Artificial intelligence used to identify and count wild animals

Researchers from the University of Wyoming have shown how images, collected by motion-sensor cameras, can be rapidly interpreted by deep neural networks. This has led to a system that can automate animal identification with an accuracy of 99.3 percent of images. When compared to humans (as part of a citizen science project) the artificial intelligence was more accurate (the human volunteers came in with a 96.6 percent accuracy rate). This type of machine learning could be used to assist with nature conservation. Achieving this level of accuracy was not straightforward.