Sessions

Have an idea for a talk? Tell us about it.

Tuesday, May 20:

Accelerating Model Deployment with Qualcomm AI Hub

Trainings
VLM Training: Vision-Language Models for Computer Vision Applications: A Hands-On Introduction

Trainings

Wednesday, May 21:

9:00 am - 9:50 am
A View from the Summit (Part 1)
By Jeff Bier Founder and President, Edge AI and Vision Alliance and BDTI

9:00 AM
Technical Insights
9:50 am - 10:50 am
The Future of Visual AI: Efficient Multimodal Intelligence
By Trevor Darrell Professor, University of California, Berkeley

9:50 AM
Keynotes
11:25 am - 12:30 pm
Introduction to Deep Learning and Visual AI: Fundamentals and Architectures
By Mohammad Haghighat Senior Manager, CoreAI, eBay

11:25 AM
Fundamentals
11:25 am - 11:55 am
The New OpenCV 5.0: Added Features, Performance Improvements and Future Directions
By Satya Mallick CEO, OpenCV.org

11:25 AM
Technical Insights
11:25 am - 11:55 am
Depth Estimation from Monocular Images Using Geometric Foundation Models
By Rareș Ambruș Senior Manager, Large Behavior Models, Toyota Research Institute

11:25 AM
Technical Insights
11:25 am - 11:55 am
SKAIVISION: Transforming Automotive Dealerships with Computer Vision
By Jason Fayling Co-Founder and Chief Technology Officer, SKAIVISION

11:25 AM
Business Insights
12:00 pm - 12:30 pm
Simplifying Portable Computer Vision with OpenVX 2.0
By Kiriti Nagesh Gowda Staff Engineer, AMD

12:00 PM
Technical Insights
12:00 pm - 12:30 pm
A New Era of 3D Sensing: Transforming Industries and Creating Opportunities
By Florian Domengie Principal Technology and Market Analyst, Imaging, Yole Group

12:00 PM
Business Insights
12:00 pm - 12:30 pm
Optimizing Real-Time SLAM Performance for Autonomous Robots with GPU Acceleration
By Naitik Nakrani Solution Architect Manager, eInfochips

12:00 PM
Technical Insights
1:30 pm - 2:00 pm
Rapid Development of AI-Powered Embedded Vision Solutions—Without a Team of Experts
By Marcel Wouters Senior Software Engineer, Network Optix

1:30 PM
Enabling Technologies
1:30 pm - 2:00 pm
Solving Tomorrow’s AI Problems Today with Cadence’s Newest Processor
By Amol Borkar Product Marketing Director, Cadence

1:30 PM
Enabling Technologies
1:30 pm - 2:35 pm
Introduction to DNN Training: Fundamentals, Process and Best Practices
By Kevin Weekly CEO, Think Circuits

1:30 PM
Fundamentals
1:30 pm - 2:00 pm
Addressing Evolving AI Model Challenges Through Memory and Storage
By Wil Florentino Senior Segment Marketing Manager, Micron

1:30 PM
Enabling Technologies
1:30 pm - 2:00 pm
Deploying Accelerated ML and AI: The Role of Khronos Open Standards
By Neil Trevett President, Khronos Group

1:30 PM
Technical Insights
1:30 pm - 2:00 pm
Scaling Machine Learning with Containers: Lessons Learned
By Rustem Feyzkhanov Machine Learning Engineer, Instrumental

1:30 PM
Technical Insights
1:30 pm - 2:00 pm
LLMs and VLMs for Regulatory Compliance, Quality Control and Safety Applications
By Lazar Trifunovic Solutions Architect, Camio

1:30 PM
Business Insights
2:05 pm - 2:35 pm
Why It’s Critical to Have an Integrated Development Methodology for Edge AI
By Sreepada Hegade Director, ML Systems and Software, Lattice Semiconductor

2:05 PM
Enabling Technologies
2:05 pm - 2:35 pm
Lessons Learned Building and Deploying a Weed-Killing Robot
By Xiong Chang CEO and Co-Founder, Tensorfield Agriculture

2:05 PM
Business Insights
2:05 pm - 2:35 pm
Scaling Computer Vision at the Edge
By Eric Danziger CEO, Invisible AI

2:05 PM
Technical Insights
2:05 pm - 2:35 pm
Running Accelerated CNNs on Low-Power Microcontrollers Using Arm Ethos-U55, TensorFlow and Numpy
By Kwabena Agyeman President, OpenMV

2:05 PM
Enabling Technologies
2:05 pm - 2:35 pm
State-Space Models vs. Transformers for Ultra-Low-Power Edge AI
By Tony Lewis Chief Technology Officer, BrainChip

