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Intel Video AI Box—Converging AI, Media and Computing in a Compact and Open Platform


Date:  Wednesday, May 18 (Main Conference Day 2)

Start Time: 12:00 pm

End Time: 12:30 pm

As a system integrator, solution provider or AI developer, you need to run your AI applications efficiently at the edge with sufficient throughput. Does your edge device run either generic computing or deep learning inferencing, but not both? Intel Video AI Box with Core CPU and integrated Xe LP graphics offers a compact solution to run video AI analytics at the edge with the support to orchestrate AI applications and workloads in cloud-to-edge deployments. Learn about Intel’s new platform, comprising an Intel CPU with integrated graphics and the Edge AI Box for Video Analytics software package, and how it enables developing cutting-edge video solutions faster. Also explore EFLOW enablement on the platform, which allows Windows-based business applications to run rich Linux AI workload containers with Azure cloud connections for scalable deployments.

Track

Session Speakers

  • Dr. Richard Chuang is with Intel Corporation focusing on IoT and deep learning platform designs for video analytics and computer vision solutions in the Internet of Things Group. He has held various roles — such as Director of System Architecture and Solutions, Platform Manager, and Sr. Platform Architect — in developing platforms based on architectures such as CPUs, iGPUs, dGPUs, FPGAs and VPUs. He has also developed deep learning and IoT products, and end-to-end solutions for various applications. Richard holds eight U.S. patents and has published more than 90 journal/proceedings papers and white papers. Richard holds two doctorate degrees in engineering from National Taiwan University. He is an IEEE Senior Member.


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Intel Video AI Box—Converging AI, Media and Computing in a Compact and Open Platform