So you’re an embedded or IoT developer, and there’s been an edict from on high that you need to start integrating AI into your design. And that’s about all you have to go on.
So where do you start? First of all, you’re not a machine learning aficionado or experienced data scientist. You’ve also been targeting resource-constrained embedded systems. Even if you had the expertise and the equipment you needed, this new initiative would add months to your development cycle if not more.
But there are solutions that exist in the sweet spot of the Venn diagram between artificial intelligence and embedded engineering. For instance, the SensiML Analytics Toolkit is a simple, intuitive environment that walks developers step-by-step through the process of selecting and algorithm, tuning it to their performance and memory requirements, and generating libraries or binaries that can be deployed immediately onto a target device.
In this episode of Embedded Toolbox, Chris Rogers, the CEO and Founder of SensiML, walks us through the creation of an intelligent gesture recognition application in just a few minutes using the SensiML Analytics Toolkit. He then showcases the outcome on a punching bag in his office.
Tune in. This one's a knockout.
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