2:05 PM
Enabling Technologies
2:05 pm - 2:35 pm
Developing a GStreamer-Based Custom Camera System for Long-Range Biometric Data Collection
By Gavin Jager Researcher and Lab Space Manager, Oak Ridge National Laboratory

2:05 PM
Technical Insights
2:40 pm - 3:10 pm
From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge
By Amir Servi Edge Deep Learning Product Manager, Sony Semiconductor Solutions

2:40 PM
Enabling Technologies
2:40 pm - 3:10 pm
Vision-Language Models on the Edge
By Cyril Zakka Health Lead, Hugging Face

2:40 PM
Technical Insights
2:40 pm - 3:10 pm
Scaling Artificial Intelligence and Computer Vision for Conservation
By Matt Merrifield Chief Technology Officer, The Nature Conservancy

2:40 PM
Business Insights
2:40 pm - 3:10 pm
Visual Search: Fine-Grained Recognition with Embedding Models for the Edge
By Omid Azizi Co-Founder, Gimlet Labs

2:40 PM
Fundamentals
2:40 pm - 3:10 pm
An Introduction to the MIPI CSI-2 Image Sensor Standard and Its Latest Advances
By Haran Thanigasalam Camera and Imaging Systems Consultant, MIPI Alliance

2:40 PM
Technical Insights
2:40 pm - 3:10 pm
Image Tokenization for Distributed Neural Cascades
By Shang-Hung Lin Vice President of NPU Technology, VeriSilicon, Derek Chow Software Engineer, Google

2:40 PM
Enabling Technologies
2:40 pm - 3:10 pm
Bridging the Gap: Streamlining the Process of Deploying AI onto Processors
By Taesu Kim Chief Technology Officer, SqueezeBits

2:40 PM
Enabling Technologies
4:15 pm - 4:45 pm
How to Right-Size and Future-Proof a Container-First Edge AI Infrastructure
By Zoie Rittling Business Development Manager, OnLogic, Carl Moberg CTO, Avassa

4:15 PM
Enabling Technologies
4:15 pm - 4:45 pm
Computer Vision at Sea: Automated Fish Tracking for Sustainable Fishing
By Alicia Schandy Wood Machine Learning Engineer, Tryolabs, Vienna Saccomanno Senior Scientist, The Nature Conservancy

4:15 PM
Enabling Technologies
4:15 pm - 4:45 pm
Interview: Three Big Topics in Autonomous Driving and ADAS
By Junko Yoshida Independent Journalist, Frank Moesle Software Department Manager, Valeo

4:15 PM
Business Insights
4:15 pm - 4:45 pm
Evolving Inference Processor Software Stacks to Support LLMs
By Ramteja Tadishetti Principal Software Engineer, Expedera

4:15 PM
Enabling Technologies
4:15 pm - 4:45 pm
Taking Computer Vision Products from Prototype to Robust Product: An Interview with Chris Padwick
By Chris Padwick Machine Learning Engineer, Blue River Technology, Mark Jamtgaard Director of Technology, RetailNext

4:15 PM
Technical Insights
4:15 pm - 5:20 pm
Transformer Networks: How They Work and Why They Matter
By Rakshit Agrawal Principal AI Scientist, Synthpop AI

4:15 PM
Fundamentals
4:15 pm - 4:45 pm
Unlocking Visual Intelligence: Advanced Prompt Engineering for Vision-Language Models
By Alina Li Zhang Senior Data Scientist, Tech Writer, LinkedIn Learning

4:15 PM
Technical Insights
4:50 pm - 5:20 pm
Efficiently Registering Depth and RGB Images
By Naitik Nakrani Solution Architect Manager, eInfochips

4:50 PM
Enabling Technologies
4:50 pm - 5:20 pm
How Qualcomm Is Powering AI-Driven Multimedia at the Edge
By Ning Bi Vice President of Engineering, Qualcomm Technologies, Inc.

