Hello everyone,
I’m an embedded software engineer currently working with STM32 microcontrollers, and I am very interested in understanding how AI is being integrated into embedded systems.
I would like to know:
What are the common approaches or frameworks used to bring AI into embedded devices?
What would be a good roadmap or step-by-step procedure to start learning and building AI-enabled embedded projects?
My goal is to upskill into Embedded AI Engineering and eventually work on real-world AI applications on resource-constrained devices.
Any guidance, resources, or personal experiences would be highly appreciated.
Thank you!
Hi Ronan,Thanks for your guidance.
Hello, there are many resources on this topic, from both Arm and ST:
https://www.arm.com/markets/iot/edge-ai
https://stm32ai.st.com/
Arm provides a number of ready-to-use examples to help get you started:
https://github.com/Arm-Examples/mlek-cmsis-pack-examples