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2019 Trainings, Presentations, and Workshops

 
 = Technical Insights I Track
 
 = Technical Insights II Track
 
 = Business Insights Track
 
 = Enabling Technologies Track 
 
 = Fundamentals Track 

Download a detailed PDF version of the complete schedule!

 

Monday, May 20

9:00 AM - 5:00 PM
Training: Computer Vision Applications in OpenCV (Separate Registration Required)
9:00 AM - 5:00 PM
Training: Deep Learning for Computer Vision with TensorFlow 2.0 (Separate Registration Required)

Tuesday, May 21

9:00 AM - 10:30 AM
Making the Invisible Visible: Within Our Bodies, the World Around Us, and Beyond
Keynote Speaker
Mission City B1-B5
10:45 AM - 11:15 AM
What’s Changing in Autonomous Vehicle Investments Worldwide – and Why?
Business Insights
Theater
10:45 AM - 11:50 AM
An Introduction to Machine Learning and How to Teach Machines to See
Fundamentals
Room 203/204
10:45 AM - 11:50 AM
Beyond CNNs for Video: the Chicken vs. the Datacenter
Technical Insights II
Mission City M1-M3
10:45 AM - 11:15 AM
Performance Analysis for Optimizing Embedded Deep Learning Inference Software
Technical Insights I
Mission City B1-B5
11:20 AM - 11:50 AM
Fast and Accurate RMNet: A New Neural Network for Embedded Vision
Technical Insights I
Mission City B1-B5
11:20 AM - 11:50 AM
Making Cars That See - Failure is Not an Option
Business Insights
Theater
1:00 PM - 1:30 PM
Building AI Cameras with Intel Movidius VPUs
Enabling Technologies
Exhibit Hall ET 1
1:00 PM - 1:30 PM
Commercial Grade SLAM Frameworks for Indoor and Outdoor Applications
Enabling Technologies
Exhibit Hall ET 2
1:00 PM - 1:30 PM
Methods for Creating Efficient Convolutional Neural Networks
Technical Insights I
Mission City B1-B5
1:00 PM - 1:30 PM
Shifts in the Automated Driving Industry
Business Insights
Theater
1:00 PM - 1:30 PM
Teaching Machines to See, Understand, Describe and Predict Sports Games in Real Time
Technical Insights II
Mission City M1-M3
1:00 PM - 1:30 PM
Training Data for Your CNN: What You Need and How to Get It
Fundamentals
Room 203/204
1:35 PM - 2:05 PM
Accelerating Smart Camera Time to Market Using a System-on-Module Approach
Enabling Technologies
Exhibit Hall ET 2
1:35 PM - 2:05 PM
Automotive Vision Systems – Seeing the Way Forward
Business Insights
Theater
1:35 PM - 2:05 PM
Introducing Hailo-8: The Most Efficient Deep Learning Processor for Edge Devices
Enabling Technologies
Exhibit Hall ET 1
1:35 PM - 2:05 PM
Object Detection for Embedded Markets
Fundamentals
Room 203/204
1:35 PM - 2:05 PM
Optimizing SSD Object Detection for Low-power Devices
Technical Insights I
Mission City B1-B5
1:35 PM - 2:05 PM
Using Deep Learning for Video Event Detection on a Compute Budget
Technical Insights II
Mission City M1-M3
2:10 PM - 2:40 PM
A Self-service Platform to Deploy State-of-the-art Deep Learning Models in Under 30 Minutes
Enabling Technologies
Exhibit Hall ET 1
2:10 PM - 2:40 PM
Addressing Corner Cases in Embedded Computer Vision Applications
Business Insights
Theater
2:10 PM - 2:40 PM
AI+: Combining AI and Other Critical Functions Using Intel FPGAs
Enabling Technologies
Exhibit Hall ET 2
2:10 PM - 2:40 PM
AI-Powered Identity: Evaluating Face Recognition Capabilities
Technical Insights II
Mission City M1-M3
2:10 PM - 2:40 PM
Hardware-aware Deep Neural Network Design
Technical Insights I
Mission City B1-B5
2:10 PM - 3:15 PM
How to Choose a 3D Vision Sensor
Fundamentals
Room 203/204
2:45 PM - 3:15 PM
Designing Home Monitoring Cameras for Scale
Technical Insights II
Mission City M1-M3
2:45 PM - 3:15 PM
Enabling the Next Kitchen Experience Through Embedded Vision
Business Insights
Theater
2:45 PM - 3:15 PM
Highly Efficient, Scalable Vision and AI Processors IP for the Edge
Enabling Technologies
Exhibit Hall ET 1
2:45 PM - 3:15 PM
Neuromorphic Event-based Vision: From Disruption to Adoption at Scale
Enabling Technologies
Exhibit Hall ET 2
2:45 PM - 3:15 PM
Object Trackers: Approaches and Applications
Technical Insights I
Mission City B1-B5
4:20 PM - 4:50 PM
Accessing Advanced Image Processing Feature Sets with Alvium Cameras Using a V4L2/GenICam Hybrid Driver
Enabling Technologies
Exhibit Hall ET 2
4:20 PM - 4:50 PM
Accurately Measuring Viewer Attention for Maximum Marketing Impact Using Computer Vision
Business Insights
Theater
4:20 PM - 4:50 PM
An Ultra-low-power Multi-core Engine for Inference on Encrypted DNNs
Enabling Technologies
Exhibit Hall ET 1
4:20 PM - 4:50 PM
Enabling Automated Design of Computationally Efficient Deep Neural Networks
Technical Insights I
Mission City B1-B5
4:20 PM - 5:25 PM
Fundamentals of Monocular SLAM
Fundamentals
Room 203/204
4:20 PM - 4:50 PM
Selecting and Exploiting Sensors for Sensor Fusion in Consumer Robots
Technical Insights II
Mission City M1-M3
4:55 PM - 5:25 PM
Low-power Computer Vision: Status, Challenges and Opportunities
Technical Insights I
Mission City B1-B5
4:55 PM - 5:25 PM
Pioneering Analog Compute for Edge AI to Overcome the End of Digital Scaling
Enabling Technologies
Exhibit Hall ET 2
4:55 PM - 5:25 PM
Sensory Fusion for Scalable Indoor Navigation
Technical Insights II
Mission City M1-M3
4:55 PM - 5:25 PM
The Xilinx AI Engine: High Performance with Future-proof Architecture Adaptability
Enabling Technologies
Exhibit Hall ET 1
4:55 PM - 5:25 PM
Three Key Factors for Successful AI Projects
Business Insights
Theater
5:30 PM - 6:00 PM
Eye Tracking For The Future: The Eyes Have It
Fundamentals
Room 203/204

