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· 1 hour

Leveraging Artificial Intelligence (AI) Processing on Edge Devices

Thu, Jul 16, 2020 · 1:00 PM · Eastern Time (US & Canada)
About This Webinar

The introduction of low cost, high performance embedded processors coupled with improvements in Neural Network model optimization lay the foundation for AI and Computer Vision at the edge. Moving intelligence from the cloud to the edge offers many advantages including the reduction of network traffic, predicable ML inference times, and data security to name a few. Challenges exist as many development teams do not have data scientist or AI development engineers. What is needed are practical AI solutions including ML development tools, optimized inference engines and reference platforms that will abstract out the development complexities to streamline prototyping and development.

  • Development challenges and solutions which can be use to enable AI/ML at the edge to implement object detection, classification and tracking for medical and industrial use-cases
  • Visualization techniques for activity monitoring and object detection
Who can view: Everyone
Webinar Price: Free
Featured Presenters
Webinar hosting presenter
Senior Consulting Engineer, ICS
Justin is a Senior Consulting Engineer and Qt Certified Instructor at Integrated Computer Solutions, Inc. (ICS). He has taught Qt and Qt Quick/QML material for both public and on-site courses for many years. He has also written and conducted seminars on Object-Oriented GUI Design techniques. Justin earned his bachelor’s degree in Computer Engineering Technology from Northeastern University.
Webinar hosting presenter
VP of Sales and Marketing, Au-Zone Technologies
Andrew Caples has over 20 years of experience in start-ups and Fortune 500 companies in the embedded industry, and has served in a variety of roles including Product Line Management, Product Management, Technical Marketing and Sales Management. He has a B.S. in Electrical and Computer Engineering from California Polytechnic University and an MBA from the University of San Diego. His current responsibilities include driving Business Development and creating worldwide brand recognition for Au-Zone’s AI / ML Products and Services.
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