STM32 MCUs Machine learning & AI

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Edge AI for all. NanoEdge AI Studio autoML tool, now free for STM32 and open to all ARM Cortex-M bas

NanoEdge AI Studio v4.3 is now offered for free to all engineers, giving them the opportunity to create highly efficient TinyML libraries that can be deployed on Cortex-M based microcontrollers. In addition, other enhancements have been integrated to...

ST30449_nanoedge-ai-studio-motor (2).jpg ST30449_nanoedge-ai-studio-motor (2).jpg

Python stm32com module / tool?

Hi all.I'm trying to experiment with the stm32f7 discovery board and the MNIST dataset. I've trained the model and everything seems to be working fine and I'm running the validation app from the cubemx on the stm32.My problem is that I haven't found ...

dimtass by Associate II
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how to use public API of cubeMX AI API

We have a trained keras model, and we we are trying to deploy it on the stm32. We successfully loaded the model on cubeMX and can see the generated code in Keil.(attached .h and .c files).WE are having difficulty understanding what to pass as argumen...

Sbv by Associate II
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STM32CUBEIDE + X-CUBE-AI

I am trying to use X-cube-ai in STM32CUBEIDE but when I try to configure I am getting this error " Warning: This IP has no parameters to be configured" (image attached)The "x -cube-ai" pack has been installed I have checked in "manage embedded softwa...

Sbv by Associate II
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