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AI SoC Architectures for Smart, Efficient Edge Computing
April 30, 2020 @ 10:00 AM - 11:00 AM
The concept of edge computing—putting low power servers close to the application instead of relying solely on “the cloud”–may not be a novel idea, but for 5G and the Internet of Things, adding AI capabilities to edge computing will be revolutionary. SoC designs will need to provide distributed intelligence in hardware to reduce energy use, reduce storage and communication costs, and create new applications via lower latency capabilities. To understand the challenges of edge computing, we need to understand what is driving its development, the types of edge computing applications, and how companies are building and deploying edge computing SoCs with IP today. Join this webinar to get insights that will help you make decisions on your next AI SoC architecture.
Attendees will learn:
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Applications driving the rise of edge computing
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How Edge Computing will reduce latency and power
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How SoCs are designed for specific edge computing segments using the proper balance of IP titles
Audience:
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SoC designers for cloud or server systems implementing AI acceleration
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Architects determining system requirements
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Design management for high-performance SoCs
Ron Lowman
Strategic Marketing Manager
Synopsys DesignWare IP
Ron Lowman joined Synopsys in 2014 and is currently the AI Strategic Marketing Manager for the Solutions Group. Ron is responsible for driving Synopsys’ Artificial Intelligence market IP initiatives, including strategic business and market trend analysis.
Prior to joining Synopsys, Lowman spent 16 years at Motorola/Freescale in Controls Engineering, Automotive Product & Test Engineering, Product Management, Business Development, Operations, and Strategy Roles. Ron holds a Bachelor of Science in Electrical Engineering from Colorado School of Mines and an MBA from the University of Texas in Austin.
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