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Keynote and General Session

“Streamline, Simplify, and Solve for the Edge of the Future,” a General Session Presentation from Intel

Bill Pearson, Vice President of the Internet of Things Group and General Manager of Developer Enabling at Intel, presents the “Streamline, Simplify, and Solve for …

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“A New Golden Age for Computer Architecture: Processor Innovation to Enable Ubiquitous AI,” a Keynote Presentation from David Patterson

David Patterson, UC Berkeley professor of the graduate school, a Google distinguished engineer and the RISC-V Foundation Vice-Chair, presents the “A New Golden Age for …

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Business Insights

“Market Trends in Automotive Perception: From Insect-Like to Human-Like Intelligence,” a Presentation from Yole Développement

Pierre Cambou, Principal Analyst at Yole Développement, presents the “Market Trends in …

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“Opportunities for Vision in Healthcare,” a Presentation from Woodside Capital

Vini Jolly, Executive Director at Woodside Capital, presents the “Vision Opportunities in …

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“Embedded Vision: Where’s The Money?,” a Presentation from Woodside Capital

Rudy Burger, Managing Partner at Woodside Capital, presents the “Embedded Vision: Where’s …

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“Embedded Vision in ADAS and Autonomous Vehicles: Navigating the New Reality,” a Presentation from Strategy Analytics

Mark Fitzgerald, Director of Autonomous Vehicle Service at Strategy Analytics, presents the …

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“Using Learning at the Edge to Deliver Business Value,” a Presentation from LG Electronics

Vera Serdiukova, Product Manager in the Advanced AI team at LG Electronics, …

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“How 5G is Pushing Processing to the Edge,” a Presentation from Inseego

Dan Picker, Chief Technology Officer at Inseego, presents the “How 5G is …

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“Lessons From the Start-up Trenches,” a Presentation by and Interview with Oliver Gunasekara

Independent consultant Oliver Gunasekara and Shweta Shrivastava, chief product officer at Nauto, …

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“Can You Patent Your AI-Based Invention?,” a Presentation from Fitch, Even, Tabin & Flannery LLP

Thomas Lebens, Partner at Fitch, Even, Tabin & Flannery LLP, presents the …

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“Key Trends and Challenges in Practical Visual AI and Computer Vision,” a Presentation from the Edge AI and Vision Alliance

Jeff Bier, Founder of the Edge AI and Vision Alliance and President …

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“Machine Learning for the Real World: What is Acceptable Accuracy, and How Can You Achieve It?,” a Presentation from Arm

Tim Hartley, Director of Product and Marketing at Arm, presents the “Machine …

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“The Opportunities and Challenges in Realizing the Potential for AI at the Edge: An Update from the Front Lines,” An Embedded Vision Summit Expert Panel Discussion

Samir Kumar, Managing Director at Microsoft M12, moderates the “Opportunities and Challenges …

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Enabling Technologies

“Driver Monitoring Systems: Present and Future,” a Presentation from XPERI

Petronel Bigioi, CTO for Imaging at XPERI, presents the “Driver Monitoring Systems: …

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“High-Bandwidth Multicamera Systems with PCIe Backbone: Snapshot and Outlook on Technologies and Applications,” a Presentation from XIMEA

Kevin Toerne, Sales Engineer at XIMEA, presents the “High-Bandwidth Multicamera Systems with …

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“Vitis and Vitis AI: Application Acceleration from Cloud to Edge,” a Presentation from Xilinx

Vinod Kathail, Fellow and Chief Architect at Xilinx, presents the “Vitis and …

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“Making Edge AI Inference Programming Easier and Flexible,” a Presentation from Texas Instruments

Manisha Agrawal, Product Marketing Engineer at Texas Instruments, presents the “Making Edge …

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“OpenCV: Rapid Growth and Evolution Beyond the Library,” a Presentation from OpenCV

Dr. Satya Mallick, CEO of OpenCV.org and OpenCV.ai, presents the “OpenCV: Rapid …

