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Archive of 2020 Sessions

Tuesday, September 15, 2020:

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

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

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

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

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

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

12:30 PM
Enabling Technologies
1:00 pm - 1:30 pm
Video Activity Recognition with Limited Data for Smart Home Applications
By Hongcheng Wang Director, Technical Research, Comcast

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

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

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

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

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

1:30 PM
Business Insights
1:30 pm - 2:00 pm
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

1:30 PM
Technical Insights

Wednesday, September 16, 2020:

9:00 am - 9:45 am
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
10:00 am - 10:45 am
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
10:00 am - 10:45 am
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
11:00 am - 11:45 am
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
12:00 pm - 12:45 pm
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
1:00 pm - 1:45 pm
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
2:00 pm - 2:45 pm
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.

2:00 PM
Over-the-Shoulder Tutorial

Thursday, September 17, 2020:

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

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

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

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

9:30 AM
Technical Insights
10:00 am - 10:30 am
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
10:00 am - 10:30 am
Improving Power Efficiency for Edge Inferencing with Memory Management Optimizations
By Nathan Levy Project Leader, Samsung

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

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

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

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

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

12:30 PM
Enabling Technologies
1:00 pm - 1:30 pm
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.

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

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

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

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

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

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

1:30 PM
Technical Insights

Tuesday, September 22, 2020:

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

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

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

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

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

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

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

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

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

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

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

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

12:30 PM
Enabling Technologies
1:00 pm - 1:30 pm
MLPerf: An Industry Standard Performance Benchmark Suite for Machine Learning
By Carole-Jean Wu Research Scientist/Associate Professor, Facebook/ASU

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

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

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

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

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

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

1:30 PM
Technical Insights
1:30 pm - 2:30 pm
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.

1:30 PM
Technical Insights
Business Insights
Panel Discussions

Thursday, September 24, 2020:

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

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

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

9:30 AM
Technical Insights
9:30 am - 10:00 am
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
10:00 am - 10:30 am
Introduction to the TVM Open Source Deep Learning Compiler Stack
By Luis Ceze Professor, University of Washington | Co-founder and CEO, OctoML, Inc.

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

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

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

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

11:30 AM
Enabling Technologies
12:00 pm - 12:30 pm
Enabling Embedded AI for Healthcare
By Shang-Hung Lin VP of Machine Learning and Neural Processor Product Development, Verisilicon

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

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

12:30 PM
Enabling Technologies
1:00 pm - 1:30 pm
Joint Regularization of Activations and Weights for Efficient Neural Network Pruning
By Zuoguan Wang Senior Algorithm Manager, Black Sesame Technologies

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

1:00 PM
Technical Insights
1:00 pm - 1:30 pm
Vision Opportunities in Healthcare
By Vini Jolly Executive Director, Woodside Capital

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

1:00 PM
Fundamentals
1:30 pm - 2:30 pm
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

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

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

1:30 PM
Technical Insights

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

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