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

STM32N6

Hi,@Miguel CASTRO Related to this article.https://blog.st.com/stm32n6/You mentioned  a machine-vision image signal processor (ISP).do u mean an ISP that can convert the raw output of camera to RGB or YUV? or its something else related to computer vis...

MSale.1 by Senior
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Error generating relocatable binary

Hello,So far I've been using NN C-files generation and everything works fine. At the moment I'm migrating to a relocatable binary model. At the moment I'm in generation step and for this I've basically added --relocatable and --lib "C:/tools/X-CUBE-A...

TVare.1 by Associate III
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How can I successfully run the Tensorflow lite speech recognition example project on the STM32F469 Discovery kit using mbed cli? Is there any other way to do it? Details below.

I have tried to follow the example in the following link to build and deploy the Google tensorflow lite micro speech recognition example on the STM32F469I Discovery board using mbed cli: https://developer.arm.com/solutions/machine-learning-on-arm/dev...

TSidd.2 by Associate
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Validation error on target

I need help. I am trying to validate on target : STM32L476RG nucleo board.E200(ValidationError): stm32: Unable to bind the STM AI runtime with "network" c-model: []  connection to "serial:COM4:115200"/"COM4:115200" run-time fails  E801(HwIOError): In...