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...

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INTERNAL ERROR: Shape with 0 value

I encountered an error exporting the onnx model using FastestDet's model and importing it into CubeAI. I have seen others with a similar error to mine before, but I did not find a solution. What changes do I need to make to deploy this network on my ...

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ample by Visitor
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Problems with Cube AI Project

Hello,I am working on a Human Activity Recognition model with a STMU585CIU6 using Cube AI. In summary, my model takes accelerometer data from my lsm6dsox sensor, and use a frame of 2s of sampling (for ODR 104Hz, it takes 208 samples) as input for the...

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