The overall objective of the institute is to advance real-world AI, with applications for health and smart territories.
There is a growing need from scientists, companies and the general public for versatile and interpretable AI algorithms.
There are common scientific bottlenecks across our application domains that we intend to address in a fundamental and collaborative manner.
For instance, making decisions based on small or heterogeneous datasets is pervasive in medicine and biology, while learning from non-structured data is a growing concern in medicine and smart territories, both issues give rise to difficult theoretical problems.
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