Department of Machine Intelligence

MIND aims at advancing frontiers of machine learning and data mining by developing novel methodologies and algorithmic solutions for the analysis of high-dimensional data in science and industry.

Machine learning has gained enormous international momentum, and it has been defined as a separate research topic at Simula since 2018. In particular, as a part of the new Simula Metropolitan Center for Digital Engineering, the new Machine Intelligence Department (MIND) was established in 2018.  

MIND aims at advancing frontiers of machine learning and data science by developing novel methodologies and algorithmic solutions for the analysis of complex systems and high-dimensional data in science and industry. Specifically, the research activities represented within MIND span the following areas: statistical learning and regularization theory; data mining with a focus on matrix/tensor factorizations and their applications in various fields including neuroscience, systems biology, social networks and communication networks.

Projects at Department of Machine Intelligence

Publications at Department of Machine Intelligence

2020

Book Chapter

Journal Article

Proceedings, refereed

2019

Journal Article

Proceedings, refereed

Talks, invited