Real Life Embedded ML + The AI-Powered Nose - presented by Jenny Plunkett

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About Jenny Plunkett

Jenny Plunkett is a software engineer, technical speaker, and content creator, working as a Senior Developer Relations Engineer at Edge Impulse. Since graduating from The University of Texas, she has been working in the IoT space, including roles in customer engineering and developer support for Arm Mbed, as well as consulting engineering for Pelion IoT. Jenny is the co-author of the O’Reilly book "AI at the Edge: Solving Real World Problems with Embedded Machine Learning."

Real Life Embedded ML + The AI-Powered Nose

Jenny Plunkett · Edge Impulse · Watch Now · DSP Online Conference 2021 · Duration: 01:03:03

Abstract Questions & Comments

So you want to bring the power of edge intelligence to your IoT device, how do you get started?
Utilize data-driven engineering to collect your sensor data and upload directly into Edge Impulse
Examples of real life applications of Edge AI for IoT microcontrollers (including an AI-powered nose)

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