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“Deploying Deep Learning Applications on FPGAs with MATLAB,” a Presentation from MathWorks

Jack Erickson, Principal Product Marketing Manager at MathWorks, presents the “Deploying Deep …

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“How to Create Your Own AI-Enabled Camera Solution in Days,” a Presentation from IDS Imaging Development Systems

Carsten Traupe, Director of Product Management at IDS Imaging Development Systems, presents …

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“Lessons Learned from the Deployment of Deep Learning Applications In Edge Devices,” a Presentation from Hailo

Orr Danon, Founder and CEO of Hailo, presents the “Lessons Learned from …

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“Memory Allocation in AI and Computer Vision Applications,” a Presentation from CEVA

Rami Drucker, Machine Learning System Team Leader at CEVA, presents the “Memory …

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“Designing Cameras to Detect the “Invisible”: Handling Edge Cases Without Supervision,” a Presentation from Algolux

Felix Heide, Co-Founder and Chief Technology Officer at Algolux, presents the “Designing …

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“Enabling Embedded AI for Healthcare,” a Presentation from VeriSilicon

Shang-Hung Lin, Vice President of Machine Learning and Neural Processor Product Development …

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“Advancing Embedded Vision for an Autonomous World,” a Presentation from Qualcomm

Ning Bi, Vice President of Technology at Qualcomm, presents the “Advancing Embedded …

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“Benchmarking vs. Benchmarketing: Why Should You Care?,” a Presentation from Qualcomm

Felix Baum, Director of Product Management at Qualcomm, presents the “Benchmarking vs. …

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“Qualcomm AI Leading the Way with Distributed Intelligence,” a Presentation from Qualcomm

Ziad Asghar, Vice President of Product Management at Qualcomm, presents the “Qualcomm …

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“Ergo: Perceive’s Chip – Data Center-Class Inference in Edge Devices at Ultra-Low Power,” a Presentation from Perceive

Steve Teig, CEO of Perceive, presents the “Ergo: Perceive’s Chip – Data …

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“Machine-Learning-Based Perception on a Tiny, Low-Power FPGA,” a Presentation from Lattice Semiconductor

Hoon Choi, Fellow at Lattice Semiconductor, presents the “Machine-Learning-Based Perception on a …

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“Cadence Tensilica Edge AI Processor IP Solutions for Broad Market Use Cases,” a Presentation from Cadence

Pulin Desai, Vision and AI Product Marketing Group Director at Cadence, presents …

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“Smarter Manufacturing with Intel’s Deep Learning-Based Machine Vision,” a Presentation from Intel

Tara K. Thimmanaik, Solutions Architect at Intel, presents the “Smarter Manufacturing with …

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“Acceleration of Deep Learning Using OpenVINO: 3D Seismic Case Study,” a Presentation from Intel

Manas Pathak, Global AI Lead for Oil and Gas at Intel, presents …

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“Federated Edge Computing System Architectures,” a Presentation from Intel

Vaidyanathan Krishnamoorthy, Edge Inference Solutions Architect at Intel, presents the “Federated Edge …

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“Edge Inferencing—Scalability with Intel Vision Accelerator Design Cards,” a Presentation from Intel

Rama Karamsetty, Global Marketing Manager at Intel, presents the “Edge Inferencing—Scalability with …

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“Getting Efficient DNN Inference Performance: Is It Really About the TOPS?,” a Presentation from Intel

Gary Brown, Director of AI Marketing at Intel, presents the “Getting Efficient …

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Fundamentals

“Practical Guide to Implementing Deep Neural Network Inferencing at the Edge,” a Presentation from Zebra Technologies

Toly Kotlarsky, Distinguished Member of the Technical Staff in R&D at Zebra …

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“Introducing Machine Learning and How to Teach Machines to See,” a Presentation from Tryolabs

Facundo Parodi, Research and Machine Learning Engineer at Tryolabs, presents the “Introduction …

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“Can You See What I See? The Power of Deep Learning,” a Presentation from StreamLogic

