Neuton’s Blair Newman on Machine Learning for Edge Computing

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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?
• The future of Machine learning at the edge?Listen to the podcast:

Watch the video:

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