The team includes researchers from DFKI’s Interactive Machine Learning department and the University of Oldenburg. Together, they developed drone, sensor, and analytical technologies to collect biodiversity data and generate insights about tropical rainforests, obtaining an outstanding third place. The Brazilian Team is among the winners of the XPRIZE Rainforest competition Read more…
At the 26th International Conference on Multimodal Interaction (ICMI 2024) in San José, Costa Rica, IML had several notable contributions. A full paper titled “Perceived Text Relevance Estimation Using Scanpaths and GNNs,” by Abdulrahman Mohamed [1], a workshop paper titled “Detecting when Users Disagree with Generated Captions,” by Omair Shahzad Read more…
The biodiversity crisis is maybe the most pressing issue of our time, which makes measuring the biodiversity an important precursor for improvement. Biodiversity assessment is limited by data management and analysis tools. Prior work has approached this problem by exploring the space of tools that can aide workflows of biodiversity Read more…
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…