FUNDIS is a multidisciplinary research initiative developing the next generation of AI methods for scientific discovery by combining modern foundation models with domain sciences.
Research topics include
Foundation Models
Self-Supervised Learning
JEPA-like Architectures
World Models
Representation Learning
Explainable AI
Information Bottleneck Theory
Bio-inspired AI
Reasoning and Memory
Vision-Language Models
Scientific Machine Learning