TinyML as-a-Service and the challenges of machine learning at the edge

Ericsson
The TinyML as-a-Service project at Ericsson Research sets out to address the challenges that today limit the potential of machine learning (ML) paradigms at the edge of the embedded IoT world. In this post, the second post in our TinyML series, we take a closer look at the technical and non-technical challenges on our journey to making that happen. Learn more below.
Author

Hiroshi Doyu

Published

August 6, 2019

https://www.ericsson.com/en/blog/2019/12/tinyml-as-a-service

TinyML as-a-Service and the challenges of machine learning at the edge

TinyML as-a-Service and the challenges of machine learning at the edge