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Optimized C Code Generation for Ultra-efficient tinyML Applications
Speaker: Johan Malm, ML Developer @Imagimob

Writing C code for embedded systems is known to be slow and error prone. The solution? Imagimob Studio. It can turn a .h5-file containing a machine learning model into C code with only a click of a button. Optimizations for new AI accelerators and new network layers are easily added to Imagimob Studio. The C code can run on any platform since no external runtime libraries are needed. This talk will use different applications from real customers as examples, such as audio applications, condition monitoring and gesture control.

This talk is part of the bi-weekly AI Virtual Tech Talk Series: https://developer.arm.com/solutions/machine-learning-on-arm/ai-virtual-tech-talks

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May 25, 2021 04:00 PM in London

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Speakers

Johan Malm
ML Developer @Imagimob
Johan Malm, Ph.D., is a specialist in numerical analysis and algorithm development. He works as a machine learning developer at Imagimob.