Summary: A new artificial intelligence algorithm trained using the soundscapes of both healthy and degraded reefs can determine reef health 92% of the time. Coral reefs have a complex soundscape – and even experts have to conduct painstaking analysis to measure reef health based on sound recordings. In the new study, published in Ecological Indicators, scientists trained a computer algorithm using multiple recordings of healthy and degraded reefs, allowing the machine to learn the difference. The computer then analyzed a host of new recordings, and successfully identified reef health 92% of the time. The team used this to track the progress of reef restoration projects.