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Recent research led by the University of Massachusetts Amherst evaluates the use of machine learning to identify different insect species by their sound, providing a way to monitor insect populations and the overall health of the environment. The study suggests that machine and deep learning are becoming the gold standards for automated bioacoustics modeling, and that ecologists and machine-learning experts can work together to develop the technology’s full potential.
