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Intro to Edge AI: Machine Learning + IoT – Maker.io Tutorial | Digi-Key Electronics

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  • Recommended by 1 person: 1 in engineering communities.
  • Presented by Shawn Hymel
  • Made by the vendor. The company whose product it covers made or sponsored it.
  • May be out of date. The tools, versions or practices it shows have likely moved on.

Beginner. No background in the topic needed.

34K views6 years ago1 recommendation

AI and machine learningHardwareTraining and serving modelsEmbedded systems

Shawn Hymel introduces the concepts of Edge AI and machine learning on resource-constrained IoT devices.

Artificial Intelligence (AI) is a field of study dealing with teaching computers to behave more like humans or other animals, and it’s been around since the 1950s. Machine Learning, on the other hand, is a subset of AI that deals with computer algorithms that learn from experience to get better at a task or function, such as recognizing faces. Collecting user data to predict browsing and shopping habits using machine learning has been helping businesses make huge leaps in marketing growth in the last few years. However, collecting, storing, and managing all that “big data” has proven to be troublesome for some companies. Additionally, the Internet of Things (IoT) is an industry term for connecting non-browser based and non-backbone computing devices to the Internet. While it might not be apparent in our lives as consumers, it has helped industry by being able to automate the monitoring of expensive equipment and track assets as they move about the world. Edge AI is a somewhat new term that combines these concepts. Instead of moving tons of raw data to a remote server, locally networked computers and embedded devices can utilize machine learning techniques to help alleviate some of the stress of network traffic. Project Link: If you would like to see a blog post discussing the ideas presented in this video, see here: digikey.com/en/maker/projects/what-is-edge-ai-machine-learni… Related Videos: Getting Started with Machine Learning Using TensorFlow and Keras youtube.com/watch?v=HCG3hFe1KYY Intro to TensorFlow Lite Part 1: Wake Word Feature Extraction youtube.com/watch?v=0fn7pj7Dutc Intro to TensorFlow Lite Part 3: Speech Recognition on Raspberry Pi youtu.be/8-vl9bNY9aI Maker.io: digikey.com/en/maker Digi-Key’s Blog - TheCircuit: digikey.com/en/blog Connect with Digi-Key on Facebook: facebook.com/digikey.electronics/ And follow us on Twitter: twitter.com/digikey

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1 person recommends this

What people say. Recommended as a quick and clear summary of the overall embedded machine learning and neural network landscape.

u/wongstain r/embedded • Recommends

On “AI in embedded software?”

…speed's risc-v microcontroller module with neural network acceleration, which has been around for a while: https://hackaday.com/2018/10/08/new-part-day-the-risc-v-chip-with-built-in-neural-networks/ Digikey's embedded machine learning series (has a quick summary of the overall AI/Neural Networks situation, goes in depth with future video parts): [video edit: saw your replies to other comments, I guess I'm mostly posting this so others can read the links if they're interested…
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