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Machine learning is cool, but requires clusters of GPUs. But what if we can put machine learning on the edge? It would enable new use cases such as sensor fusion, federated learning, or super-advanced compression through auto-encoders. uTensor and CMSIS-NN make it possible for microcontrollers that cost <1$.
Videos in this presentation:
Slide 12: https://www.youtube.com/watch?v=FhbCAd0sO1c
Slide 23: https://twitter.com/janjongboom/status/953014129580748800
Slide 25: https://www.youtube.com/watch?v=PdWi_fvY9Og
Presentation for Thing-to-Thing Research Group during IETF 101 in London.