About Julian E.

Julian E. · 2024-12-11

The STM32N6 has been officially launched yesterday at the STM32 Summit! The STM32N6 is based on the Arm® Cortex®-M55 running at 800 MHz. It is the first STM32 MCU to embed the ST Neural-ART accelerator™, an in-house developed neural processing ...

Julian E. · 2024-07-15

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...

Julian E. · 2024-01-10

Common causes for issues during the install and activation process, are network communication problems. 1. Checklist, in order of importance Antivirus silently blocking network connectionsProxy with incorrect settings (try with no proxy first)VPN bl...

Julian E. · 2024-12-20

Hello @NShut.1 , You can find these files here: workspaceNanoEdgeAI/filesLogs I will advise you to instead use the datalogger generator in NanoEdge AI Studio. AI:NanoEdge AI Studio - stm32mcu You can find all the source code here: https://githu...

Julian E. · 2024-12-20

Hello @Wangxingkun , What version of ST Edge AI are you using? I tried it and I do not get errors... This is the version I have (the last I believe) Have a good day, Julian

Julian E. · 2024-12-20

Hello @Wangxingkun, I am not an expert regarding pytorch so I will need my colleagues for a more complete answer. But they are in vacation. In the meantime, you can take a look at this code that works and should help you import torch import torch...

Julian E. · 2024-12-20

Hello @Lemanoise, I should know more about how to use LSTM properly with ST Edge AI Core on the start of next year. But for the moment I managed to use more than one hidden size with pytorch by not using the batch_first option: import torch impor...

Julian E. · 2024-12-19

Hello @Joseph_ , I think that you can look out to this document: https://www.st.com/resource/en/user_manual/dm00570145-getting-started-with-x-cube-ai-expansion-package-for-artificial-intelligence-ai-stmicroelectronics.pdf I am not familiar with t...

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STM32N6 has been officially launched

Easily optimize and benchmark AI models on a broad variety of ST devices with the ST Edge AI Developer Cloud!

NanoEdge AI Studio install/activation troubleshooting

Re: STEVAL-STWINCSV1 data collection in Nano Edge studio

Re: Error analysing LSTM model using X-Cube-AI:INTERNAL ERROR : Unkonwn dimensions : CH

Re: Error analysing LSTM model using X-Cube-AI:INTERNAL ERROR : Unkonwn dimensions : CH

Re: Error analysing LSTM model using X-Cube-AI: ""NOT IMPLEMENTED: Order of dimensions of input cannot be interpreted""

Re: How the data was sent during the "validate on target" process?