Speakers


See Our First Batch of 2027 Speakers!

Every year we find the engaging speakers with a proven track record in computer vision and physical AI!  

Plenary Speakers

Ken Goldberg, William S. Floyd Distinguished Professor of Engineering, UC Berkeley

Ken Goldberg

William S. Floyd Distinguished Professor of Engineering
UC Berkeley

Physical AI: Closing the Data Gap with 3D Physics Models and Good Old-Fashioned Engineering

Plenary Session, Tuesday, February 2 · Learn more about this talk

Amir Navot, Senior Principal Scientist, Prime Air

Amir Navot

Senior Principal Scientist
Prime Air

Perception You Can Trust: Machine Learning Lessons from Autonomous Drone Delivery at Scale

Plenary Session, Wednesday, February 3 · Learn more about this talk

New speakers announced weekly, check back soon.

Stanley Chen, Staff Software Engineer, Google

Stanley Chen

Staff Software Engineer
Google

Modern Edge Image/Video Understanding Architectures: From CNNs to ViTs

Amrith Coumaran, Computer Vision Scientist, Privateer Space

Amrith Coumaran

Computer Vision Scientist
Privateer Space

Ditching the Cloud: Running Lightweight Geospatial Foundation Models on the Edge

Raja Giryes, Professor (Tel Aviv University) and Research Scientist (Apple)

Raja Giryes

Professor (Tel Aviv University) and Research Scientist (Apple)

Understanding the Visual Capabilities of Multimodal Models

Manu Nicholas Jacob, Hardware Engineer, Dell Technologies

Manu Nicholas Jacob

Hardware Engineer
Dell Technologies

What Actually Limits Vision Inference Performance on a Raspberry Pi 5?

Jason Kim, Chief Systems Architect, ONK Technology

Jason Kim

Chief Systems Architect
ONK Technology

How to Train an AI for an Industrial Edge Device

Seulki Lee, Associate Professor, School of Electrical Engineering, KAIST

Seulki Lee

Associate Professor, School of Electrical Engineering, KAIST

Beyond Model Compression: A Systems Playbook for Generative Vision AI at the Edge

John Long, Co-Founder and CTO, Qwake Technologies

John Long

Co-Founder and CTO
Qwake Technologies

What Breaks When You Put a Computer on a Firefighter’s Head: Lessons from Building Physical AI for the Real World

Déborah Mesquita, Lead AI Research Scientist, NTT Data

Déborah Mesquita

Lead AI Research Scientist
NTT Data

Pose as a Signal: Building Interpretable Mobility Monitors on the Edge

Chris Sarantos, Staff Optical & Vision Scientist, Think Circuits

Chris Sarantos

Staff Optical & Vision Scientist
Think Circuits

Introduction to Depth Sensing: Technologies, Trade-Offs and Applications

Jigar Kuverji Savla, Silicon Architect & Product, AI Inference Systems, Tensordyne

Jigar Kuverji Savla

Silicon Architect & Product, AI Inference Systems, Tensordyne

Beyond the Leaderboard: A Practical Method for Selecting Vision-Language Models

Cole Sutyak, Head of AI, Sanctuary Software Studio

Cole Sutyak

Head of AI
Sanctuary Software Studio

Lessons from Building an Edge Vision-Based Fall Detection System

MS Wang, Principal Analyst, Counterpoint Research

MS Wang

Principal Analyst
Counterpoint Research

Memory Market Outlook for Edge/Embedded Systems: Drivers, Dynamics and Scenarios

Want to see more? Check out last year’s speakers.

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