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A new study is opening a rare acoustic window into the hidden world of underwater predators. Using machine learning and underwater recordings, researchers developed a system that can detect and classify shell-crushing feeding events by whitespotted eagle rays as they prey on clams, oysters and other shellfish. The technology delivers near-deep learning accuracy with far less computing power, paving the way for real-time, large-scale monitoring of predator behavior and the health of coastal ecosystems.