PhD student Rwiddhi Chakraborty at UiT
Self Supervised Explainability on Graphs
In the past decade, the availability of large-scale datasets allowed the proliferation of deep learning-based architectures in computer vision, language modelling, and graph-based data. The curation and annotation process of these datasets is overly expensive. In recent years, new methodologies emerged to train deep learning models on unlabeled data, so called self-supervision.
To prepare students on these highly relevant topics, we, University of Oslo (UiO) and UiT The Arctic University of Norway (UiT), as part of the SFI Visual Intelligence efforts, joined forces to teach a special curriculum course about bleeding edge topics related to deep learning methods based on self-supervision and non-structured data (that is, based on graphs). Moreover, due to the need to reveal the decisions made by these models, we placed special emphasis on novel techniques used to explain the inner workings of these models.
The course puts an emphasis on letting the student discuss and lead the learning endeavor. The sessions encompassed active discussions among the participants. Professors from UiO and UiT provided useful moderation and insights to the discussions. William Ho, a UiO masters’ student, mentioned, “this [course] has been the most enjoyable course I’ve ever taken [at] IFI,” due to its highly interactive setup. Also, Rwiddhi Chakraborty, from UiT, expressed the usefulness of the curriculum and discussions. Another anonymous student mentions, “[presenting papers to each other] has been fantastic to complete the learning cycle—since we are learning the content and then presenting/teaching it as well.”
The wonderful experience has already led to innovative ideas on improving collaboration between the two sites and will be integrated into future offerings of the course. After seeing the success and enthusiasm from the students, we will explore new ways of providing more joint venues for the students to collaborate between the two sites.
Responsible at UiT: Michael Kampffmeyer
Responsable at UiO: Adín Ramírez Rivera
Visual Intelligence researchers contributed with various activities during Forskningsdagene 2026: Norway's annual research festival.
100 researchers, user partners and invited guests gathered in Oslo, Norway for the Visual Intelligence Days: the centre's annual conference for sharing knowledge and updates on the latest research and innovations.
Why should we think twice before using AI as a therapist, romantic partner, or to help out with homework? AI expert Elisabeth Wetzer explains (Popular science article on sciencenorway.no / forskning.no).
Associate Professor Kristoffer Wickstrøm was interviewed by Norsk rikskringkasting (NRK) about the ongoing debate on whether to halt current and future AI development
Representatives from the Research Council of Norway came to Visual Intelligence's hub in Tromsø for a site visit meeting.
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Harald Lykke Joakimsen, a PhD Candidate at Visual Intelligence's hub in Tromsø, will compete in Forsker Grand Prix: Norway's national popular science competition.
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Congratulations to Centre Director Robert Jenssen, who was appointed as a new fellow of the International Associaton for Pattern Recognition (IAPR).
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Why should we think twice before using AI as a therapist, romantic partner, or to help with homework? AI expert Elisabeth Wetzer explains.
Athinoulla Konstantinou is a PhD student at the University of Aberdeen. She visited Visual Intelligence's hub in Tromsø to work with equivariant modelling.
Visual Intelligence gathered experts from Norwegian politics, research council, industry, the public sector, and academia to discuss the value of Norwegian AI competence and Norwegian-developed models.
Visual Intelligence researchers are attending two AI-oriented events at Arendalsuka 2026: Norway's largest annual political festival.
Visual Intelligence hosted over 45 international AI researchers for the DL2026 workshop at UiT The Arctic University of Norway.
Visual Intelligence will be well represented at MICCAI 2026, one of the leading AI conferences on medical imaging and computer assisted intervention, with two accepted research papers.
Visual Intelligence co-organized and attended the "Foundations of Arctic AI and Generative Forecasting": an inaugural workshop in the P1 Arctic AI program.
PhD Candidates Solveig Thrun and Christian Salomonsen attended the Datacloud Global Congress' Talent in Tech programme, which invited emerging talent to a unique programme designed to inspire, educate, and connect young professionals with senior leaders from global tech giants.
We warmly welcome Georgios Leontidis as a new Professor at SFI Visual Intelligence's hub at UiT The Arctic University of Norway.
Centre Director Robert Jenssen was interviewed by Norsk rikskringkasting (NRK) about the Japan-Norway AI Innovation Forum in Tokyo, Japan.
En ny AI-løsning utviklet ved UiT kan gjøre det enklere å avdekke feilrapportering og ulovlig fiske. Nå skal Norges Råfisklag teste teknologien i praktisk bruk (News article on kystogfjord.no)
Principal Investigator Kristoffer Wickstrøm was interviewed by Norsk rikskringkasting (NRK) about the Artificial Intelligence Day at UiT- The Arctic University of Norway.
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En ny, åpent tilgjengelig KI-modell kan endre hvordan geologer tolker seismikk. Den norske grunnmodellen lover raskere analyser, lavere terskel for innovasjon og nye måter å forstå undergrunnen på.