Edge Impulse <> Qualcomm IoT Technical Enablement
​📍 Santa Clara | 🕒 3:00–5:00 PM
🍻 Happy Hour to Follow
​Join us for an in‑person session on deploying machine learning on real‑world, resource‑constrained devices. This enablement will focus on practical approaches to running ML at the edge—where compute, memory, power, and connectivity are limited.
​You’ll hear from two speakers and see two live demos covering:
​How teams go from sensor data to on‑device intelligence
​Best practices for deploying and maintaining ML on embedded hardware
​Real examples of edge ML in production
​Image Classification & Multi-Target Deployment
​We’ll wrap with a nearby happy hour to continue the conversation with peers building intelligent devices.
​Who should attend: embedded engineers, ML engineers, hardware leaders, and R&D teams building edge or custom hardware.