![]() The researchers also fed their recordings to a type of AI model called a convolutional neural network (CNN), which had already been developed to identify bird sounds. They gave the audio files to experts, who were able to identify 183 bird, 41 amphibian and 3 mammalian species.ĪI and science: what 1,600 researchers think They placed recorders in 43 plots of land representing different stages of recovery: forests that were untouched by deforestation, areas that had been cleared but then abandoned and had started to regrow, and deforested land actively used for cacao plantations and pasture. ![]() In a study published on 17 October in Nature Communications 2, the researchers used AI to analyse animal ‘soundscapes’ in the Chocó, a region in Ecuador known for its rich species diversity. Soundscape analysisĮcologist Jörg Müller at the University of Würzburg, Germany, and his colleagues have shown that AI tools can help to quantify biodiversity in tropical forests by identifying animal species from audio recordings. “We very much need human practitioners in the loop to design models, as well as collect, label, quality check and interpret data,” he says. In response, the United Nations set a goal in 2020 to safeguard at least 30% of Earth’s land and oceans by the end of the decade.ĪI is “imperfect” but could accelerate important discoveries, says Nicolas Miailhe, Paris-based founder of The Future Society, an international non-profit organization that aims to better govern AI. Species are vanishing at a rate hundreds to thousands of times faster than that millions of years ago 1, with up to one million species on the brink of extinction. ![]() “Without AI, we’re never going to achieve the UN’s targets for protecting endangered species,” says Carl Chalmers, who studies machine learning at Conservation AI, a UK-based non-profit organization in Liverpool that uses AI technology for various ecology projects.įunding battles stymie ambitious plan to protect global biodiversity Unlike conventional methods that can disrupt ecosystems or require considerable time, labour and resources, AI has the potential to quickly and effectively analyse vast quantities of real-world data. An increasing number of researchers is turning to artificial intelligence (AI) to monitor biodiversity and bolster efforts to help endangered species.
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