Using Machine Learning to Forecast Bird Migration
Podcast |
BirdNote Daily
Publisher |
BirdNote
Media Type |
audio
Categories Via RSS |
Education
How To
Natural Sciences
Nature
Science
Publication Date |
Nov 06, 2023
Episode Duration |
00:01:45

PhD student Mikko Jimenez and his colleagues are using machine learning to improve our ability to forecast bird migration. Machine learning is a type of artificial intelligence that can find patterns in huge amounts of data much faster than a person can, and then use those patterns to make predictions. Still, Mikko says it’s not as simple as computers to the rescue.

More info and transcript at BirdNote.org

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AI helps make advances — but it relies on human scientists.

PhD student Mikko Jimenez and his colleagues are using machine learning to improve our ability to forecast bird migration. Machine learning is a type of artificial intelligence that can find patterns in huge amounts of data much faster than a person can, and then use those patterns to make predictions. Still, Mikko says it’s not as simple as computers to the rescue.

More info and transcript at BirdNote.org

Want more BirdNote? Subscribe to our weekly newsletter. Sign up for BirdNote+ to get ad-free listening and other perks. 

BirdNote is a nonprofit. Your tax-deductible gift makes these shows possible.

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