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

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_...

Resolved! Face Recognition MCU Selection

Hello,I have been conducting research for a while for a new project initiation. The project aims to design a smart access control system for 500 users using STM32. In designing this, we are implementing face recognition with FP_AI_FACEREC in the STM3...

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...

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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...