Xprize Rainforest Finalists

Researchers from IML Oldenburg, together with doctoral students from the Applied Artificial Intelligence (AAI) department at the University of Oldenburg, have reached the finals of XPRIZE Rainforest, a global competition that promotes innovative technologies for researching, assessing and conserving biodiversity in tropical rainforests. As part of the Brazilian Team, they Read more…

Interactive annotation of passive acoustic monitoring datasets

Passive acoustic monitoring (PAM), the recording of sounds using microphones (e.g. in biosphere reserves), is an increasingly popular method for continuous, reproducible, scalable and cost-effective monitoring of wildlife [Sugai et al., 2018]. It is widely employed in various fields, including ecology, marine biology, and conservation, to study animal behavior, biodiversity, Read more…