Neuton’s Blair Newman on Machine Learning for Edge Computing

[Kathleen Martin]

I spoke with Blair Newman, CTO at Neuton, about how “TinyML” is used to deploy machine learning on tiny microcontrollers at the edge.
Among the topics we covered: 

• What’s the state of edge computing? There’s some confusion about the idea, and how it relates to cloud – let’s define it.
• What is TinyML? How does it facilitate edge computing?
• I came across these two statements in my research – let’s talk about what they mean:

“TinyML is used only for the inference part of machine learning.”
“Newman and Warden believe that in a timeline of 5 years we’ll start seeing training on the edge too. Techniques such as federated learning will be increasingly important there.”

• What is AutoML? How does it relate to TinyML?

Read more and listen to the podcast: https://www.eweek.com/networking/neutons-blair-newman-machine-learning-for-edge-computing/