Talk

Real Life Embedded ML + The AI-Powered Nose

Watch Now

01:03:03

DOC 2021

Login to Watch

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."

View full profile

Edge Impulse

Edge Impulse is the leading development platform for machine learning on edge devices, free for developers and trusted by enterprises.

Website LinkedIn

Session Slides

Download Slides (PDF)

Topics Covered

ML & Deep Learning Embedded & Real-Time Systems

Talk

Real Life Embedded ML + The AI-Powered Nose

Jenny Plunkett

01:03:03 DOC 2021

Jenny Plunkett

01:03:03

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)

Formatting help

italics	surround text with asterisks
bold	surround text with two asterisks
hyperlink	[hyperlink](https://example.com) or just a bare URL
inline code	surround text with single `backticks`
code block (multi-line)	wrap on its own lines with three backticks: ``` your code here ```
~~strikethrough~~	surround text with ~~two tilde characters~~
quote	prefix with >

Upvotes Newest Oldest

No comments or questions yet. Be the first to start the conversation!

Partners & Sponsors

Edge Impulse

MathWorks

Become a Sponsor