Join us for our upcoming episode of Ampere Developer Impact where we explore a unique, real-world “AI for Good” application running on Arm64 architecture: non-invasive wildlife conservation through computer vision.
Sean Varley (VP of Business Development at Ampere) is hosting Ed Miller (Senior Principal Engineer at Arm & Technical Lead for the BearID Project) for a deep dive into how deep learning is being used to identify individual grizzly bears without ear-tagging or invasive sampling.
Event Details
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Date: Wednesday, July 29, 2026
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Time: 9:00 AM – 10:00 AM Pacific Time
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Format: Live Stream & Q&A
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Registration Link: Register Here
What We’ll Cover:
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Landmark Recognition Pipeline: How BearID isolates facial landmarks (eyes, nose, forehead) to achieve over 84% accuracy on wild bear populations.
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Edge-to-Cloud Workflows: Bridging the pipeline between remote camera traps and high-performance Ampere arm64 servers via the open-source TRAPPER ecosystem.
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Deployment & Hardware: How the stack operates on dense Arm compute platforms (like the Ampere Fly Away Kit).
If you have any questions you’d like us to bring up during the session, post them below! 
More information is located here.
