About
Foundation Models represent a new generation of AI models characterized by a broad knowledge base, enabling them to solve a range of complex problems.
These models are significantly more powerful and flexible than traditional AI models, offering enormous potential for modern, data-driven science. They can become powerful tools capable of answering a variety of research questions.
The Helmholtz Association provides ideal conditions for developing such forward-looking applications: an abundance of data, powerful supercomputers for training the models, and extensive expertise in artificial intelligence.
Our goal is to develop Foundation Models across a wide spectrum of research fields to address the major questions of our time.
Podcasts from the AI-Night @ Falling Walls Conference on November 8, 2024
Different perspectives on the scientific and science-political value of Foundation Models - Paul Jaeger (DKFZ) & Lars Mehwald (DLR)
Basic science driven approach versus the industry approach - Lena Maier-Hein (DKFZ) & Florin Ghesu (Siemens Healthineers)
Possible strategies for more sustainable AI Modelling - Marie Piraud (Helmholtz AI) & Loïc Lannelongue (U Cambridge)
Data pipelines, data availability, current needs and activities for building a data ecosystem - Peter Steinbach (HZDR) & Wolfgang zu Castell (GFZ)
The challenge of sharing and working with heterogeneous data for new technology development - Jose Marquez (HU-Berlin), Eva Unger (HZB) & Stefan Kesselheim (FZJ)