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.
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.
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.
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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.