UiO students Frida Marie Engøy Westby (2nd from left) and Guri Marie Svenberg during a poster session alongside supervisor and associate professor Ali Ramezani-Kebrya. The pictured poster includes findings from UiO student Karen Stølan Nielsen’s summer project on stress recognition with machine learning.
Our summer students have worked on projects related to fatigue and stress recognition with machine learning as their first research experience. Their results were presented at Georg Sverdrups hus at University of Oslo on October 16th 2024.
Our summer students have worked on projects related to fatigue and stress recognition with machine learning as their first research experience. Their results were presented at Georg Sverdrups hus at University of Oslo on October 16th 2024.
By Petter Bjørklund, Communication Advisor at SFI Visual Intelligence
- Stress is a reaction where your brain releases certain hormones in your body. This can lead to health problems both psychologically and physiologically, says student Karen Stølan Nielsen.
She is one of 50 UiO students who received funding from UiO:Life Science to conduct summer research projects between April and September 2024. She has developed AI models to characterize different aspects related to stress.
- In this project, we trained models to define what stress is, to assess different types of stress, and categorize different intensities of stress, Nielsen explains.
The aim of the projects was for students to perform research addressing health and disease, environmental issues or other topics related life science.
In addition to Nielsen, UiO student Guri Marie Svenberg developed AI algorithms for recognizing fatigue as part of a separate summer project.
- This was done by using EEG data that is shown to be sensitive to the fluctuations in vigilance that occur after sustained mental work, Svenberg explains.
Both Nielsen and Svenberg were supervised by associate professor Ali Ramezani-Kebrya (UiO). Their research was presented at Georg Sverdrups hus at University of Oslo on October 16th.
Ramenzani-Kebrya describes the significance of their work.
- Guri and Karen did a fantastic job in only two months with their first-ever research projects. Their results are very promising for follow-up research in the domain of emotion recognition with machine learning, says Ramezani-Kebrya.
- The research is useful for mission critical sectors such as hospitals, airlines, and infrastructure facilities to automatically identify critical events of employees’ fatigue and stress, he adds.
After four years of operation, an international AI expert panel was appointed to assess Visual Intelligence's progress and results. The evaluation was characterized by its excellent remarks on the centre's scientific quality and innovation output.
Senior Researcher Fredrik Dahl recently gave a talk about Norsk Regnesentral's work on developing AI algorithms for automatic analysis of image quality and cancer detection at Norsk Radiografforbund's mammography symposium in Oslo.
Han høster anerkjennelse for sitt forskningsarbeid innen utvikling av mer effektive KI-modeller (Norwegian news article in Nordlys).
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Congratulations to associate professor Ali Ramezani-Kebrya for receiving a prestigious FRIPRO grant from the Research Council of Norway!
KI har en tendens til å behandle menn og kvinner ulikt. Ekspert mener teknologien reproduserer gamle fordommer (Norwegian news story in NRK.no)
To UiT-forskere ser store etiske og juridiske problemer ved bruk av kunstig intelligens i kommunal saksbehandling (Norwegian news story in Nordlys.no).
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.