, 2022, 2:12 a.m. | Harsha Yelchuri, Rashmi R
cs.LG updates on arXiv.org arxiv.org
In this current technological world, the application of machine learning is
becoming ubiquitous. Incorporating machine learning algorithms on extremely
low-power and inexpensive embedded devices at the edge level is now possible
due to the combination of the Internet of Things (IoT) and edge computing. To
estimate an outcome, traditional machine learning demands vast amounts of
resources. The TinyML concept for embedded machine learning attempts to push
such diversity from usual high-end approaches to low-end applications. TinyML
is a rapidly expanding …
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