{"id":33818,"date":"2023-11-30T13:55:00","date_gmt":"2023-11-30T12:55:00","guid":{"rendered":"http:\/\/750ab11f-f8af-4767-b303-3c00752cc1da"},"modified":"2023-11-30T15:36:55","modified_gmt":"2023-11-30T14:36:55","slug":"ai-in-wildlife-conservation-a-revolutionary-step-or-just-a-more-efficient-way-to-record-the-sinking-of-the-titanic","status":"publish","type":"rss_feed","link":"https:\/\/c01.purpledshub.com\/bbcwildlife\/rss_feed\/ai-in-wildlife-conservation-a-revolutionary-step-or-just-a-more-efficient-way-to-record-the-sinking-of-the-titanic\/","title":{"rendered":"AI in wildlife conservation: A revolutionary step or just a more efficient way to “record the sinking of the Titanic”?"},"content":{"rendered":"

Artificial intelligence looks set to revolutionise ecological monitoring. But at what price? <\/p>

By Stuart Blackman\n <\/p>

Published: Thursday, 30 November 2023 at 12:55 PM<\/p>

\n\n

Artificial intelligence (AI) may not be ready to take over the world just yet, but according to new research<\/a>, it is poised to revolutionise how we monitor wildlife. A proof-of-concept trial shows that AI is capable of identifying the species present in tropical forests based sound recordings alone.<\/p>

Biologists working in Ecuador trained an AI system to recognise the calls of 70 bird species and then tested its ability to pick them out from recordings made in forests at various stages of regeneration.<\/p>

As reported in the journal\u00a0Nature Communications<\/a><\/em>, the system could identify not only the calls, but also the stage of regeneration based on the communities of species present.<\/p>

The technique presents an opportunity to process huge amounts of data, which would not be possible using an expert human workforce. And it can be done without disturbing the wildlife. <\/p>

\u201cIt gives us an efficient way of measuring the success of conservation projects,\u201d says J\u00f6rg M\u00fcller, who led the research from the University of W\u00fcrzburg, Germany.\u00a0<\/p>