Qualcomm Deep Dive Day

We're proud to announce the Deep Dive Session for the 2025 Summit

The Edge AI Deep Dive Day includes in-person sessions where the industry’s leading companies delve into specific topics in visual and AI. Deep Dive sessions are focused on a unique subject, and is a fantastic opportunity to thoroughly explore vital aspects of AI.

We are excited to be offering in-depth sessions on Tuesday, May 20 at the 2025 Embedded Vision Summit. Deep Dive session tickets are $25 each and may be purchased with or without a Summit pass.

Interested in sponsoring a 2025 Deep Dive Session?

Create Better Models and Deploy Them Everywhere with Edge Impulse

Maximizing Efficiency of Edge AI Models with Minimum Effort

We're still in the process of putting together our 2025 Deep Dive Day, but in the meantime, this session from 2024 gives an idea of what you can expect!

Accelerating Model Deployment with Qualcomm AI Hub

Tuesday, May 20, 2025

1:30 pm - 4:30 pm PT

Join us for our 2nd Qualcomm AI Hub x EVS workshop! Whether you’re looking to get started with AI Hub or improve performance, expand to new use cases and learn what’s new, if you enjoyed this workshop in 2024, we think you’ll want to attend again in 2025. We’ll address the common challenges faced by developers bringing AI to edge devices.

Qualcomm AI Hub focuses on bringing performant AI models on device, with 60+ device types to test your model on, 150+ pre-optimized models, familiar frameworks, and runtimes. AI Hub provides a comprehensive platform for advanced developers to iterate and optimize model performance for their own AI models. Bring your laptop as we dive deep and empower developers to efficiently deploy optimized models on real devices using Qualcomm AI Hub.

We’ll begin with an introduction to Qualcomm AI Hub and its latest features, including support for new devices like Snapdragon 8 Elite and Snapdragon Automotive Cockpit platform, enhanced model quantization, and how to bring LLMs on device. Attendees will also learn about our ecosystem of models from Mistral AI, IBM, G42, Meta and more, now available on Qualcomm AI Hub as well as how to fine-tune their model ahead of bringing it to AI Hub using AI development platforms like Amazon SageMaker.

Attendees will have opportunities to discuss difficult use cases and questions with the Qualcomm AI Hub team and engage in hands-on sessions tailored for machine learning engineers and AI/ML application developers, including those building AI models for Android, Windows, and IoT/AIoT applications.

To participate in the hands-on session, please bring your laptop! We’ll use Google Colab through your browser, or your preferred code editor to get started with AI Hub and have you submitting a model in minutes. Get a head start by running “pip install qai-hub”! Join us for an immersive session where you’ll discover how to harness the power of AI Hub to streamline your deployment process and bring your AI applications to life in just minutes. We look forward to seeing you there!

2024 General Session

Presenter
Felix Baum
Senior Director of Product Management, AI and Hexagon Software
Qualcomm Technologies

Felix Baum is responsible for AI Software Products at Qualcomm Technologies Inc. (QTI). Felix has spent 20+ years in the embedded industry, both as an embedded developer and as a product manager. He previously managed QTI Product Management for the Hexagon Software supporting DSPs with scalar, vector and tensor accelerators for camera, video, machine learning and audio verticals. Prior to that, he led marketing and product management efforts for various real-time operating system technologies at Mentor Graphics and Wind River Systems. His career began at NASA’s Jet Propulsion Laboratory at the California Institute of Technology, designing flight software for various spacecraft and managing integration for a launch campaign of the GRACE mission. Felix holds a master’s degree in computer science from the California State University at Northridge and a Master of Business Administration from the University of California at Los Angeles.

Hardware Requirements
Laptop

Location
Santa Clara Convention Center – Room 209/210

Refreshments
Coffee and pastries will be provided

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.