4:50 PM
Enabling Technologies
4:50 pm - 5:20 pm
Improving Worksite Safety with AI-Powered Perception
By Sabri Bayoudh Chief Innovation Officer, Arcure

4:50 PM
Technical Insights
4:50 pm - 5:20 pm
Multimodal Enterprise-Scale Applications in the Generative AI Era
By Mumtaz Vauhkonen Senior Director of AI, Skyworks Solutions

4:50 PM
Technical Insights
4:50 pm - 5:55 pm
Interview: Virtual Reality, Machine Learning and Biosensing Advances Converging to Transform Healthcare and Beyond
By Walter Greenleaf Neuroscientist, Stanford University Virtual Human Interaction Lab, Tom Vogelsong Start-Up Scout, K2X Technology and Life Science

4:50 PM
Business Insights
4:50 pm - 5:20 pm
MPU+: A Transformative Solution for Next-Gen AI at the Edge
By Petronel Bigioi CEO, FotoNation

4:50 PM
Enabling Technologies
5:25 pm - 5:55 pm
Object Detection Models: Balancing Speed, Accuracy and Efficiency
By Sage Elliott AI Engineer, Union.ai

5:25 PM
Fundamentals
5:25 pm - 5:55 pm
Customizing Vision-Language Models for Real-World Applications
By Monika Jhuria Technical Marketing Engineer, NVIDIA

5:25 PM
Technical Insights
5:25 pm - 5:55 pm
Voice Interfaces on a Budget: Building Real-Time Speech Recognition on Low-Cost Hardware
By Pete Warden CEO, Useful Sensors

5:25 PM
Enabling Technologies

Thursday, May 22:

9:00 am - 9:35 am
A View from the Summit (Part 2)
By Jeff Bier Founder and President, Edge AI and Vision Alliance and BDTI

9:00 AM
Technical Insights
9:35 am - 10:25 am
Real-World AI and Computer Vision Innovation at Scale
By Gérard Medioni Vice President and Distinguished Scientist, Amazon Prime Video and MGM Studios

9:35 AM
Keynotes
10:25 am - 11:10 am
Edge AI and Vision at Scale: What’s Real, What’s Next, What’s Missing?
By Sally Ward-Foxton Senior Reporter, EE Times, Chen Wu Director, Head of Perception, Waymo, Vikas Bhardwaj Director, AI, Reality Labs, Meta, Vaibhav Ghadiok Chief Technology Officer, Hayden AI, Gérard Medioni Vice President and Distinguished Scientist, Amazon Prime Video and MGM Studios

10:25 AM
Technical Insights
11:25 am - 11:55 am
Introduction to Designing with AI Agents
By Frantz Lohier Senior WW Specialist—Advanced Computing, AI and Robotics, Amazon Web Services

11:25 AM
Technical Insights
11:25 am - 11:55 am
Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP
By Gordon Cooper Synopsys Principal Product Manager, Synopsys

11:25 AM
Enabling Technologies
11:25 am - 11:55 am
OAAX: One Standard for AI Vision on Any Compute Platform
By Robin van Emden Senior Director of Data Science, Network Optix

11:25 AM
Enabling Technologies
11:25 am - 12:30 pm
Understanding Human Activity from Visual Data
By Mehrsan Javan Chief Technology Officer, Sportlogiq

11:25 AM
Fundamentals
11:25 am - 11:55 am
Enabling Ego Vision Applications on Smart Eyewear Devices
By Francesca Palermo Research Principal Investigator, EssilorLuxottica

11:25 AM
Technical Insights
11:25 am - 11:55 am
AI-Powered Scouting: Democratizing Talent Discovery in Sports
By Jonathan Lee Chief Product Officer, ai.io

11:25 AM
Business Insights
12:00 pm - 12:30 pm
Vision-Based Aircraft Functions for Autonomous Flight Systems
By Arne Stoschek Vice President of AI and Autonomy, Acubed (an Airbus innovation center)

12:00 PM
Business Insights
12:00 pm - 12:30 pm
Toward Hardware-Agnostic ADAS Implementations for Software-Defined Vehicles
By Frank Moesle Software Department Manager, Valeo

12:00 PM
Technical Insights
12:00 pm - 12:30 pm
Squinting Vision Pipelines: Detecting and Correcting Errors in Vision Models at Runtime
By Ken Wenger Chief Technology Officer, Squint AI

12:00 PM
Enabling Technologies
12:00 pm - 12:30 pm
ONNX and Python to C++: State-of-the-Art Graph Compilation
By Nigel Drego Co-Founder and Chief Technology Officer, Quadric

12:00 PM
Enabling Technologies
12:00 pm - 12:30 pm
Building Agentic Applications for the Edge
By Amit Mate Founder and CEO, GMAC Intelligence

12:00 PM
Technical Insights
1:30 pm - 2:00 pm
Mastering the End-to-End Machine Learning Model Building Process: Best Practices and Pitfalls
By Paril Ghori Senior Data Scientist, Caterpillar

1:30 PM
Technical Insights
1:30 pm - 2:00 pm
Vision LLMs in Multi-Agent Collaborative Systems: Architecture and Integration
By Niyati Prajapati ML and Generative AI Lead, Google

