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Analysis

This article summarizes a podcast episode featuring Jason Holmberg, Executive Director of WildMe. The discussion centers on WildMe's open-source computer vision projects, Wildbook and Whaleshark.org, which utilize computer vision and deep learning for wildlife conservation. The episode explores the origins of Wildbook, its growth, and the evolution of its technological applications. The article highlights the use of AI in conservation efforts, specifically focusing on how computer vision and deep learning are being applied to identify and track animals. The source is Practical AI, suggesting a focus on practical applications of AI.

Key Takeaways

Reference

Jason and I discuss Wildme's pair of open source computer vision based conservation projects, Wildbook and Whaleshark.org, Jason kicks us off with the interesting story of how Wildbook came to be, the eventual expansion of the project and the evolution of these projects’ use of computer vision and deep learning.

Research#Conservation👥 CommunityAnalyzed: Jan 10, 2026 17:32

Deep Learning Aids Right Whale Conservation: Recognition and Localization

Published:Feb 2, 2016 03:42
1 min read
Hacker News

Analysis

This article highlights the application of extremely deep neural networks to a critical conservation issue: right whale identification. The use of AI for wildlife monitoring shows promise, but the article's lack of specifics leaves room for improvement.
Reference

The article focuses on recognizing and localizing Right Whales.

Research#llm👥 CommunityAnalyzed: Jan 4, 2026 08:44

Using deep learning to listen for whales

Published:Jan 10, 2014 12:41
1 min read
Hacker News

Analysis

The article likely discusses the application of deep learning techniques, a subset of AI, to analyze underwater sounds and identify whale vocalizations. This could involve training models on audio data to recognize specific whale calls, potentially aiding in conservation efforts by monitoring whale populations and their behavior. The source, Hacker News, suggests a technical focus, likely detailing the methods and challenges of this research.

Key Takeaways

    Reference