How to speak whale: AI uses eight to ten click sequences to predict sperm whales' feeding dives

Project CETI researchers combined underwater acoustic recordings with sensor tags to track sperm whale behavior. Machine learning models used sequences of eight to ten vocal clicks to predict when whales initiate deep feeding dives. The approach connects automated acoustic pattern recognition directly to recorded physical movements.

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