Thanks to the University of Minnesota for sponsoring this video! twin-cities.umn.edu/ New technology has revolutionized how we study wild animals, but it has also bogged down scientists with data...luckily, there's an *intelligent* solution. Thanks also to our Patreon patrons www.patreon.com/MinuteEarth and our YouTube members. ___________________________________________ To learn more, start your googling with these keywords: Deep learning: a subset of machine learning in artificial intelligence that can learning from data that is unstructured or unlabeled ___________________________________________ If you liked this week’s video, you might also like: Take a look at the Snapshot Serengeti colletion and try your hand at classifying species, counting animals, and determining behaviors: www.zooniverse.org/projects/zooniverse/snapshot-serengeti Learn about the whale shark project and report your sightings: www.whaleshark.org/ Explore underwater recordings of humpback whales and make your own discoveries: patternradio.withgoogle.com/ _________________________________________ Subscribe to MinuteEarth on YouTube: goo.gl/EpIDGd Support us on Patreon: goo.gl/ZVgLQZ And visit our website: www.minuteearth.com/ Say hello on Facebook: goo.gl/FpAvo6 And Twitter: goo.gl/Y1aWVC And download our videos on itunes: goo.gl/sfwS6n ___________________________________________ Credits (and Twitter handles): Script Writer, Editor, Video Director and Narrator: Kate Yoshida (@KateYoshida) Video Illustrator: Arcadi Garcia (@garirius) With Contributions From: Henry Reich, Alex Reich, Ever Salazar, Peter Reich, David Goldenberg, Julián Gómez, Sarah Berman Music by: Nathaniel Schroeder: www.soundcloud.com/drschroeder Image Credits: All the photos of the savannah by the SnapshotSerengeti Project snapshotserengeti.org Sogod Bay Whale Shark video by Miguel Hilario www.youtube.com/watch?v=husPSPJv80o ___________________________________________ References: Duporge I, Isupova O, and Reece S (2019, April 4) Using Satellite Imagery and Machine Learning to Detect and Monitor Elephants. blog.hexagongeospatial.com/using-satellite-imagery-and-machine-learning-to-detect-and-monitor-elephants/ Norouzzadeh MS, Nguyen A, Kosmala M, Swanson A, Palmer MS, Packer C, and Clune J (2018). Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning. Proceedings of the National Academy of Sciences of the United States of America 115 (25): E5716-E5725. dash.harvard.edu/bitstream/handle/1/37298550/6016780.pdf?sequence=1 Packer C, personal communication (2019, September 12). Swanson AB, Kosmala M, Lintott CJ, Simpson RJ, Smith A, Packer C (2015) Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna. Scientific Data 2: 150026. www.nature.com/articles/sdata201526 Wildbook for Whale Sharks. www.whaleshark.org/

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