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
Michael Kampffmeyer is one of UiT's youngest professors and has already distinguished himself through his contributions to AI research. He has now won UiT's award for young researchers at the university's annual celebration.
The fifth Visual Intelligence annual report, showcasing the centre's activities, results, staff, funding and publications for 2024, is now available on our web pages.
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I juni møtes det norske KI-miljøet i Tromsø for å presentere ny forskning og diskutere nye retninger innen feltet. KI-forskere inviteres til å delta og vise fram forskningen sin under konferansen.
Visual Intelligence and the Digital Innovation Lab invited industry professionals to present ideas for master's projects to computer science and machine learning students at UiT The Arctic University of Norway.
Kunstig intelligens (KI) endrer måten vi løser komplekse problemer på. Ved UiT Norges arktiske universitet leder professor Robert Jenssen Visual Intelligence, et senter for forskningsdrevet innovasjon som utvikler neste generasjons KI-metoder.
Visual Intelligence researchers had the great pleasure of talking to high school students about the AI study programme at UiT The Arctic University of Norway during the UiT Open Day.
Director Robert Jenssen represented Visual Intelligence at the CuttingEdgeAI seminar "KI anno 2023: I offentlighetens interesse?" at the University of Bergen on March 7th.
Det hender at kunstig intelligens behandler menn og kvinner ulikt. Hvordan skjer dette? KI-forsker Elisabeth Wetzer forklarer hva som ligger bak skjevhetene i teknologien (Popular science story in forskning.no and sciencenorway.no)
Congratulations to Visual Intelligence board member Viktoria Gulliksen Stray for being featured in Abelia and ODA-Nettverk's list of Top 50 Influential Tech Women in Norway 2025!
Norwegian Minister of Research and Higher Education, Sigrun Aasland (Ap) got to hear about Visual Intelligence's work toward developing the next generation of deep learning methodology at a visit to UiT in Tromsø
Hva er lov og hva er ikke lov? Det er blant spørsmålene studentene stiller seg. (NRK.no story featuring director Robert Jenssen)
We had the pleasure of talking to students about the exciting career opportunities at Visual Intelligence and UiT The Arctic University of Norway during TEKdagen 2025
Last week, we welcomed students from Breivang upper secondary school to a full-day practical session on AI and programming at UiT The Arctic University of Norway
We happily welcome Solveig Thrun, who recently started as a doctoral research fellow at Visual Intelligence in Tromsø in January 2025.
Visual Intelligence and UiT researchers organized a special curricular course on collaborative coding and reproducible research at UiT The Arctic University of Norway.
Andrew McDonald, a PhD student from University of Cambridge and the British Antarctic Survey, presented his work on sea ice forecasting with diffusion models, as well as the downstream applications of those forecasts, at Visual Intelligence in Tromsø.
Deep learning researchers from 27 different countries congregated at the 8th edition of the NLDL conference. - I have seen several interesting posters and talks that have opened my mind about different paths to explore in my own research, says NLDL 2025 attendee Tiago Ramos.
NRK, the national broadcasting company in Norway, spoke to Visual Intelligence researchers Robert Jenssen, Suaiba Amina Salahuddin, Michael Kampffmeyer and Elisabeth Wetzer about this year's Northern Lights Deep Learning Conference in Tromsø, Norway.
Andre uka i januar samles forskere fra hele verden i Tromsø for å dele og lære om siste nytt innen forskning på kunstig intelligens.
In record time, principal investigator Michael Kampffmeyer became a professor in machine learning at the young age of 32. Read more about his academic journey and work in the latest UiT Researcher Portrait