ELLIIT Symposium Halmstad University 2026

Theme: Robust AI for Science and Industry

In the third week of the ELLIIT focus period, there will be a 3-day symposium, with several invited top-level researchers.

Artificial Intelligence (AI) has been a hot topic for a few years, but it is more than just a buzzword. From an industrial and societal perspective, it is a promising technology, and in the last decade, we have seen the initial idea of data-driven science using AI becoming a reality. The question is, what makes AI methods robust enough to be able to serve as new scientific instruments for researchers as well as applicable in sensitive and demanding areas of industry?

The objective of this symposium is to approach this challenging question from several directions.

First, together with AI researchers, we will focus on the recent advances in relevant areas of AI, including model-based and physics-guided AI, self-supervised machine learning, cross-domain AI and transfer learning, data augmentation, information extraction and knowledge modelling supporting explainability, robust representation learning, adversarial robustness of AI tools, as well as replicability and scalability of AI-based computational experiments. Second, we will invite scientists from beyond the field of AI to discuss their perspectives on the use of AI methods in fundamental research within their fields. Third, we will consider the use of applied AI research in demanding and sensitive areas to understand what makes AI-based tools robust enough to be utilized in engineering and industrial practice.