Scott Thibault, President and Founder of StreamLogic, presents the “Can You See …

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“Introduction to Simultaneous Localization and Mapping (SLAM),” a Presentation from Skydio

Gareth Cross, Technical Lead for State Estimation at Skydio, presents the “Introduction …

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“Eye Tracking for the Future,” a Presentation from Parallel Rules

Peter Milford, President of Parallel Rules, presents the “Eye Tracking for the …

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“Reinforcement Learning: a Practical Introduction,” a Presentation from Microsoft

Joe Booth, former Vice President of Engineering at Orions Systems (now part …

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“CMOS Image Sensors: A Guide to Building the Eyes of a Vision System,” a Presentation from GoPro

Jon Stern, Director of Optical Systems at GoPro, presents the “CMOS Image …

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“Deep Learning on Mobile Devices,” a Presentation from Siddha Ganju

Independent AI architect Siddha Ganju  presents the “Deep Learning on Mobile Devices” …

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“Practical Image Data Augmentation Methods for Training Deep Learning Object Detection Models,” a Presentation from EJ Technology Consultants

Evan Juras, Computer Vision Engineer at EJ Technology Consultants, presents the “Practical …

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“Deploying AI Software to Embedded Devices Using Open Standards,” a Presentation from Codeplay Software

Andrew Richards, Co-founder and CEO of Codeplay Software, presents the “Deploying AI …

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“Trends in Neural Network Topologies for Vision at the Edge,” a Presentation from Synopsys

Pierre Paulin, Director of R&D for Embedded Vision at Synopsys, presents the …

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Over the Shoulder

“Optimize, Deploy and Scale Edge AI and Video Analytics Applications,” a Presentation from NVIDIA and Amazon

Edwin Weill, Ph.D., Enterprise Data Scientist at NVIDIA, along with Ryan Vanderwerf, …

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“Accelerating Time to an Image Processing Prototype,” a Presentation from Avnet

Adam Taylor, Founder and Principal Consultant at Adiuvo Engineering and Training, along …

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“AI-powered People Detection Using Time of Flight Data,” a Presentation from Arrow Electronics and Analog Devices

Andrei Cozma, Engineering Manager at Analog Devices, presents the “AI-powered People Detection …

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“Smart Factory and Smart Life: AI Embedded Vision Camera,” a Presentation from LAON PEOPLE

Henry Sang, Business Development Manager at LAON PEOPLE, presents the “Smart Factory …

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Technical Insights

“A Computer Vision-Based Personal Trainer That Runs On Your Phone,” a Presentation from Twenty BN

Roland Memisevic, CEO, Chief Scientist and Founder of Twenty BN, presents the …

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“Modern SoCs for Consumer Robotics and AIoT,” a Presentation from Trifo

Zhe Zhang, Founder and CEO of Trifo, presents the “Modern SoCs for …

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“Designing Bespoke CNNs for Target Hardware,” a Presentation from StradVision

Woonhyun Nam, Algorithms Director at StradVision, presents the “Designing Bespoke CNNs for …

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“Tackling Extreme Visual Conditions for Autonomous UAVs In the Wild,” a Presentation from Skydio

Hayk Martiros, Head of Autonomy at Skydio, presents the “Tackling Extreme Visual …

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“Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking,” a Presentation from Seedland

Kit Thambiratnam, General Manager of the Seedland AI Center, presents the “Multi-modal …

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“New Methods for Implementation of 2-D Convolution for Convolutional Neural Networks,” a Presentation from Santa Clara University

Tokunbo Ogunfunmi, Professor of Electrical Engineering and Director of the Signal Processing …

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“Improving Power Efficiency for Edge Inferencing with Memory Management Optimizations,” a Presentation from Samsung

Nathan Levy, Project Leader at Samsung, presents the “Improving Power Efficiency for …

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“Image-Based Deep Learning for Manufacturing Fault Condition Detection,” a Presentation from Samsung

