This volume contains full and short papers presented during the 6th Symposium of the Norwegian AI We are excited to be back in Tromsø for the symposium. The NAIS symposium is returning to Tromsø as one of the early meetings - then in collaboration with the Swedish AI Society - took place in Tromsø The symposium is a lunch-to-lunch meeting with keynote talks, technical talks, posters, and networking sessions. We invited researchers and practitioners to join and talk about their AI successes and challenges. We explicitly reached out to Master's and PhD students in Norway to join the symposium and connect with Norway's AI community.
CEUR
ceur-ws.org
The paper outlines methodological challenges in using indirect statistical methods to derive reference limits for nerve conduction studies in Norwegian neurophysiology labs. The resubmission papers presented during the symposium, but not included in the volume, were: • A Layerwise Analysis of Concept Emergence in ViTs
Teresa Dorszewski, Lenka Tetková, Robert Jenssen, Lars Kai Hansen and Kristofer Wickstrøm This paper presents a novel neuron labeling analysis showing that Vision Transformers progressively encode increasingly complex concepts, from basic features in early layers to specific objects in later ones. • Learning and predicting fishing activities from AIS data
Klaus Johannsen, Xue-Cheng Tai, Junyong You and Gro Fonnes The authors use AIS data and Norwegian Catch Reports to accurately classify fishing activity through machine learning, demonstrating high performance in automated marine monitoring. • AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering Jing Wang, Songhe Feng, Kristofer Wickstrøm and Michael C. Kampfmeyer This study introduces AdaptCMVC, a continual multi-view clustering framework that incrementally integrates new views using self-training and structure alignment to handle noise and avoid forgetting.
The program of NAIS 2025 included the following two keynotes: • Elisabeth Wetzer (UiT The Arctic University of Norway): Representation Learning for Multimodal
Image Registration and Retrieval • Steve Marron (University of North Carolina): Data Integration Via Analysis of Subspaces (DIVAS) Additionally, the symposium concluded with a public lecture: • Keith Downing (Norwegian University of Science and Technology): Prediction at the core of both natural and artificial intelligence 2024 NAIS PhD Thesis Award Since 2024, the Norwegian AI Society invites submissions for the annual PhD thesis award. This year, we invited doctoral theses that were defended after December 1, 2023, and until December 31, 2024, in the general area of Artificial Intelligence. We received five submissions this year and the NAIS board awarded the 2024 PhD thesis award to Mina Young Pedersen for her work on Malicious Agents and the Power of Few: On the Logic of Abnormality in Social Networks.
We would like to thank Inger Solheim, Karolina Storesund, and Petter Bjørklund for their help before and during the symposium. Organizing such events would not be possible without support from sponsors. We would like to thank the Norwegian Research Council, the Digital Innovation Hub Nemonoor, and the Norwegian Open AI Lab for their support. Additionally, we would like to thank the SFI Visual Intelligence and UiT The Arctic University of Norway for hosting the symposium as well as the SFI NorwAI for supporting the organization of the event. • Marius Aasan, University of Oslo • Rwiddhi Chakraborty, UiT The Arctic University of Norway • Changkyu Choi, UiT The Arctic University of Norway • Laurence Dierickx, University of Bergen • Fred Godtliebsen, UiT The Arctic University of Norway • Odd Erik Gundersen, Norwegian University of Science and Technology • Nektaria Kaloudi, SINTEF Digital • Michael Kampfmeyer, UiT The Arctic University of Norway • Benjamin Kille, Norwegian University of Science and Technology • Helge Langseth, Norwegian University of Science and Technology • Bjørn Magnus Mathisen, SINTEF Digital • Ole Jakob Mengshoel, Norwegian University of Science and Technology • Andreas Lothe Opdahl, University of Bergen • Adín Ramírez Rivera, University of Oslo • Signe Riemer-Sørensen, SINTEF Digital • Arnt Salberg, Norwegian Computing Center • Xavier Sánchez-Díaz, Norwegian University of Science and Technology • Bjørnar Tessem, University of Bergen • Samia Touileb, University of Bergen • Elisabeth Wetzer, UiT The Arctic University of Norway • Kristofer Wickstrøm, UiT The Arctic University of Norway • Zhirong Yang, Norwegian University of Science and Technology