The advances on MLOps and drift monitoring, federated learning studies, the AI4EOSC platform and the project’s Automated Thermography use case were presented by KIT scientists during the Helmholtz AI conference, held in Düsseldorf, Germany, on June 12-14.
More than 200 scientists from the Helmholtz Association met in Düsseldorf, where two unconference events were also organised by KIT researchers from the AI4EOSC consortium — one on MLOPs and another one on federated learning.
The architecture and features of the AI4EOSC platform triggered a high interest and stimulated cross-project networking during the conference, which presented a good opportunity to discuss, get insights and showcase AI related research.
The AI4EOSC sister-project, iMagine, was also showcased during the conference. This project makes active use of the computing resources deployed with AI4OS.
Helmholtz scientists spent two fruitful days on discussing foundation models, their challenges and advantages, application for science and needed infrastructures. The keynote talks were followed by shorter talks in two parallel sessions.
Next year’s conference will be hosted in Karlsruhe, home of KIT, on June 3-5, 2025.
