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2020 Sessions

2021 sessions are coming soon!

What sets our conference apart from the rest? The content.

Our team at the Embedded Vision Summit goes to great lengths to curate talks on the most pressing current and future topics happening in the computer vision and edge AI space—all in an effort to help professionals solve real-world problems.

Check out our 2020 conference talks below to get a feel of what to expect in 2021!

(Select specific time blocks and tracks to filter down to the sessions most important to you.)

Tuesday, September 15, 2020:

9:00am - 10:00am
A New Golden Age for Computer Architecture: Processor Innovation to Enable Ubiquitous AI
By David Patterson Professor, UC Berkeley

Keynote
9:00 AM
10:00am - 10:30am
Streamline, Simplify, and Solve for the Edge of the Future
By Bill Pearson VP, IOTG/GM Developer Enabling, Intel

General Session
Technical Insights
10:30am - 11:00am
Cadence Tensilica Edge AI Processor IP Solutions for Broad Market Use Cases
By Pulin Desai Vision and AI Product Marketing, Cadence

10:30 AM
Enabling Technologies
11:00am - 11:30am
Ergo: Perceive’s Chip – Data Center-Class Inference in Edge Devices at Ultra-Low Power
By Steve Teig CEO, Perceive

Enabling Technologies
11:00 AM
11:30am - 12:00pm
Advancing Embedded Vision for an Autonomous World
By Ning Bi VP of Technology, Qualcomm

Enabling Technologies
11:30 AM
12:00pm - 12:30pm
How to Create Your Own AI-Enabled Camera Solution in Days
By Carsten Traupe Director, Product Management, IDS Imaging

Enabling Technologies
12:00 PM
12:30pm - 1:00pm
Smarter Manufacturing with Intel’s Deep Learning-Based Machine Vision
By Tara K. Thimmanaik Solutions Architect, Intel

Enabling Technologies
12:30 PM
1:00pm - 2:00pm
An Introduction to Machine Learning and How to Teach Machines to See
By Facundo Parodi Research and Machine Learning Engineer, Tryolabs

Fundamentals
1:00 PM
1:00pm - 1:30pm
Video Activity Recognition with Limited Data for Smart Home Applications
By Hongcheng Wang Director, Technical Research, Comcast

Technical Insights
1:00 PM
1:00pm - 1:30pm
Deep Learning for Manufacturing Inspection: Case Studies
By Stephen Se Senior Research Manager, FLIR Systems, Inc.

Technical Insights
1:00 PM
1:00pm - 1:30pm
Embedded Vision: Where’s The Money?
By Rudy Burger Managing Partner, Woodside Capital

Business Insights
1:00 PM
1:30pm - 2:00pm
Image-Based Deep Learning for Manufacturing Fault Condition Detection
By Jake Lee Principal Engineer, Head of Machine Learning Group, Samsung

Technical Insights
1:30 PM
1:30pm - 2:00pm
Machine Learning for the Real World: What is Acceptable Accuracy, and How Can You Achieve It?
By Tim Hartley Director Product & Marketing, Arm

Business Insights
1:30 PM
1:30pm - 2:00pm
New Methods for Implementation of 2-D Convolution for Convolutional Neural Networks
By Tokunbo Ogunfunmi Professor of Electrical Engineering and Director of the Signal Processing Research Laboratory, Santa Clara University

Technical Insights
1:30 PM

Wednesday, September 16, 2020:

9:00am - 9:45am
Expert Bar with Cadence: Enabling AI at the Edge with Tensilica Processors
By Amol Borkar Senior Product Marketing Manager, Pulin Desai Vision and AI Product Marketing, Cadence

9:00 AM
Expert Bar
10:00am - 10:45am
Over-the-Shoulder Tutorial: Optimize, Deploy and Scale Edge AI and Video Analytics Applications
By Ryan Vanderwerf Partner Solutions Architect, Amazon Web Services, Edwin Weill, Ph.D. Enterprise Data Scientist, NVIDIA

10:00 AM
Over-the-Shoulder Tutorial
10:00am - 10:45am
Over-the-Shoulder Tutorial: AI Powered People Detection Using Time of Flight Data
By Andrei Cozma Engineering Manager, ADI, Perfecto Martinez Technical Marketing Manager, Arrow Electronics

10:00 AM
Over-the-Shoulder Tutorial
11:00am - 11:45am
Over-the-Shoulder Tutorial: Accelerating Time to an Image Processing Prototype
By Dan Rozwood Engineer, Avnet, Kevin Keryk Software Engineering Manager and Machine Learning Specialist, Avnet, Adam Taylor Founder and Principal Consultant, Adiuvo Engineering and Training

11:00 AM
Over-the-Shoulder Tutorial
12:00pm - 12:45pm
Expert Bar on Low-Power AI with Lattice Semiconductor
By Hussein Osman Product Marketing Manager, Lattice Semiconductor, Hoon Choi Fellow, Lattice

