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

Guidelines for ASC from FP-AI-SENSING1

Did you ever prepare a guideline like this one but for ASC instead?I have my own two-classes NN, keras model and the B-L475E-IOT01.After replacing asc and asc_data ...

MSant.11 by Associate III
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Wavelet implementation on an ST Micro MCU

There are several threads concerning FFT's on a ST Micro based ARM processor. We're developing CNN based bearing failure detection. Multiple papers have indicated efficacy of wavelet transforms as a CNN input. Are there threads concerning implementat...

RWash.3 by Associate
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