Edge Impulse <> Qualcomm IoT Technical Enablement
- WHO IT IS FOR: Embedded engineers, ML engineers, hardware leaders, and R&D teams developing edge or custom hardware.
- WHAT IT IS ABOUT: Practical strategies for deploying machine learning on resource-constrained IoT devices and embedded hardware.
- FORMAT: A technical enablement session featuring expert speakers and live demos, followed by a networking happy hour.
Join Edge Impulse and Qualcomm in Santa Clara for a deep dive into the world of TinyML and edge intelligence. This technical session focuses on the practical challenges of running machine learning on real-world devices where compute, memory, and power are limited, providing you with the tools to move from raw sensor data to on-device intelligence.
Attendees will experience two live demonstrations covering image classification and multi-target deployment. You will learn industry best practices for deploying and maintaining ML models on embedded hardware and see real-world examples of edge ML currently in production.
Following the technical presentations, stay for a nearby happy hour. This is a great opportunity to network with peers and fellow engineers who are building the next generation of intelligent devices.