12:00 PM
Expert Bar
1:00pm - 1:45pm
Expert Bar with BDTI: Avoiding Common Mistakes in Designing Edge AI Vision Devices
By Shehrzad Qureshi Senior Engineer, BDTI, Mihran Touriguian Senior Engineer, BDTI

1:00 PM
Expert Bar
2:00pm - 2:45pm
Over-the-Shoulder Tutorial: Using the LAON PEOPLE AI Edge Camera and Solutions
By Henry Woo Sang Consultant, Ki Wook Yoon CTO, LAON PEOPLE Inc., Suk Joong Lee CEO, LAON PEOPLE Inc.

Over-the-Shoulder Tutorial
2:00 PM

Thursday, September 17, 2020:

9:30am - 10:00am
Can you see what I See? The Power of Deep Learning
By Scott Thibault President and Founder, StreamLogic

9:30 AM
Fundamentals
9:30am - 10:00am
Accuracy: Beware of Red Herrings and Black Swans
By Steve Teig CEO, Perceive

9:30 AM
Technical Insights
9:30am - 10:00am
Designing Bespoke CNNs for Target Hardware
By Woonhyun Nam Director, Algorithms, StradVision

9:30 AM
Technical Insights
9:30am - 10:00am
Market Trends in Automotive Perception: From Insect-Like to Human-Like Intelligence
By Pierre Cambou Principal Analyst, Yole Développement

9:30 AM
Business Insights
10:00am - 10:30am
Lessons From the Start-up Trenches: Interview with Oliver Gunasekara of NGCodec
By Oliver Gunasekara Independent Consultant, Shweta Shrivastava Chief Product Officer, Nauto (Interviewer)

10:00 AM
Business Insights
10:00am - 10:30am
Practical Guide to Implementing Deep Neural Network Inferencing at the Edge
By Toly Kotlarsky Distinguished Member Technical Staff, R&D, Zebra Technologies

10:00 AM
Fundamentals
10:00am - 10:30am
Improving Power Efficiency for Edge Inferencing with Memory Management Optimizations
By Nathan Levy Project Leader, Samsung

Technical Insights
10:00 AM
10:30am - 11:00am
Machine-Learning-Based Perception on a Tiny, Low-Power FPGA
By Hoon Choi Fellow, Lattice

10:30 AM
Enabling Technologies
11:00am - 11:30am
Vitis and Vitis AI: Application Acceleration from Cloud to Edge
By Vinod Kathail Xilinx Fellow and Chief Architect, Xilinx

Enabling Technologies
11:00 AM
11:30am - 12:00pm
Acceleration of Deep Learning Using OpenVINO: 3D Seismic Case Study
By Manas Pathak Global AI Lead for Oil and Gas, Intel

Enabling Technologies
11:30 AM
12:00pm - 12:30pm
Driver Monitoring Systems: Present and Future
By Petronel Bigioi CTO, Imaging, Xperi

Enabling Technologies
12:00 PM
12:30pm - 1:00pm
Lessons Learned from the Deployment of Deep Learning Applications In Edge Devices
By Orr Danon Founder and CEO, Hailo

Enabling Technologies
12:30 PM
1:00pm - 1:30pm
Embedded Vision in ADAS and Autonomous Vehicles: Navigating the New Reality
By Mark Fitzgerald Director, Autonomous Vehicle Service, Strategy Analytics

Business Insights
1:00 PM
1:00pm - 1:30pm
Parallelizing Machine Learning Applications in the Cloud with Kubernetes: A Case Study
By Rajy Meeyakhan Rawther PMTS Software Architect, Machine Learning Software Engineering, AMD

Technical Insights
1:00 PM
1:00pm - 1:30pm
Combining CNNs and Conventional Algorithms for Low-Compute Vision: A Case Study in the Garage
By Nathan Kopp Principal Software Architect, Video Systems, Chamberlain Group, Inc.

Technical Insights
1:00 PM
1:00pm - 2:00pm
Eye Tracking for the Future
By Peter Milford President, Parallel Rules

Fundamentals
1:00 PM
1:30pm - 2:00pm
Can You Patent Your AI-Based Invention?
By Thomas Lebens Partner, Fitch Even

Business Insights
1:30 PM
1:30pm - 2:00pm
Safer and More Efficient Intersections with Computer Vision
By Jeff Price VP & General Manager, Cubic | GRIDSMART

Technical Insights
1:30 PM
1:30pm - 2:00pm
Challenges and Approaches for Cascaded DNNs: A Case Study of Face Detection for Face Verification
By Ana Salazar Senior Research Manager, Imagination Technologies

Technical Insights
1:30 PM

Tuesday, September 22, 2020:

