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Using AI and Machine Learning in Embedded Software Development

suriyakumar

Hello everyone,

I'm interested in discussing the intersection of AI and Machine Learning with embedded software development. With the advancements in technology and the rise of the Internet of Things (IoT), AI and Machine Learning are becoming more integrated into embedded systems.

I wanted to start this discussion to explore how AI and Machine Learning can be utilized in embedded software development. Here are some questions to get us started:

  1. What are some examples of AI and Machine Learning being used in embedded systems?
  2. How can AI and Machine Learning improve the performance and efficiency of embedded software?
  3. What challenges are there when integrating AI and Machine Learning into embedded systems?
  4. What tools and resources are available for developers interested in integrating AI and Machine Learning into their embedded software projects?

Please feel free to share your experiences and thoughts on this topic. I'm excited to hear what everyone has to say!

Parents

  • Using AI & ML to do embedded SW development , like using AI to create new art based from the work of previous artists ?  Discussion on points 1 & 3 are available on the web. Point 2  needs alot of data collected and a reference point on what is the efficiency metric really is - power consumption, idle time , time available for collecting real time data, data exchange rate between layered devices ?  

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  • Using AI & ML to do embedded SW development , like using AI to create new art based from the work of previous artists ?  Discussion on points 1 & 3 are available on the web. Point 2  needs alot of data collected and a reference point on what is the efficiency metric really is - power consumption, idle time , time available for collecting real time data, data exchange rate between layered devices ?  

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