
Technology
Edge Impulse <> Qualcomm IoT Technical Enablement
About the event
๐ Location: Qualcomm, Santa Clara
๐ Time: 3:00 PM - 5:00 PM
๐ป Happy Hour to Follow!
Join us for an engaging in-person session focused on deploying machine learning on real-world, resource-constrained devices. This enablement will dive deep into practical strategies for running ML at the edgeโwhere compute, memory, power, and connectivity are limited.
What to Expect:
- Insightful talks from two expert speakers
- Live demonstrations on:
- Transitioning from sensor data to on-device intelligence
- Best practices for deploying and maintaining ML on embedded hardware
- Real-world examples of edge ML in production, including Image Classification & Multi-Target Deployment
Weโll conclude the day with a nearby happy hour for further discussions and networking with peers who are also involved in building intelligent devices.
Who Should Attend:
๐ท Embedded Engineers
๐ง ML Engineers
๐ง Hardware Leaders
๐ฌ R&D Teams engaged in edge or custom hardware development
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