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    Edge Computing and TinyML

    Oct. 10, 2024
    Edge computing often had limited power, and compute resources for machine-learning support needs to fit within these constraints.
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    Edge computing refers to running AI/ML without needing connections to the cloud to operate. TinyML solutions are those that can run at the edge using low-end computing solutions. These may, but need not always, incorporate hardware acceleration. 

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    The inference-acceleration market has heated up dramatically, and in turn, it’s led to many misconceptions circulating amongst ill-informed vendors and customers. This article...
    William Wong | Electronic Design
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    Maxim's AI Cube packs in dual MAX78000 AI accelerators into this miniature reference design kit.
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    Bringing AI to embedded devices at the edge hasn’t been for the faint-hearted. However, that’s about to change.
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    NXP's Robert Oshana discusses issues regarding machine learning at the edge.
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    AI and machine learning, including tinyML, can run on microcontrollers and small SoCs.
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    TinyML Resources

    Read More About TinyML

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    AI and machine learning, including tinyML, can run on microcontrollers and small SoCs.
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    This TechXchange targets microcontrollers that can support TinyML
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    About the Author

    William G. Wong | Senior Content Director - Electronic Design and Microwaves & RF

    I am Editor of Electronic Design focusing on embedded, software, and systems. As Senior Content Director, I also manage Microwaves & RF and I work with a great team of editors to provide engineers, programmers, developers and technical managers with interesting and useful articles and videos on a regular basis. Check out our free newsletters to see the latest content.

    You can send press releases for new products for possible coverage on the website. I am also interested in receiving contributed articles for publishing on our website. Use our template and send to me along with a signed release form. 

    Check out my blog, AltEmbedded on Electronic Design, as well as his latest articles on this site that are listed below. 

    You can visit my social media via these links:

    I earned a Bachelor of Electrical Engineering at the Georgia Institute of Technology and a Masters in Computer Science from Rutgers University. I still do a bit of programming using everything from C and C++ to Rust and Ada/SPARK. I do a bit of PHP programming for Drupal websites. I have posted a few Drupal modules.  

    I still get a hand on software and electronic hardware. Some of this can be found on our Kit Close-Up video series. You can also see me on many of our TechXchange Talk videos. I am interested in a range of projects from robotics to artificial intelligence. 

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