Researchers combine acoustic monitoring with a neural network to identify fish activity on coral reefs by sound. They trained the network to sort through the deluge of acoustic data automatically, analyzing audio recordings in real time. Their algorithm can match the accuracy of human experts in deciphering acoustical trends on a reef, but it can do so more than 25 times faster, and it could change the way ocean monitoring and research is conducted.
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