The free online platform (formerly named STM32Cube.AI Developer Cloud) now supports MPUs and smart sensors in addition to MCUs. It also supports AI hardware acceleration (NPU) on compatible devices. Leveraging the ST Edge AI Core technology, the to...
Board - B-L4S5I-IOT01A BoardAI application tool - edgeimpulseIDE - STM32CubeIDE 1.15.11. AI model generated from edge impulse AI platform for B-L4S5I-IOT01A Board. Package downloaded.2. CUBE mx generate code for B-L4S5I-IOT01A Board.3. Edge-Impulse ...
how to configure LIS2DUX12 for Machine learning core(MLC)-ARDUINO IDE
example for the step counter function configuration - arduino IDE
To STM,Subject: NanoEdge AI package not compile with B-L4S5I-IOT01A Board.Board - B-L4S5I-IOT01A BoardAI application tool - NanoEdge AI StudioCUBEMXIDE - STM32CubeIDE 1.15.11. AI model generate from NanoEdge AI Studio for B-L4S5I-IOT01A Board. Packa...
LIS2DUX12-I2C operation-for step counter-how it works
lis2dux12 -mlc implementation .cpp code
How to configure and use machine learning core to develop customized active recognition such as sitting and lying-ardunino ide
I have obtained a model by using Google Colab and translate it through TF Lite. I could apply validate on target and validate on desktop process and I did not get any error. However, once CubeAI generated related .h files and I used them, I got two e...
I need to tune PID coefficients for a set of motor controllers. I’d like to use NanoEdge AI studio, but I’m not sure it supports what I need. The input to the model is to be a set of four error values and the output is a set of coefficients. NanoEdg...
hello,Now I'm trying to implement ML library created by NanoEdgeAI Studio to our STM32C0 target board.My anomaly detection ML looks work fine at this time, but I wonder that every time after boot the system I have to learn normal case.For our applica...