RI-SCALE

Data and AI are the fuel of scientific discoveries, and Research Infrastructures (RIs) are at the forefront of this process, generating datasets of increasing size and complexity. Handling these datasets demands large-scale infrastructures and technical expertise from those on the user side. RI-SCALE aims to address this challenge by delivering Data Exploitation Platforms (DEPs) to unlock the full potential of data and AI for new discoveries. These platforms are scalable environments to co-host scientific data with preconfigured AI frameworks and models on powerful compute resources. RI-SCALE will design and develop the DEP technology with four RIs: ENES, EISCAT, BBMRI and Euro-BioImaging.

The goal of LTU (along with neuraspace External link, opens in new window.) is to examine various AI models to support EISCAT External link, opens in new window. in the intelligent scheduling of radar observations and experiments, as well as in finding anomalies (rare events or disturbances) in their data.