Deploying machine learning on embedded devices with scarce resources is one of the most exciting developments of the past years, enabling smarter and more efficient IoT devices. Edge Impulse and Texas Instruments have partnered to combine best in class IoT microcontrollers and sensor hardware with the Edge Impulse embedded machine learning platform.

Join us for a hands-on tutorial on building a wearable fall detection device using the TI CC1352P LaunchPad and the Edge Impulse platform. Collect live data, design a neural network, and deploy it to an embedded device with no prior machine learning experience required.

Speakers:

David Schwarz, User Success Engineer at Edge Impulse

Mark Easley, TI University Program Marketing Manager at Texas Instruments