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 …
“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 …
Overview
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 …
“Opportunities for Vision in Healthcare,” a Presentation from Woodside Capital
Vini Jolly, Executive Director at Woodside Capital, presents the “Vision Opportunities in …
“Embedded Vision: Where’s The Money?,” a Presentation from Woodside Capital
Rudy Burger, Managing Partner at Woodside Capital, presents the “Embedded Vision: Where’s …
“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 …
“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, …
“How 5G is Pushing Processing to the Edge,” a Presentation from Inseego
Dan Picker, Chief Technology Officer at Inseego, presents the “How 5G is …
“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, …
“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 …
“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 …
“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 …
“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 …
Enabling Technologies
“Driver Monitoring Systems: Present and Future,” a Presentation from XPERI
Petronel Bigioi, CTO for Imaging at XPERI, presents the “Driver Monitoring Systems: …
“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 …
“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 …
“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 …
“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 …
“Deploying Deep Learning Applications on FPGAs with MATLAB,” a Presentation from MathWorks
Jack Erickson, Principal Product Marketing Manager at MathWorks, presents the “Deploying Deep …
“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 …
“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 …
“Memory Allocation in AI and Computer Vision Applications,” a Presentation from CEVA
Rami Drucker, Machine Learning System Team Leader at CEVA, presents the “Memory …
“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 …
“Enabling Embedded AI for Healthcare,” a Presentation from VeriSilicon
Shang-Hung Lin, Vice President of Machine Learning and Neural Processor Product Development …
“Advancing Embedded Vision for an Autonomous World,” a Presentation from Qualcomm
Ning Bi, Vice President of Technology at Qualcomm, presents the “Advancing Embedded …
“Benchmarking vs. Benchmarketing: Why Should You Care?,” a Presentation from Qualcomm
Felix Baum, Director of Product Management at Qualcomm, presents the “Benchmarking vs. …
“Qualcomm AI Leading the Way with Distributed Intelligence,” a Presentation from Qualcomm
Ziad Asghar, Vice President of Product Management at Qualcomm, presents the “Qualcomm …
“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 …
“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 …
“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 …
“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 …
“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 …
“Federated Edge Computing System Architectures,” a Presentation from Intel
Vaidyanathan Krishnamoorthy, Edge Inference Solutions Architect at Intel, presents the “Federated Edge …
“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 …
“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 …
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 …
“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 …
“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 …
“Introduction to Simultaneous Localization and Mapping (SLAM),” a Presentation from Skydio
Gareth Cross, Technical Lead for State Estimation at Skydio, presents the “Introduction …
“Eye Tracking for the Future,” a Presentation from Parallel Rules
Peter Milford, President of Parallel Rules, presents the “Eye Tracking for the …
“Reinforcement Learning: a Practical Introduction,” a Presentation from Microsoft
Joe Booth, former Vice President of Engineering at Orions Systems (now part …
“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 …
“Deep Learning on Mobile Devices,” a Presentation from Siddha Ganju
Independent AI architect Siddha Ganju presents the “Deep Learning on Mobile Devices” …
“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 …
“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 …
“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 …
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, …
“Accelerating Time to an Image Processing Prototype,” a Presentation from Avnet
Adam Taylor, Founder and Principal Consultant at Adiuvo Engineering and Training, along …
“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 …
“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 …
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 …
“Modern SoCs for Consumer Robotics and AIoT,” a Presentation from Trifo
Zhe Zhang, Founder and CEO of Trifo, presents the “Modern SoCs for …
“Designing Bespoke CNNs for Target Hardware,” a Presentation from StradVision
Woonhyun Nam, Algorithms Director at StradVision, presents the “Designing Bespoke CNNs for …
“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 …
“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 …
“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 …
“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 …
“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 …
“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 …
“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 …
“Imaging Systems for Applied Reinforcement Learning Control,” a Presentation from Nanotronics
Damas Limoge, Senior R&D Engineer at Nanotronics, presents the “Imaging Systems for …
“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 …
“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 …
“Feeding the World Through Embedded Vision,” a Presentation from John Deere
Travis Davis, Delivery Manager for the Automation Delivery team with the Intelligent …
“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 …
“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 …
“Safer and More Efficient Intersections with Computer Vision,” a Presentation from Cubic | GRIDSMART
Jeff Price, Vice President and General Manager at Cubic | GRIDSMART, presents …
“Deep Learning for Manufacturing Inspection: Case Studies,” a Presentation from FLIR Systems
Stephen Se, Senior Research Manager at FLIR Systems, presents the “Deep Learning …
“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook
Raghuraman Krishnamoorthi, Software Engineer at Facebook, presents the “Practical DNN Quantization Techniques …
“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 …
“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, …
“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 …
“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 …
“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 …
“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 …
“Accuracy: Beware of Red Herrings and Black Swans,” a Presentation from Perceive
Steve Teig, CEO of Perceive, presents the “Accuracy: Beware of Red Herrings …
“Recent Advances in Post-training Quantization,” a Presentation from Intel
Alexander Kozlov, Deep Learning R&D Engineer at Intel, presents the “Recent Advances …
“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 …
