Date: July 29th 9:00 - 10:00 am Pacific
Register here: AI in the Wild- Scaling Bear Facial Recognition with Ampere/Arm64
Tired of hearing only bad stories about AI? Discover how deep learning and facial recognition are being harnessed as a powerful force for the planet in our next episode of Ampere Developer Impact. We are diving into the BearID Project, a pioneering initiative that identifies individual bears, a species that famously lacks unique markings like spots or stripes, by analyzing specific facial landmarks such as the distance between the eyes, nose, and forehead. This non-invasive “AI for Good” approach allows researchers to monitor wildlife health and habitat trends with 84% accuracy without the need for stressful physical tagging or expensive DNA testing.
Join Ed Miller, Senior Principal Engineer at Arm and Technical Lead for BearID, and guest host Sean Varley, VP of Business Development at Ampere, for a deep dive into this cutting-edge conservation journey. They will discuss how this technology is being deployed from the salmon-rich rivers of Western Canada to the high-altitude forests of the Andes in South America. Learn how the project bridges the gap between the “true edge”; remote, battery-powered camera traps and high-performance Ampere arm64 servers. You will see how the TRAPPER open-source ecosystem, running on Ampere hardware, transforms raw wilderness imagery into the actionable data needed to protect biodiversity for future generations.
