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 since 2018 at Simula. In particular, as a part of the new Simula Metropolitan Center for Digital Engineering, a new Machine Intelligence Department (MIND) was established in 2018.  

MIND aims at advancing frontiers of machine learning and data mining 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 three general areas: statistical learning and regularization theory; data mining with focus on matrix and tensor factorization; and deep learning applications.  In addition, MIND contributes to the areas of system research related to machine learning, like security, performance, model compression.

People at Department of Machine Intelligence

Who we are?

Simula Metropolitan employees are researchers, postdoctoral fellows, PhD students, engineers and administrative people. We are from all over the world, ranging from newly educated to experienced researchers, all working on making research in digital engineering at the highest international level possible.

Projects at Department of Machine Intelligence

Publications at Department of Machine Intelligence