AI Tech Talk: Optimized C Code Generation for Ultra-efficient tinyML Applications | Imagimob

Register for our upcoming talks: You can also download the slide deck, and view past tech talks using the link above. In this tech talk, we were joined by our AI Partner Imagimob to talk all about optimising C-code generation for tinyML applications. 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 uses different applications from real customers as examples, such as audio applications, condition monitoring and gesture control. 00:00 Welcome and intros 02:55 Presentation start 09:10 Demo of Imagimob Studio 29:43 Q&A If you enjoyed this video, make sure to add us on twitter so you c