Manas Pathak, Global AI Lead for Oil and Gas at Intel, presents the “Acceleration of Deep Learning Using OpenVINO: 3D Seismic Case Study” tutorial at the September 2020 Embedded Vision Summit. The use of deep learning for automatic seismic data interpretation is gaining the attention of many researchers across the oil and gas industry. The […]
Vaidyanathan Krishnamoorthy, Edge Inference Solutions Architect at Intel, presents the “Federated Edge Computing System Architectures” tutorial at the September 2020 Embedded Vision Summit. With ever-increasing amounts of video and other sensor data, and growing requirements for privacy and low latency, inferencing at the edge is increasingly attractive. But there are many ways to allocate and
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Rama Karamsetty, Global Marketing Manager at Intel, presents the “Edge Inferencing—Scalability with Intel Vision Accelerator Design Cards” tutorial at the September 2020 Embedded Vision Summit. Are you trying to deploy AI solutions at the edge, but running into scalability challenges that are making it difficult to meet your performance, power and price targets without creating
Gary Brown, Director of AI Marketing at Intel, presents the “Getting Efficient DNN Inference Performance: Is It Really About the TOPS?” tutorial at the September 2020 Embedded Vision Summit. This presentation looks at how performance is measured among deep learning inference platforms, starting with the simple peak TOPS metric, why it’s used and why it
Edwin Weill, Ph.D., Enterprise Data Scientist at NVIDIA, along with Ryan Vanderwerf, Partner Solutions Architect at Amazon Web Services, present the “Optimize, Deploy and Scale Edge AI and Video Analytics Applications” tutorial at the September 2020 Embedded Vision Summit. In this Over-the-Shoulder tutorial, you will learn how to use AWS… “Optimize, Deploy and Scale Edge
Adam Taylor, Founder and Principal Consultant at Adiuvo Engineering and Training, along with Dan Rozwood, Engineer, and Kevin Keryk, Software Engineering Manager and Machine Learning Specialist, both of Avnet, present the “Accelerating Time to an Image Processing Prototype” tutorial at the September 2020 Embedded Vision Summit. In this Over-the-Shoulder session, you will learn how you
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Andrei Cozma, Engineering Manager at Analog Devices, presents the “AI-powered People Detection Using Time of Flight Data” tutorial at the September 2020 Embedded Vision Summit. Arrow Electronics and Analog Devices have teamed up to provide end-users with a Time of Flight development kit that includes hardware, software and algorithms for developing applications that require 3D
Henry Sang, Business Development Manager at LAON PEOPLE, presents the “Smart Factory and Smart Life: AI Embedded Vision Camera” tutorial at the September 2020 Embedded Vision Summit. In this session, you’ll hear about how to use the LAON PEOPLE AI Edge Camera and its associated software solutions. This smart camera is powered by the company’s
Dean Kamen, founder of DEKA Research and Development, presents the “From Mobility to Medicine: Vision Enables the Next Generation of Innovation” tutorial at the May 2018 Embedded Vision Summit. In this keynote presentation, legendary inventor Dean Kamen explain why he believes the time is right for computer vision to be used everywhere. In Kamen’s work,
Christine Cheng, co-chair of the inference benchmark working group at MLPerf and a senior machine learning optimization engineer at Intel, delivers the presentation “MLPerf: An Industry Standard Performance Benchmark Suite for Machine Learning” at the Edge AI and Vision Alliance’s July 2020 Edge AI and Vision Innovation Forum. Cheng explains how MLPerf’s inference benchmark suite
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