9:30am - 10:00am
Using Learning at the Edge to Deliver Business Value
By Vera Serdiukova Product Manager, Advanced AI, LG Electronics

9:30 AM
Business Insights
9:30am - 10:00am
Khronos Standard APIs for Accelerating Vision and Inferencing
By Neil Trevett President, Khronos, and VP Developer Ecosystems, NVIDIA

9:30 AM
Technical Insights
9:30am - 10:00am
Practical DNN Quantization Techniques and Tools
By Raghuraman Krishnamoorthi Software Engineer, Facebook

9:30 AM
Technical Insights
9:30am - 10:30am
Practical Image Data Augmentation Methods for Training Deep Learning Object Detection Models
By Evan Juras Computer Vision Engineer, EJ Technology Consultants

9:30 AM
Fundamentals
10:00am - 10:30am
Democratizing Computer Vision and Machine Learning with Open, Royalty-Free Standards: OpenVX
By Kiriti Nagesh Gowda MTS Engineer & Chair of OpenVX, AMD

Technical Insights
10:00 AM
10:00am - 10:30am
Recent Advances in Post-training Quantization
By Alexander Kozlov Deep Learning R&D Engineer, Intel

Technical Insights
10:00 AM
10:00am - 11:00am
Introduction to Simultaneous Localization and Mapping (SLAM)
By Gareth Cross Technical Lead, State Estimation, Skydio

10:00 AM
Fundamentals
10:30am - 11:00am
Benchmarking vs. Benchmarketing: Why Should You Care?
By Felix Baum Director Product Management, Qualcomm

10:30 AM
Enabling Technologies
11:00am - 11:30am
Federated Edge Computing System Architectures
By Vaidyanathan Krishnamoorthy Edge Inference Solutions Architect, Intel

Enabling Technologies
11:00 AM
11:30am - 12:00pm
Getting Efficient DNN Inference Performance: Is It Really About the TOPS?
By Gary Brown Director of AI Marketing, Intel

Enabling Technologies
11:30 AM
11:30am - 12:00pm
High-Bandwidth Multicamera Systems with PCIe Backbone: Snapshot and Outlook on Technologies and Applications
By Kevin Toerne Sales Engineer, Ximea

Enabling Technologies
11:30 AM
12:00pm - 12:30pm
Deploying Deep Learning Applications on FPGAs with MATLAB
By Jack Erickson Principal Product Marketing Manager, MathWorks

Enabling Technologies
12:00 PM
12:30pm - 1:00pm
Memory Allocation in AI and Computer Vision Applications
By Rami Drucker Machine Learning System Team Leader, CEVA

Enabling Technologies
12:30 PM
1:00pm - 1:30pm
Key Trends and Challenges in Practical Visual AI and Computer Vision
By Jeff Bier Founder, Edge AI and Vision Alliance and President, BDTI

Business Insights
1:00 PM
1:00pm - 1:30pm
Tackling Extreme Visual Conditions for Autonomous UAVs In the Wild
By Hayk Martiros Head of Autonomy, Skydio

Technical Insights
1:00 PM
1:00pm - 1:30pm
Reinforcement Learning: a Practical Introduction
By Joe Booth Principal Group Engineering Manager at Microsoft; Independent Researcher (Reinforcement Learning & Video Games)

Fundamentals
1:00 PM
1:00pm - 1:30pm
MLPerf: An Industry Standard Performance Benchmark Suite for Machine Learning
By Carole-Jean Wu Research Scientist/Associate Professor, Facebook/ASU

Technical Insights
1:00 PM
1:30pm - 2:30pm
Opportunities and Challenges in Realizing the Potential for AI at the Edge: Update from the Front Lines (Panel Discussion)
By Pete Warden Staff Research Engineer, Google, Stevie Bathiche Technical Fellow, Microsoft, Samir Kumar Managing Director, M12, Steve Teig CEO, Perceive, Luis Ceze Professor, University of Washington | Co-founder and CEO, OctoML, Inc.

Technical Insights
Business Insights
Panel Discussions
1:30 PM
1:30pm - 2:00pm
Deploying AI Software to Embedded Devices Using Open Standards
By Andrew Richards Founder and CEO, Codeplay

Fundamentals
1:30 PM
1:30pm - 2:00pm
Imaging Systems for Applied Reinforcement Learning Control
By Damas W. Limoge Senior R&D Engineer, Nanotronics

Technical Insights
1:30 PM
1:30pm - 2:00pm
Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking
By Kit Thambiratnam General Manager of the Seedland AI Center, Seedland

Technical Insights
1:30 PM

Thursday, September 24, 2020:

9:30am - 10:00am
Feeding the World Through Embedded Vision
By Travis J. Davis Delivery Manager - Automation Delivery, John Deere

9:30 AM
Technical Insights
9:30am - 10:00am
A Computer Vision-Based Personal Trainer That Runs On Your Phone
By Roland Memisevic CEO, Chief Scientist & Founder, Twenty BN

9:30 AM
Technical Insights
9:30am - 10:00am
Sea-thru: A Method for Removing Water from Underwater Images
By Derya Akkaynak Engineer & Oceanograher, Harbor Branch Oceanographic Institute

9:30 AM
Technical Insights
9:30am - 10:00am
Trends in Neural Network Topologies for Vision at the Edge
By Pierre Paulin Director of R&D, Embedded Vision, Synopsys

Fundamentals
10:00am - 10:30am
Introduction to the TVM Open Source Deep Learning Compiler Stack
By Luis Ceze Professor, University of Washington | Co-founder and CEO, OctoML, Inc.

