Fall 2022 – Linköping
Hybrid AI – Where data-driven and model-based methods meet
Data-driven machine learning presents many challenges such as how to deal abstract and causal aspects, how to make learning work with significantly less data like humans can do, and how to achieve robust systems which provides formal guarantees and interpretability. Traditional model- or knowledge-based methods are designed to deal with many of these issues: They deal effectively with generality, abstraction, and causality with strong formal guarantees. A current trend in AI and machine learning today is therefore how to combine these different approaches in a principled and effective way. This is often called Hybrid AI.
The full focus period spanned October 18 – November 18, 2022.
Spring 2022 – Lund
Data-driven modelling and learning for cancer immunotherapy
Checkpoint inhibitor therapy is a form of cancer treatment that works tremendously well in approximately 30 % of subjects, while being largely ineffective in others. Understanding when and why the therapy works has large implications on the treatment of cancer. In spring 2022, the first ELLIIT focus period will look deeper into this challenge.
For 5 weeks, in the prestigious university town Lund, the focus period united young international scholars, ELLIIT researchers and other top international academics active in domains such as:
- Systems biology
- Cancer treatment
- Checkpoint inhibitor therapy
- Machine learning
- Dynamical systems
- Deep learning
During this period, the researchers worked together on jointly defined research topics. In addition to seminars and joint research challenges using unique data sets, a larger workshop with invited top-level scientists provided knowledge exchange and networking opportunities. The aim of the focus period was to forge new, long lasting, collaborations based on life science research that use and drive the development of novel machine learning techniques.
The full focus period spaned April 19 – May 20, 2022.