Jake Lee, Principal Engineer and Head of the Machine Learning Group at …

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“Using an ISP for Real-time Data Augmentation,” a Presentation from Pony.AI

Timofey Uvarov, Camera System Lead at Pony.AI, presents the “Using an ISP …

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“Introduction to the TVM Open Source Deep Learning Compiler Stack,” a Presentation from the University of Washington

Luis Ceze, a Professor in the Paul G. Allen School of Computer …

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“Imaging Systems for Applied Reinforcement Learning Control,” a Presentation from Nanotronics

Damas Limoge, Senior R&D Engineer at Nanotronics, presents the “Imaging Systems for …

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“MLPerf: An Industry Standard Performance Benchmark Suite for Machine Learning,” a Presentation from Facebook and Arizona State University

Carole-Jean Wu, Research Scientist at Facebook AI Research and an Associate Professor …

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“Khronos Standard APIs for Accelerating Vision and Inferencing,” a Presentation from the Khronos Group

Neil Trevett, President of the Khronos Group and Vice President of Developer …

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“Feeding the World Through Embedded Vision,” a Presentation from John Deere

Travis Davis, Delivery Manager for the Automation Delivery team with the Intelligent …

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“Challenges and Approaches for Cascaded DNNs: A Case Study of Face Detection for Face Verification,” a Presentation from Imagination Technologies

Ana Salazar, Senior Research Manager at Imagination Technologies, presents the “Challenges and …

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“Sea-thru: A Method for Removing Water from Underwater Images,” a Presentation from the Harbor Branch Oceanographic Institute

Derya Akkaynak, Engineer and Oceanographer at the Harbor Branch Oceanographic Institute, presents …

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“Safer and More Efficient Intersections with Computer Vision,” a Presentation from Cubic | GRIDSMART

Jeff Price, Vice President and General Manager at Cubic | GRIDSMART, presents …

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“Deep Learning for Manufacturing Inspection: Case Studies,” a Presentation from FLIR Systems

Stephen Se, Senior Research Manager at FLIR Systems, presents the “Deep Learning …

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“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook

Raghuraman Krishnamoorthi, Software Engineer at Facebook, presents the “Practical DNN Quantization Techniques …

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“Video Activity Recognition with Limited Data for Smart Home Applications,” a Presentation from Comcast

Hongcheng Wang, Director of Technical Research at Comcast, presents the “Video Activity …

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“Combining CNNs and Conventional Algorithms for Low-Compute Vision: A Case Study in the Garage,” a Presentation from the Chamberlain Group

Nathan Kopp, Principal Software Architect for Video Systems at the Chamberlain Group, …

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“Structures as Sensors: Smaller-Data Learning in the Physical World,” a Presentation from Carnegie Mellon University

Pei Zhang, Associate Research Professor at Carnegie Mellon University, presents the “Structures …

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“Joint Regularization of Activations and Weights for Efficient Neural Network Pruning,” a Presentation from Black Sesame Technologies

Zuoguan Wang, Senior Algorithm Manager at Black Sesame Technologies, presents the “Joint …

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“Parallelizing Machine Learning Applications in the Cloud with Kubernetes: A Case Study,” a Presentation from AMD

Rajy Meeyakhan Rawther, PMTS Software Architect in the Machine Learning Software Engineering …

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“Democratizing Computer Vision and Machine Learning with Open, Royalty-Free Standards: OpenVX,” a Presentation from AMD

Kiriti Nagesh Gowda, staff engineer in the Machine Learning and Computer Vision …

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“Accuracy: Beware of Red Herrings and Black Swans,” a Presentation from Perceive

Steve Teig, CEO of Perceive, presents the “Accuracy: Beware of Red Herrings …

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“Recent Advances in Post-training Quantization,” a Presentation from Intel

Alexander Kozlov, Deep Learning R&D Engineer at Intel, presents the “Recent Advances …

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“The Future of Image Sensors,” An Embedded Vision Summit Expert Panel Discussion

Shung Chieh, Co-founder and Vice President of Engineering at Solidspac3, moderates the …

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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