Presentation

  • 17:45 – 18:00
Community members
ORCID iD icon

The AI-CORE Project - Artificial Intelligence for Cold Regions

Baumhoer, Celia1 , Dietz, A. J.1 , Heidler, K.1 , Zhu, X. X.2 , Scheinert, M.3 , Loebel, E.3 , Nitze, I.4 , Dinter, T.4ORCID iD icon , Frickenhaus, S.4
  1. Deutsches Zentrum für Luft- und Raumfahrt (DLR)
  2. TUM
  3. TU Dresden
  4. Alfred-Wegener-Institut - Helmholtz-Zentrum für Polar- und Meeresforschung

Funded by the Helmholtz Foundation, the aim of the Artificial Intelligence for COld REgions (AI-CORE) project is to develop methods of Artificial Intelligence for solving some of the most challenging questions in cryosphere research by the example of four use cases. These use cases are of high relevance in the context of climate change but very difficult to tackle with common image processing techniques. Therefore, different AI-based imaging techniques are applied on the diverse, extensive, and inhomogeneous input data sets.

In a collaborative approach, the German Aerospace Center, the Alfred-Wegener-Institute, and the Technical University of Dresden work together to address not only the methodology of how to solve these questions, but also how to implement procedures for data integration on the infrastructures of the partners. Within the individual Helmholtz centers already existing competences in data science, AI implementation, and processing infrastructures exist but are decentralized and distributed among the individual centers. Therefore, AI-CORE aims at bringing these experts together to jointly work on developing state of the art tools to analyze and quantify processes currently occurring in the cryosphere. The presentation will give a brief overview of the geoscientific use cases and then address the different challenges that emerged so far in this still on-going project. Moreover, we will give an overview of the status of this implementation and demonstrate the already available functionalities.