Elphidium – an abundant genus of foraminifera
A new study shows how deep learning can achieve human-level performance in estimating uncertainty when classifying foraminifera (News story at EurekAlert.org)
A new study shows how deep learning can achieve human-level performance in estimating uncertainty when classifying foraminifera (News story at EurekAlert.org)
By Petter Bjørklund, Communications Officer at SFI Visual Intelligence
Foraminifera (forams) are shelled microorganisms that are abundant in the Earth’s seabed. Analyzing different species of forams provides important information about climate change, the state of the marine environment, and suitable areas for carbon capture and storage.
Past research has attempted to automate these classification tasks—a usually laborious and time-consuming manual process—with deep learning (DL) methods. Several studies show significant promise, but few have focused on the uncertainty of the methods’ classifications.
“Uncertainty estimation is crucial to avoid misclassifications that could overlook rare and ecologically significant species. It is important to develop DL methods which accurately calculate how uncertain their predictions are”, says Iver Martinsen, PhD Candidate at UiT The Arctic University of Norway and SFI Visual Intelligence (VI).
In a recently published study, Martinsen and researchers at UiT, VI, Nofima, and NSE show how deep learning can achieve human-level performance in estimating uncertainty when classifying forams. Using 260 images of forams and sediment grains, the researchers trained the DL methods to detect and classify these microscopic organisms.
Read more about the study at EurekAlert.org
We congratulate PhD Fellow Suaiba Salahuddin, who will start as new Head Engineer at the Climate-Ecological Observatory for Arctic Tundra (COAT)
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Researchers at Visual Intelligence have developed AI to predict the risk of getting breast cancer within one to five years. It can help detect more cases of breast cancer earlier.
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)