This webinar was originally held on May 17th, 2024, and is now available for on demand viewing.
Duration: 1 hour
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Summary
Generative artificial intelligence (AI) with platforms like ChatGPT, Copilot and Gemini are all the range and a very handy tool that tends to be based in the cloud because of the massive amounts of data and computational requirements needed. Putting these into embedded microcontrollers is possible in some cases but definitely a challenge for developers.
This webinar looks at AI and machine learning (ML) on processors designed for use at the edge including mobile devices. It delves into the AI/ML models and implementation aspects to consider for these platforms as well as some of the hardware acceleration options available.
Speaker
William Wong – Senior Content Director/Editor, Electronic Design
Bill is a Senior Content Director with Endeavor Business Media and Editor of Electronic Design. He has over forty years of experience as an engineer and author.
He earned a Bachelor of Electrical Engineering at the Georgia Institute of Technology and a Masters in Computer Science from Rutgers University. He still does a bit of programming using everything from C and C++ to Rust and Ada/SPARK. Some of his PHP programming projects are in the form of Drupal modules.
He still gets his hands on software and electronic hardware that you can see on Electronic Design’s Kit Close-Up video series.