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…

Semi-Supervised Learning With Local Prototype Networks

Detecting animal sounds is an essential aspect of scientific research and conservation efforts. It provides valuable insights into biodiversity, species behavior, and ecosystem health. Monitoring of terrestrial and marine wildlife is a way to decrease biodiversity loss and improve species conservation. To achieve this goal passive acoustic monitoring (PAM) is Read more…