The project aims to develop a screening method driven by artificial intelligence to address the need for early and accurate diagnosis and prediction of people affected by MCI. AI-Mind is financed by European Union’s  Horizon 2020 research and innovation and lead by Oslo University Hospital.


Nordic Centre for Sustainable and Trustworthy Artificial Intelligence Research (NordSTAR) is a high-quality academic environment in modern Artificial Intelligence (AI). The centre aims to establish a new paradigm in AI basic research, so-called sustainable and trustworthy AI.


A long-term time horizon project seeking radical breakthroughs toward efficient and powerful data analysis available everywhere, from the simplest sensor node to the most complex supercomputer.


FELT engages in the interrelations and intersections that occur between human beings, living environments and machines (robots and artificial intelligence), relations on the edge of how we experience aliveness today. We aim at merging artistic strategies from bioart and techno-ecologies with contemporary perspectives on sensory experience and materiality in artistic production and research.

Green Revisited

The project’s main objective is to develop a European platform to shape and popularize an emerging “naturecultures” paradigm via the arts, as well as to strengthen an international network committed to enhancing criticality by investigating the pervasive greenness trope.


Hybrid Deep Learning Cellular Automata Reservoir (DeepCA) is a long-term time horizon project seeking the integration of biological and artificial intelligence. The ambitious research goal of the DeepCA project is to create a theoretical and experimental foundation for a novel hybrid deep learning paradigm based on cellular automata and biological neural networks.