If you're an embedded systems developer you might think artificial intelligence is far removed from your work. Until very recently AI has existed in the cloud or on high-end application processors. But more and more AI applications are being handled at the edge and within embedded devices.

Listen to the panel, “Beyond the Buzz: Why Machine Learning Is Important in Embedded,” from the 2019 Embedded Systems Conference (ESC) in Boston, in which Design News Senior Editor Chris Wiltz spoke with Michael Anderson, Director of Technology at The PTR Group; Jacob Beningo, President of Beningo Embedded Group; and Michael Gionfriddo, Product Manager of the AI automotive software company Affectiva, to discuss AI for embedded at all levels.

They discuss what's changed in recent years that has allowed for machine learning to enter the embedded space, the tools available today for engineers looking to get started in implementing machine learning into embedded, what is driving embedded in specific use cases like automotive, and more!

Listen to the panel below:

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Chris Wiltz is a Senior Editor at  Design News covering emerging technologies including AI, VR/AR, blockchain, and robotics.

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