Automatically Build tinyML Solutions on Embedded Devices

Presented by

Tina Shyuan, Senior Product Marketing Manager, Qeexo & Mary Bennion, Arm AI Ecosystem Manager, Arm

About this talk

AI on Arm Partner Webinar Qeexo and Arm IP Teach You How to Automatically Build Machine Learning Solutions for Embedded Devices with Qeexo AutoML See how easy it is to automate "tinyML" machine learning development for sensor modules with Arm Cortex-M-0-to-M-4 microprocessors – without having to write a single line of code! Qeexo's automated, end-to-end AutoML platform enables engineers, data scientists, and product managers to build multiple machine learning models in under 5 minutes. In this workshop-style webinar, we will: • Give an overview of the benefits & challenges of doing machine learning at the Edge • Walk attendees through the installation and setup of Qeexo AutoML. (Please come with a Windows or Mac laptop with the Google Chrome browser installed.) • Demo the simple data collection and visualization with our Qeexo AutoML interface • Build multiple machine learning models and deploy them to an Arm Cortex-M4-powered sensor module for live-testing with just a few clicks For a limited time, you can sign up at, for a FREE “Bronze” package where you can upload or collect datasets and automatically build lightweight machine learning models that can be deployed to, and tested on, select Arm Cortex-M4-powered sensor modules.
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