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April 2, 2024
Scientists are on a quest to log all the sounds of fish communication. The result could lead to better monitoring of ecosystems and fish behavior.
April 28, 2023
Using hydrophones to eavesdrop on a reef off the coast of Goa, India, researchers have helped advance a new low-cost way to monitor changes in the worldโs murky marine environments.
April 1, 2023
An 80-year-old artist in a small coastal community in California has completed a mural commemorating his city's relationship with its sister city in Japan that was devastated by an earthquake and tsunnami in 2011.
January 23, 2022
Scientists are using machine learning to listen to sounds made by fish.
January 19, 2022
(Inside Science) -- As the sun rises over the island of American Samoa, a chorus of animal voices drifts upward. They're not the calls of birds, though -- the purrs, clicks and groans are coming from under the water. New research shows how automation can make it increasingly easy to eavesdrop on the fish making the sounds and uncover how their environment impacts them. Jill Munger first heard about fish that make sounds while she was an undergraduate student. A veteran researcher told her a...
January 19, 2022
(Inside Science) -- As the sun rises over the island of American Samoa, a chorus of animal voices drifts upward. They're not the calls of birds, though -- the purrs, clicks and groans are coming from under the water. New research shows how automation can make it increasingly easy to eavesdrop on the fish making the sounds and uncover how their environment impacts them. Jill Munger first heard about fish that make sounds while she was an undergraduate student. A veteran researcher told her a...
January 8, 2022
Machine learning technique helps identify specific fish calls in massive data sets
January 7, 2022
An Oregon State University research team and collaborators have developed an automated method that can accurately identify calls from a family of fishes.
January 6, 2022
CORVALLIS, Ore. โ An Oregon State University research team and collaborators have developed an automated method that can accurately identify calls