STM32 MCUs Machine learning & AI

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NanoEdge AI Studio 3.4 is out!

We are pleased to announce that the latest version of NanoEdge AI Studio is now available. This new version brings improvements in performance and support for STM32 boards, as well as new features to help users earlier in the creation of their machin...

X-CUBE-AI 8.1 is out!

We are pleased to announce that the latest version of STM32Cube.AI is now available.You can download it here. What is new in X-CUBE-AI 8.1.0? TensorFlow 2.12 and 2.12ONNX Runtime 1.15.0Host PC system: adding support for MacOS ARM systemInclu...

Quantization-aware training

Hello,Is there a way to give X-CUBE-AI a model with quantized-weights? Right now the tool is able to do a custom post-training quantization for a given Keras model. However, what if we have a model that already has quantized weights (which is the cas...

AUzpa by Associate II
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Resolved! Tensorflow Lite support X-CUBE-AI 4.0.0

Hello,I have noticed that the latest version of X-CUBE-AI (4.0.0) has support for Tensorflow Lite. Therefore I tried to analyze a SSD Mobilenet v1 network that I found on this blog post:Link to blog postLink to .tflite modelWhen analyzing the .tflite...

AUzpa by Associate II
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Error in Validation on target

Hello,I flashed my STM32F4-Discovery. If I want to validate on target I get the following error:"ERROR: no connected board(s) or invalid firmware or the board should be re-started"I think my error comes up with the firmware, but how can I solve it?Be...

THarn by Associate II
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