Wednesday, May 22

9:00 AM - 10:30 AM
The Future of Computer Vision and Machine Learning is Tiny
Keynote Speaker
Mission City B1-B5
10:45 AM - 11:15 AM
APIs for Accelerating Vision and Inferencing: an Industry Overview of Options and Trade-offs
Technical Insights II
Mission City M1-M3
10:45 AM - 11:15 AM
Designing Your Next Vision Product Using a Systems Approach
Business Insights
Theater
10:45 AM - 11:15 AM
DNN Challenges and Approaches for L4/L5 Autonomous Vehicles
Technical Insights I
Mission City B1-B5
10:45 AM - 11:15 AM
How to Get the Best Deep Learning Performance with the OpenVINO Toolkit
Enabling Technologies
Exhibit Hall ET 2
10:45 AM - 11:15 AM
MediaTek’s Approach for Edge Intelligence
Enabling Technologies
Exhibit Hall ET 1
10:45 AM - 11:15 AM
Separable Convolutions for Efficient Implementation of CNNs and Other Vision Algorithms
Fundamentals
Room 203/204
11:20 AM - 11:50 AM
5+ Techniques for Efficient Implementation of Neural Networks
Fundamentals
Room 203/204
11:20 AM - 11:50 AM
Can We Have Both Safety and Performance in AI for Autonomous Vehicles?
Technical Insights I
Mission City B1-B5
11:20 AM - 11:50 AM
Introducing MLPerf for Community-driven Benchmarking of Embedded Vision Systems
Technical Insights II
Mission City M1-M3
11:20 AM - 11:50 AM
Machine Learning at the Edge in Smart Factories Using TI Sitara Processors
Enabling Technologies
Exhibit Hall ET 2
11:20 AM - 11:50 AM
The Reality of Spatial Computing: What's Working in 2019 (and Where It Goes From Here)
Business Insights
Theater
11:20 AM - 11:50 PM
Deploying Visual SLAM in Low-power Devices
Enabling Technologies
Exhibit Hall ET 1
1:00 PM - 1:30 PM
Accelerate Adoption of AI at the Edge with Easy to Use, Low-power Programmable Solutions
Enabling Technologies
Exhibit Hall ET 2
1:00 PM - 1:30 PM
Challenges and Approaches for Extracting Meaning from Satellite Imagery
Technical Insights I
Mission City B1-B5
1:00 PM - 2:05 PM
Introduction to Optics for Embedded Vision
Fundamentals
Room 203/204
1:00 PM - 1:30 PM
Memory-centric Hardware Acceleration for Machine Intelligence
Enabling Technologies
Exhibit Hall ET 1
1:00 PM - 1:30 PM
OpenCV: Current Status and Future Plans
Technical Insights II
Mission City M1-M3
1:00 PM - 1:30 PM
Visual AI Enables Autonomous Security: Interview with William Santana Li
Business Insights
Theater
1:35 PM - 2:05 PM
Deploying Deep Learning Models on Embedded Processors for Autonomous Systems with MATLAB
Enabling Technologies
Exhibit Hall ET 2
1:35 PM - 2:05 PM
Dynamically Reconfigurable Processor Technology for Vision Processing
Enabling Technologies
Exhibit Hall ET 1
1:35 PM - 2:05 PM
Mining Site Data Extraction Using 3D Machine Learning
Technical Insights I
Mission City B1-B5
1:35 PM - 2:05 PM
Portable Performance via the OpenVX Computer Vision Library: Case Studies
Technical Insights II
Mission City M1-M3
1:35 PM - 2:05 PM
Visual AI Applications and Technologies: Trends and Opportunities
Business Insights
Theater
2:10 PM - 2:40 PM
High-performance DNNs at the Edge: Co-optimization of Model Architectures, Compiler and Accelerator
Enabling Technologies
Exhibit Hall ET 1
2:10 PM - 2:40 PM
AI Is Moving to the Edge – What’s the Impact on the Semiconductor Industry?
Business Insights
Theater
2:10 PM - 2:40 PM
Data Annotation At Scale: Pitfalls and Solutions
Technical Insights II
Mission City M1-M3
2:10 PM - 2:40 PM
Improving the Safety and Performance of Automated Vehicles Through Precision Localization
