Disputation: Mia-Katrin Kvalsund

Mia-Katrin Kvalsund will defend her thesis “The Generalist Module; A neuro-inspired approach to sensorimotor control and intelligence” for the degree of Philosophiae Doctor at the University of Oslo, Faculty of Mathematics and Natural Sciences.

portrait of the candidate

The PhD defence and trial lecture will be streamed. The chair of the defence will moderate the disputation. 

Ex auditorio questions:  the chair of the defence will invite the audience physically present in the auditorium to ask ex auditorio questions.

→ Live streaming of trial lecture and disputation 

→ Request for thesis copy (available until the disputation starts)

Trial lecture

Time and place: October 30, 2026 - 08:00 AM
Lille Fysiske auditorium (V232) - Fysikkbygningen

Title: "Energy efficiency of different neural models"

Main research findings

Can general intelligence be created, not from giant AI models, but from many small units interacting? Our brains may look like single entities, but they are actually intricate hierarchies of interacting parts. From molecules to cells, from cells to organs, small parts interact locally and create complex behavior at the level above. This is called collective intelligence. In this thesis, I look at just such a system in the brain: Repeated cell-structures that process our senses, called cortical columns. I create AI systems inspired by cortical columns, building on the architecture of Neural Cellular Automata (NCAs), which essentially consists of many parallel AI modules working together. When these modules learn together, without assigned roles, they develop a general function: Thus, I dub them generalist modules. In teaching the NCA to do similar tasks to the cortical columns, such as sensing objects, I find that the system learns emergent attention to important parts of the object. I also find that such systems in general are scalable, robust, small, and cost-effective. Finally, I present some analysis of these systems, working towards more explainable AI. The goal is to understand the properties of such repeated brain modules, for greener and more general AI.

Adjudication Committee

  • Professor Gunnar Tufte, Department of Computer Science, Norwegian University of Science and Technology (NTNU); Norway
  • Associate Professor Lana Sinapayen, National Institute for Basic Biology, Sony Computer Science Laboratories Kyoto, Japan
  • Professor Lasse Clausen, Department of Physics, University of Oslo, Norway

Supervisors

  • Associate professor Mikkel Lepperød, Department of Physics, University of Oslo, Norway
  • Assistant Professor Sidney Pontes-Filho, Oslo Metropolitan University, Norway
  • Associate Professor Kai Olav Ellefsen, Department of Informatics, University of Oslo, Norway
  • Professor Kyrre Harald Glette, Department of Informatics, University of Oslo, Norway
  • Professor Anders Malthe-Sørenssen, Department of Physics, University of Oslo, Norway

Chair of defence

Head of Department Susanne Friederike Viefers, Department of Physics, University of Oslo, Norway

 

Candidate contact information

LinkedIn: Mia-Katrin Kvalsund 


E-mail: mia.kvalsund@gmail.com

 

 

Contact information to Department: Line Trosterud Resvold

 

Published Oct. 16, 2026 3:17 PM - Last modified Oct. 22, 2026 10:00 AM