Visual Intelligence organized a special curricular course on Generative AI at UiT The Arctic University of Norway this spring. The course covered Large Language Models, Generative AI for images, and Generative AI for audio.
Associate professor Benjamin Ricaud organized a new special curricular course on Generative AI at UiT The Arctic University of Norway this spring semester. The course covered Large Language Models, Generative AI for images, and Generative AI for audio.
Generative AI is a cutting-edge technology that uses machine learning algorithms to create or generate data, content, or information autonomously. It can produce text, images, music, and even other types of media by learning from existing examples and then generating new, often highly realistic, and contextually relevant content.
- Generative AI has a wide range of applications, from natural language processing and image synthesis to creative content generation and data augmentation, revolutionizing various industries and offering innovative solutions in fields such as art, entertainment, healthcare, and more, says Ricaud.
- Most companies that visit UiT to pitch ideas for master projects typically lean towards generative AI. The course is thus extremely valuable and relevant in the industry sector, as well as academia and research, Ricaud adds.
The goal of the course was to give students a hands-on experience with these new technologies. The students practiced with new open-source tools for generative AI. At the end of the course, the students will understand the concepts behind generative AI and be able to program and interact with their own generative models.
- The course also emphasized creating different AI tools, which could lead to possible startup ideas, Ricaud adds.
The evaluation was based on a 3-weeks project at the end of the course. The students got to run a practical experiment in which they performed and analyzed one or more methods discussed in the course. The students delivered a report about it, including its code.
Around 20 UiT students signed up for the new course, which is a significant amount compared to regular courses at the master's level.
Visual Intelligence assisted by funding one of the course teachers Erland Grimstrad, a previous UiT student working at the startup Abdera.ai.
Registration for the Northern Lights Deep Learning Conference 2026 is officially open. Early bird fees are available before December 1st 2025.
Det skal eksperter på kunstig intelligens, cybersikkerhet og juss fra UiT Norges arktiske universitet diskutere på Verdensteatret Kino den 17. september. Arrangementet er gratis og åpen for alle (Norwegian news article at uit.no)
The presentations from the Visual Intelligence Workshop on Foundation Models are now available on the Visual Intelligence YouTube channel.
Congratulations to Nikita Shvetsov for successfully defending his PhD thesis and achieving the PhD degree in Science at UiT The Arctic University of Norway on August 27th 2025.
Det sa digitaliseringsminister Karianne Tung (Ap) da hun besøkte UiT Norges arktiske universitet i Tromsø for å lære mer om utdanning og toppforskning på kunstig intelligens ved universitetet (Norwegian news article at uit.no)
A new study shows how deep learning can achieve human-level performance in estimating uncertainty when classifying foraminifera (News story at EurekAlert.org)
Congratulations to Iver Martinsen and Durgesh Kumar Singh, who successfully defended their PhD theses at UiT The Arctic University of Norway on August 20th and 21st respectively.
Visual Intelligence brought together academia, industry, the institute sector, the Research Council of Norway, and Norwegian politics to discuss why and how Norwegian academia and industry should collaborate more closely to develop innovative artificial intelligence.
João Campagnolo is a PhD Candidate in the Neuroscience Department of the University of Copenhagen (KU). He visited SFI Visual Intelligence in Tromsø from April to May 2025.
Students from EUGLOH partner institutions can now apply for an exclusive mobility scholarship worth 2 900 EUR for the NLDL 2026 Winter School. Application deadline October 3rd 2025
Visual Intelligence will be well represented at MICCAI 2025—one of the leading AI conferences on medical imaging and computer assisted intervention—with three recently accepted research papers.
More than 50 attendees from the Norwegian AI research community gathered in Tromsø, Norway for two days of insightful presentations, interactive technical sessions, and scientific and social interactions.
Last week, we wished Aasland—accompanied by Political Advisor Munir Jaber and Senior Adviser Finn-Hugo Markussen—welcome to the Norwegian Computing Center (NR). One of the visit's goals was to showcase ongoing Visual Intelligence projects at NR.
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.