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.
Alba Ordoñez and Anders U. Waldeland presented ongoing work on seismic foundation models and an interactive seismic interpretation engine at EAGE Annual 2025 in Toulouse, France.
Østmo was invited to Abels tårn—one of the largest popular science radio shows in Norway—to answer listener-submitted questions related to artificial Intelligence (AI). The live show took place at Blårock Cafe in Tromsø, Norway on June 12th.
VI industry partner Kongsberg Satellite Services (KSAT) received an Industrial PhD grant from the Research Council of Norway. The project will be closely connected to Visual Intelligence's "Earth observation" innovation area.
Visual Intelligence Researchers Amund Vedal and Arnt Børre Salberg recently presented ongoing Visual Intelligence research at a plankton-themed workshop organized by the Institute of Marine Research (IMR), Norway
We happily welcome Dennis Adamek, who recently started as a Doctoral Research Fellow at Visual Intelligence in Tromsø in April 2025.
Congratulations to Professor Lars Ailo for receiving the NORA Award for Diversity in AI at the NORA Annual Conference in Halden, Norway.
Teresa Dorszewski is a PhD Candidate at the Section for Cognitive Systems at the Technical University of Denmark. She visited Visual Intelligence in Tromsø from January to April 2025.
Centre Director Robert Jenssen was invited to give a keynote and participate in a panel discussion on AI as critical national infrastructure at the NORA Annual Conference 2025 in Halden, Norway.
Både forskere og statsråd mener kunstig intelligens bør tydelig merkes. Men forlaget som lager puslespillet som ekspertene mener er KI-generert, sier de ikke har noe med hvordan illustratører lager produktene sine (Norwegian news article by NRK)
Researchers have developed an artificial intelligence to map specific immune cells in lung cancer tumors. It can lead to less costly examinations and more personalised cancer treatment (English news story on sciencenorway.no).
The Department of Physics and Technology at UiT The Arctic University of Norway is pleased to announce 4 exciting PhD Fellowships within machine learning at SFI Visual Intelligence. Application deadline: June 17th.
.jpg)
Norsk forskning har utviklet kunstig intelligens som raskt kan analysere lungekreft. Ekspertene forklarer hvordan dette kan bidra til en mer effektiv og persontilpasset behandling (Norwegian news article in vg.no)
We invite submissions presenting new and original research on all aspects of Deep Learning for the Northern Lights Deep Learning (NLDL) Conference 2026.
Partiet Sentrum er blant dem som tar grepet. – Ganske smart, mener valgforsker (Norwegian news article in TV2.no)
Visual Intelligence will be well presented at ICML 2025—one of the leading international academic conference in machine learning—with four newly accepted research papers.
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).
.jpg)
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)