Quick Poll: How are You Using AI on the Edge?
Artificial intelligence (AI) can add a lot to the functionality of edge devices. However, moving support for AI models to the devices can eliminate the need for connectivity, improve response time, and reduce power requirements even if limited connectivity is provided. In this poll, we want to see how engineers and programmers are taking advantage of machine learning in edge applications.
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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.
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Check out my blog, AltEmbedded on Electronic Design, as well as his latest articles on this site that are listed below.
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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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