We are glad to announce the admission of the KI:STE doctoral researchers at HDS-LEE (Helmholtz School for Data Science in Life, Earth and Energy).HDS-LEE provides an interdisciplinary environment for educating…
The preprint of the article “AQ-Bench: A Benchmark Dataset for Machine Learning on Global Air Quality Metrics” by Clara Betancourt et al. is now in the public discussion phase. Creating…
KI:STE welcomes the new year by sharing goals and planning further collaboration. KISTE project partners met yesterday to discuss the PhD projects within the different Earth system science disciplines. Each…
Artificial intelligence (AI) methods are currently experiencing rapid development and are also being used more and more frequently in the context of environmental data. However, this is often done in…