Acoustic AI in biodiversity monitoring

GDG AI for Science - Australia

An overview of Google's efforts to develop flexible machine learning tools to help understand biodiversity through sounds recordings

Dec 3, 11:00 PM – Dec 4, 12:00 AM (UTC)

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Key Themes

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About this event

Increasingly, we can use sound to tell us about the presence of threatened animals, but also learn about the health of ecosystems and animal populations, and learn what kinds of interventions are most effective. In this talk, we'll see how bird song models and flexible machine learning tools developed by the Google Perch team are being used to understand coral reef health, monitor bird abundance, discover new populations, and measure reproductive success in threatened species. By reducing the development time for new classifiers to less than a day, we allow experts to answser a much broader range of questions than ever before

Speaker

  • Tom Denton

    Google DeepMind

    Software Engineer

Organizers

  • Susan Wei

    University of Melbourne

    Organizer

  • Pablo Larraondo

    Haizea Analytics

    Organizer

  • Marcel Scharth

    The University of Sydney

    Organizer

  • Lifi Huang

    Monash University

    Organizer

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