Overcoming AI SoC Design Challenges

Thu, Sep 20, 2018 9:02 AM PDT{LOCAL_TZ}

The size of the artificial intelligence (AI) market worldwide is expected to be valued at up to $89.85 billion U.S. dollars.  New investments in AI semiconductor design are focused at adding deep learning capabilities in SoCs designed for a wide range of markets including IoT, automotive, mobile, and more. Designing complex deep learning algorithm models, such as convolutional neural networks (CNN), introduce a new set of unique challenges. Attend this webinar to find out how Synopsys is helping designers address artificial intelligence SoC design challenges with AI-ready IP.

Attendees will learn about:
  • The different SoC architectures that are adding deep learning functionality
  • The unique deep learning SoC design requirements
  • How to meet processing power, memory performance, and real-time data connectivity requirements

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Ron Lowman
Strategic Marketing Manager

Ron Lowman is the Strategic Marketing Manager for IoT and artificial intelligence.  Prior to joining Synopsys, Ron spent 16 years at Freescale within their MCU division.  His background includes stints in strategy, business development, product marketing, engineering roles supporting IC test for automotive engine controllers, and factory automation and controls design.  Ron holds a Bachelor of Science degree in Electrical Engineering from The Colorado School of Mines and a Master’s degree in Business Administration from the University of Texas in Austin.
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