Work

AD4GD D5.1 AI, ML in HPC and cloud for FAIR Science Services

Year: 2025

Type: article

Abstract: This document presents the advancements made in the first half of the AD4GD project on leveraging AI and HPC to support AD4GD research with a strong focus on pilot cases. The tasks carried in this work package focused on developing AI-powered tools for analyzing environmental data, predicting future conditions, and designing intuitive user interfaces. Specific AI applications include water level forecasting for Berlin lakes and connectivity map generation for Catalonia region. The integration of these tools with other AD4GD components is also discussed, highlighting their contribution to the overall project goals of promoting FAIR science practices and addressing environmental challenges.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17201393

Authors: Di Pietro, Franco, Elicegui Maestro, Ignacio, Berwanger, Kristian, Mebus, Lina, Koopmann, Marisa, Crettaz, Cédric

Institutions: Fraunhofer Institute for Applied Information Technology, Mandat International

Language: English

Topic: Environmental Monitoring and Data Management

Subfield: Geology

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Climate action

Open Access status: green

Funder: European Commission