Forget weeks or days. You can now start your embedded machine learning journey in minutes!

Join Jenny Pluckett for an Introduction to TinyML using Edge Impulse.  Edge Impulse enables developers to create the next generation of intelligent device solutions with embedded Machine Learning. Machine Learning at the very edge will enable valuable use of the 99% of sensor data that is discarded today due to cost, bandwidth, or power constraints. 

Edge Impulse enables the easy collection of real sensor data, live signal processing from raw data to neural networks, testing and deployment to any target device. You can sign up for a free developer account and get started with the ST IoT Discovery board or the Arduino Nano Sense 33. Their open source SDKs allow you to collect data from or deploy code to any device.

TinyML enables exciting applications on extremely low-power MCUs. For example, you can detect human motion from just 10 minutes of training data, detect human keywords and classify audio patterns from the environment in real-time.

The presentation will include a live demo using the Arduino Nano 33 for ML in minutes, not days!  This will be followed by a Q&A session.  

All registered attendees have a chance to win an Ora Ring and they will also be giving away a limited number of Nano 33 Sense boards for asking the best questions! If you are interested you can Register Here!

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