Why Machine Learning on Microcontrollers? - Neil Tan (arm) - The Things Conference 2019

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Why Machine Learning on Microcontrollers?

uTensor is an opensource framework that enables Machine Learning models to be deployed on extremely resource-constrained devices (limited energy, speed, bandwidth, memory and cost). We will present the inner-workings of uTensor, its applications in IoT, how you can use and contribute to it.

Neil Tan is a developer evangelist at Arm, creator of uTensor, a software and hardware hacker. He originally joined Arm as a parallel-computing engineer before becoming a Mbed enthusiast. He loves taking on cross-domain challenges and learning people’s stories.

To learn more about LoRaWAN and about us you can go to our website.

Thanks for watching and Welcome to the Future!
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I had a hardware related doubt. This ML model is run by just converting the model into equivalent C code which is run by the esp32 core. Are there mcu boards which have separate AL/ML engines so that the ML related work can be delegated to this hardware so that the main core can perform other functions. What are some example boards in the above mentioned category. Thanks in advance for the help

dhaneshprabhu
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Great talk. It's a shame that people didn't stop quietly talking during his presentation

TheColinMcgovern
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thats nice, where can i find some related information/videos like tutorial please?

zahoorulislam