Ready to download this white paper?

First Name
Last Name
Job Title
Phone Number
You may receive a request for your feedback from OpenSystems Media. Read our new Privacy Policy to understand what data we collect, why we collect it, and what we do with it.
Email Opt-in
Your download is ready!
Error - something went wrong!

Shrinking Machine Learning Down to IoT Size

April 4, 2018

Machine learning is struggling to gain adoption in embedded applications due to a high level of complexity. Fortunately, easy to-use software tools and off-the-shelf hardware platforms are now available that simplify initial creation of machine learning algorithms and allow them to be continuously optimized. Most important, these development platforms enable machine learning on embedded processors.

In this article, embedded engineers will learn about:

  • Fundamentals of machine learning
  • Tools that ease creation of machine learning algorithms
  • Embedded boards capable of supporting machine learning
Previous Article
IAR DevCon Series kicks off in San Jose
IAR DevCon Series kicks off in San Jose

Learn from the Experts in Embedded Development in a FREE Developers Conference. Application areas include S...

Next Article
Lynx accelerates secure ADAS development with LynxSecure port

ADAS vision and machine learning systems are critical in allowing autonomous vehicles to adapt to changing ...