Technical Insights
10:00 AM
10:00am - 10:30am
Using an ISP for Real-time Data Augmentation
By Timofey Uvarov Camera System Lead, Pony.AI

Technical Insights
10:00 AM
10:00am - 11:00am
CMOS Image Sensors: A Guide to Building the Eyes of a Vision System
By Jon Stern Director of Optical Systems, GoPro

10:00 AM
Fundamentals
10:30am - 11:00am
OpenCV: Rapid Growth and Evolution Beyond the Library
By Satya Mallick CEO, OpenCV.ai

10:30 AM
Enabling Technologies
11:00am - 11:30am
Qualcomm AI leading the way with Distributed Intelligence
By Ziad Asghar VP Product Management, Qualcomm

Enabling Technologies
11:00 AM
11:30am - 12:00pm
Edge Inferencing—Scalability with Intel Vision Accelerator Design Cards
By Rama Karamsetty Global Marketing Manager, Intel

Enabling Technologies
11:30 AM
12:00pm - 12:30pm
Making Edge AI Inference Programming Easier and Flexible
By Manisha Agrawal Product Marketing Engineer, Texas Instruments

Enabling Technologies
12:00 PM
12:00pm - 12:30pm
Enabling Embedded AI for Healthcare
By Shang-Hung Lin VP of Machine Learning and Neural Processor Product Development, Verisilicon

Enabling Technologies
12:00 PM
12:30pm - 1:00pm
Designing Cameras to Detect the "Invisible": Handling Edge Cases Without Supervision
By Felix Heide Co-Founder & Chief Technology Officer, Algolux

Enabling Technologies
12:30 PM
1:00pm - 1:30pm
Vision Opportunities in Healthcare
By Vini Jolly Executive Director, Woodside Capital

Business Insights
1:00 PM
1:00pm - 1:30pm
Joint Regularization of Activations and Weights for Efficient Neural Network Pruning
By Zuoguan Wang Senior Algorithm Manager, Black Sesame Technologies

Technical Insights
1:00 PM
1:00pm - 1:30pm
Modern SoCs for Consumer Robotics and AIoT
By Zhe Zhang Founder and CEO, Trifo

Technical Insights
1:00 PM
1:00pm - 2:00pm
Deep Learning on Mobile Devices
By Siddha Ganju AI Architect, Independent

Fundamentals
1:00 PM
1:30pm - 2:00pm
How 5G is Pushing Processing to the Edge
By Dan Picker Chief Technology Officer, Inseego Corp

Business Insights
1:30 PM
1:30pm - 2:30pm
Future of Image Sensors - An Expert Panel Sponsored by Applied Materials
By Shung Chieh Co-founder and VP of Engineering, Solidspac3, Sandor Barna VP of Hardware, Aurora, Boyd Fowler Chief Technology Officer, OmniVision, Sundar Ramamurthy Group Vice President & General Manager, EP&I, Applied Materials, Ryad Benosman Professor, University of Pittsburgh Medical Center, Carnegie Mellon University and Sorbonne Universitas

Technical Insights
Panel Discussions
1:30 PM
1:30pm - 2:00pm
Structures as Sensors: Smaller-Data Learning in the Physical World
By Pei Zhang Associate Research Professor, Carnegie Mellon University

Technical Insights
1:30 PM

Technology Workshops (Mon, Wed & Fri, Sep 15-25):

Intel Workshop: Edge AI for Industrial (Wednesday, September 23, 9:00 am – 1:30 pm PT)

Technology Workshops
Intel Workshop: Edge AI for Retail (Monday, September 21, 9:00 am – 1:30 pm PT)

Technology Workshops
Intel Workshop: Using the Intel Distribution of the OpenVINO Toolkit for Deploying Accelerated Deep Learning Applications (Friday, September 18, 9:00 am – 1:30 pm PT)

Technology Workshops
Synopsys Seminar: Beyond 2020—Vision SoCs for the Edge (Wednesday, Sep 16 and Friday, Sep 19, 9:00 am - 12:00 pm PT)

Technology Workshops

It's all happening virtually on May 25-27, 2021!

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21 Jan
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19 Jan
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