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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What is this C syntax?

The following is the code generated by X-CUBE-AI of STM32CubeIDE ,but I can't understand it. /** Array declarations section **********************************************/ /* Array#0 */ AI_ARRAY_OBJ_DECLARE( input_1_output_array, AI_ARRAY_FORMAT_...

Problem with LSTM from pytorch.

Hi,I am trying to deploy a network based on LSTM created with pytorch. The model is analysed correctly but validation on Desktop gives the following error: LOAD ERROR: exception: access violation reading 0x0000000000000004 In the MCU a hardfault rais...

ASalc.1 by Associate III
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Generated models in NanoEdge AI Studio

Hi everyone, I am working on an extrapolation task as part of a research project at the university and I compare the different models, in this case random forest models. I assume that the model complexity of the model is related to the size of the kn...

Resolved! Problem with Deploy.py from Model Zoo

 Hi,I am currently working on my Final Year Project, which involves implementing a plant disease detection model on the STM32H747i-Disco board. My project is inspired by an image classification example from the model zoo.Back in October 2023, I succe...

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chew by Associate III
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