Google DeepMind released Perch 2.0 on August 7, 2025, expanding its AI model’s capabilities beyond birds to include mammals, amphibians and human-made noise. The updated version better adapts to underwater environments like coral reefs and can disentangle complex acoustic scenes at much larger scale. “What’s not to love about birds? They do all of the work in the forest: pollination, seed dispersal,” says Amanda Navine, Bioacoustic Researcher at LOHE Lab in Hawaii, who works with the technology to track endangered honeycreepers. Perch 2.0 was trained on approximately 1.54 million source recordings drawn from public sources like Xeno-Canto, iNaturalist, Tierstimmenarchiv, and … Continue reading Almost 3/4 of Our Native Species Lost”: Google’s New AI Analyzes Hawaii’s Wildlife Sounds 50x Faster to Help Endangered Species
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