Technical Insights I
Mission City B1-B5
2:10 PM - 2:40 PM
Selecting the Right Imager for Your Embedded Vision Application
Fundamentals
Room 203/204
2:10 PM - 2:40 PM
Tools and Techniques for Optimizing DNNs on Arm-based Processors with Au-Zone’s DeepView ML Toolkit
Enabling Technologies
Exhibit Hall ET 2
2:45 PM - 3:15 PM
Can Simulation Solve the Training Data Problem?
Technical Insights II
Mission City M1-M3
2:45 PM - 3:15 PM
Deep Learning for Manufacturing Inspection Applications
Fundamentals
Room 203/204
2:45 PM - 3:15 PM
Distance Estimation Solutions for ADAS and Automated Driving
Technical Insights I
Mission City B1-B5
2:45 PM - 3:15 PM
Embedded Vision Applications Lead Way for Processors in AI: A Market Analysis of Vision Processors
Business Insights
Theater
2:45 PM - 3:15 PM
Using High-level Synthesis to Bridge the Gap Between Deep Learning Frameworks and Custom Hardware Accelerators
Enabling Technologies
Exhibit Hall ET 2
2:45 PM - 3:15 PM
Using TensorFlow Lite to Deploy Deep Learning on Cortex-M Microcontrollers
Enabling Technologies
Exhibit Hall ET 1
4:20 PM - 4:50 PM
AI Reliability Against Adversarial Inputs
Technical Insights I
Mission City B1-B5
4:20 PM - 4:50 PM
Applied Depth Sensing with Intel RealSense
Enabling Technologies
Exhibit Hall ET 1
4:20 PM - 4:50 PM
Building Complete Embedded Vision Systems on Linux – From Camera to Display
Fundamentals
Room 203/204
4:20 PM - 4:50 PM
Practical Approaches to Training Data Strategy: Bias, Legal and Ethical Considerations
Technical Insights II
Mission City M1-M3
4:20 PM - 4:50 PM
Processor Options for Edge Inference: Options and Trade-offs
Business Insights
Theater
4:20 PM - 4:50 PM
Using Blockchain to Create Trusted Embedded Vision Systems
Enabling Technologies
Exhibit Hall ET 2
4:55 PM - 5:25 PM
Creating Efficient, Flexible, and Scalable Cloud Computer Vision Applications: An Introduction
Fundamentals
Room 203/204
4:55 PM - 5:25 PM
Game Changing Depth Sensing Technique Enables Simpler, More Flexible 3D Solutions
Enabling Technologies
Exhibit Hall ET 1
4:55 PM - 5:25 PM
Machine Learning-based Image Compression: Ready for Prime Time?
Technical Insights II
Mission City M1-M3
4:55 PM - 5:25 PM
Snapdragon Hybrid Computer Vision/Deep Learning Architecture for Imaging Applications
Enabling Technologies
Exhibit Hall ET 2
5:00 PM - 6:00 PM
Vision Tank Start-Up Competition
Business Insights
Theater
5:30 PM - 6:00 PM
Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoCs
Enabling Technologies
Exhibit Hall ET 2
5:30 PM - 6:00 PM
Fundamental Security Challenges of Embedded Vision
Fundamentals
Room 203/204
5:30 PM - 6:00 PM
REAL3 Time of Flight: A New Differentiator for Mobile Phones
Enabling Technologies
Exhibit Hall ET 1

Thursday, May 23

9:00 AM - 5:30 PM
Intel Workshop: Advanced Workshop on Intel Vision Technology and OpenVINO Toolkit (Separate Registration Required)
9:00 AM - 5:30 PM
Intel Workshop: Intel Vision Technology and OpenVINO™ Toolkit Workshop (Separate Registration Required)
9:00 AM - 5:30 PM
Khronos Workshop: Hardware Acceleration for Machine Learning and Computer Vision through Khronos Open Standard APIs Workshop (Separate Registration Required)
9:00 AM - 5:30 PM
Synopsys Seminar: Embedded Vision Seminar: Navigating Intelligent Vision at the Edge (Separate Registration Required)
See you at the Summit! May 20-23 in Santa Clara, California!
Register today and reserve your hotel room!