By Blockchain News | Created at 2024-10-29 20:13:48 | Updated at 2024-11-05 21:07:03
1 week ago
Rebeca Moen Oct 29, 2024 18:17
AI-powered devices by Grizzly Systems are deployed in Yellowstone to track wolves, aiding conservationists in understanding behavior and protecting livestock. The technology uses advanced neural networks and NVIDIA GPUs.
A groundbreaking initiative is underway in Yellowstone National Park, where AI-powered devices are being used to track and protect endangered wolf populations. Developed by the Montana-based startup Grizzly Systems, these cell-phone-sized devices, known as GrizCams, utilize artificial intelligence to monitor wolf activity, according to NVIDIA.
Innovative Technology Enhances Conservation Efforts
GrizCams are deployed across the Greater Yellowstone ecosystem, capturing audio and video data of wolf howls. This data is subsequently analyzed by AI models, specifically convolutional neural networks, which convert the audio into spectrograms to identify various aspects of wolf vocalizations and their geographic origins. The AI models are trained using NVIDIA A100 Tensor Core GPUs in the Azure cloud, employing the PyTorch framework and NVIDIA CUDA-X libraries.
Broad Implications for Wildlife Management
Jeff Reed, CEO of Grizzly Systems, emphasized the devices' capability to cover large areas continuously, addressing the resource constraints faced by wildlife managers. The AI technology can discern different pitches and intonations in wolf howls, which travel over six kilometers, aiding in mapping territorial boundaries. Although current models cannot yet identify individual wolves, future advancements aim to achieve this.
The GrizCams play a crucial role in a broader conservation strategy, balancing the needs of the local wolf population, the Yellowstone eco-tourism industry, and ranchers protecting their livestock. By tracking wolf movements, conservationists can devise strategies to prevent livestock attacks, such as using sound deterrents to redirect wolves away from ranchlands.
Expanding Applications of AI in Conservation
Beyond wolf conservation, the AI technology in GrizCams offers potential applications in various industrial sectors. The devices' ruggedness and battery efficiency make them suitable for monitoring remote infrastructure like oil rigs and electrical transformers, which are often targeted by vandals.
Reed highlighted the broader environmental benefits of AI, which can help combat illegal activities like poaching and wildlife trafficking. By enhancing the ability to monitor vast, remote areas, AI technology supports conservationists in protecting endangered species and their habitats.
The collaboration between Grizzly Systems and conservationists continues to evolve, with plans to expand the use of this technology in other conservation efforts. The initiative demonstrates the potential of AI to transform wildlife management and conservation strategies on a global scale.
Image source: Shutterstock
