Hello Ampere Developers,
AI algorithms running on Ampere servers help track bears in the wild and preserve their habitat! This great use of AI is brought to you by the TRACKER project and Bear ID. Researchers use facial recognition to identify behavioral patterns of individual bears, and power efficient Ampere/Arm64 servers to process thousands of hours of video capture.
Updated Date: Developer Impact Live: AI in the Wild—Scaling Bear Facial Recognition
On July 31, 2026, at 09:00 AM Pacific/Noon Eastern/17:00 CEST, Ed Miller of Arm joins us on Ampere Developer Impact Live to talk about the BearID project. This episode explores how technology can be a powerful force in sustainability efforts for the planet. Researchers are using deep learning to identify individual bears with 84 percent accuracy by analyzing facial features, such as the distance between the eyes, nose, and forehead. This non-invasive approach allows researchers to monitor wildlife health and habitat trends without the need for stressful physical tagging. Learn how this project bridges the gap between remote, battery-powered camera traps and high-performance Ampere Arm64 servers using the TRAPPER open-source ecosystem.
Register Now: AI in the Wild- Scaling Bear Facial Recognition with Ampere/Arm64
- Learn more about BearID:
- The Official BearID Project Website: https://bearresearch.org/
- This is the primary hub for the project, containing details on their research, the team, and a blog with project updates.
- The TRAPPER Ecosystem (Open Science Conservation Fund): TRAPPER
- WILDLABS Community: [https://wildlabs.net] The central online community that connects technologists and ecologists to solve environmental challenges. This is where the BearID co-founders first met.
- BearID GitHub Repository: GitHub - hypraptive/bearid: Hypraptive BearID project. FaceNet for bears. · GitHub For those interested in the technical side, the project is open-access and the code is freely available for adoption by anyone.
- Ampere arm64 Developer Community Discussion: Post questions that we can ask Ed.
Sustainability is at the heart of Ampere’s Mission:
The BearID project is just one example of how we address the critical challenge of today’s digital economy: businesses must do more with less. At Ampere, we focus on delivering more performance and scale while utilizing less energy and Ampere/Arm64 servers focus on delivering more performance and scale while consuming less energy and reducing costs.
Ampere/Arm64’s Real-World Impact: Uber-
Ampere/Arm64 instances achieve up to 80% more AI inferences per watt compared to old fashion x86 machines. And in more traditional compute situations, Ampere servers are shrinking the footprint at leading organizations. A good example of this is Uber, who has been migrating its production workloads to Ampere compute shapes on Oracle Cloud Infrastructure (OCI). Uber has scaled rapidly while cutting power consumption by 30 percent. This move is a dual win for cost efficiency and sustainability. Read More: Uber Runs on Ampere .
Join the Conversation! Are you looking for ways to make your own workloads more energy-efficient? How are you measuring the power consumption of your cloud applications? We want to hear about it. Share your sustainability goals and technical questions with the community at the Ampere arm64 Developer Community
Happy coding,
The Ampere Developer Relations Team