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

Neural Network with Dynamic Input Size

We have created an LSTM model using Keras, and decreased its size to use it on our STM32F746G-Disco board. Our model can actually process dynamic size records. This means that, we do not need fix the size of the record. We could realize it on Google ...

Resolved! Use External Flash (QSPI) for CubeAI weights

Hi all,I would like to ask if there is a suggested procedure to move the network weights, the one generated inside network_data.h, to external memory-mapped QSPI FLASH. I've already moved both input/output data and activation to external SRAM, but I'...

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