1:30 PM
Technical Insights
1:30 pm - 2:00 pm
Real-World Deployment of Mobile Material Handling Robotics in the Supply Chain
By Peter Santos Chief Operating Officer, Pickle Robot Company

1:30 PM
Business Insights
1:30 pm - 2:00 pm
A Re-Imagination of Embedded Vision System Design
By Dennis Laudick Vice President of Product Management and Marketing, Imagination Technologies

1:30 PM
Enabling Technologies
1:30 pm - 2:35 pm
Specifying and Designing Cameras for Computer Vision Applications
By Richard Crisp Vice President and CTO, Etron Technology America

1:30 PM
Fundamentals
1:30 pm - 2:00 pm
Beyond the Demo: Turning Computer Vision Prototypes into Scalable, Cost-Effective Solutions
By Kit Merker CEO, Plainsight Technologies

1:30 PM
Enabling Technologies
2:05 pm - 2:35 pm
Deep Sentinel: Lessons Learned Building, Operating and Scaling an Edge AI Computer Vision Company
By David Selinger CEO, Deep Sentinel

2:05 PM
Business Insights
2:05 pm - 2:35 pm
Introduction to Enhancing Data Quality for AI Success
By Aarohi Tripathi Senior Data Engineer, CVS Health

2:05 PM
Technical Insights
2:05 pm - 2:35 pm
Scaling i.MX Applications Processors’ Native Edge AI with Discrete AI Accelerators
By Ali Osman Ors Director, AI ML Strategy and Technologies, Edge Processing, NXP Semiconductors

2:05 PM
Enabling Technologies
2:05 pm - 2:35 pm
Introduction to Data Types for AI: Trade-Offs and Trends
By Joep Boonstra Synopsys Scientist, Synopsys

2:05 PM
Technical Insights
2:40 pm - 3:10 pm
Interview: Technology and Market Trends in CMOS Image Sensors
By Florian Domengie Principal Technology and Market Analyst, Imaging, Yole Group, Shung Chieh Senior Vice President, Eikon Systems, Eikon Therapeutics

2:40 PM
Business Insights
2:40 pm - 3:10 pm
NPU IP Hardware Shaped Through Software and Use-Case Analysis
By Yair Siegel Senior Director, Wireless and Emerging Markets, Ceva

2:40 PM
Enabling Technologies
2:40 pm - 3:10 pm
Introduction to Shrinking Models with Quantization-Aware Training and Post-Training Quantization
By Robert Cimpeanu Machine Learning Software Engineer, NXP Semiconductors

2:40 PM
Technical Insights
2:40 pm - 3:10 pm
Strategies for Image Dataset Curation from High-Volume Industrial IoT Data
By Dan Bricarello Computer Vision Lead, Brambles, Apurva Godghase Senior Computer Vision Engineer, Brambles

2:40 PM
Technical Insights
4:15 pm - 4:45 pm
A Lightweight Camera Stack for Edge AI
By Jui Garagate Camera Software Engineer, Meta, Karthick Kumaran Staff Software Engineer, Meta

4:15 PM
Technical Insights
4:15 pm - 4:45 pm
Introduction to Radar and Its Use for Machine Perception
By Vencatesh Subramanian Design Engineering Architect, Cadence, Amol Borkar Product Marketing Director, Cadence

4:15 PM
Fundamentals
4:15 pm - 4:45 pm
Quantization Techniques for Efficient Deployment of Large Language Models: A Comprehensive Review
By Dwith Chenna MTS Product Engineer, AI Inference, AMD

4:15 PM
Technical Insights
4:15 pm - 4:45 pm
Using Computer Vision for Early Detection of Cognitive Decline via Sleep-Wake Data
By Ravi Kota CEO, AI Tensors

4:15 PM
Business Insights
4:50 pm - 5:20 pm
Integrating Cameras with the Robot Operating System (ROS)
By Karthik Poduval Principal Software Development Engineer, Amazon Lab126

4:50 PM
Technical Insights
4:50 pm - 5:55 pm
Introduction to Depth Sensing: Technologies, Trade-Offs and Applications
By Chris Sarantos Independent Consultant, Think Circuits

4:50 PM
Fundamentals
4:50 pm - 5:20 pm
Introduction to Knowledge Distillation: Smaller, Smarter AI Models for the Edge
By David Selinger CEO, Deep Sentinel

4:50 PM
Technical Insights

Sign Up to Get the Latest Updates on the Embedded Vision Summit Program

Learn about the newest speakers, sessions and other noteworthy details about the Summit Program by leaving us a few details.

Copyright 2010-2025 Edge AI + Vision Alliance