The “DEEP LEARNING: Theory, Algorithms, and Applications” workshop series invites leading international scientists within the field to share recent and ongoing work as well as visions for the future.
Visual Intelligence’s advances in fundamental and applied deep learning research is gaining widespread attention and visibility.
Visual Intelligence’s advances in fundamental and applied deep learning research is gaining widespread attention and visibility.
In the summer of 2023, Visual Intelligence research was presented in two of the top venues within the field.
At the 2023 IEEE International Conference on Speech, Acoustics and Signal Processing (ICASSP), Visual Intelligence director Robert Jenssen gave a 3 hour tutorial on “Information Theory meets Deep Learning”. He gave the tutorial together with Professor Jose Principe, University of Florida, and Associate Professor Shujian Yu, Vriie Universiteit Amsterdam and UiT The Arctic University of Norway.
Director Jenssen also gave one of the invited keynote talks of the workshop “DEEP LEARNING: Theory, Algorithms and Applications” organized in Trento, Italy, June 21-23, 2023. The workshop was organized by Pierre Baldi, University of California, Irvine, USA, Tomaso Poggio, MIT, Boston, USA, Marc'Aurelio Ranzato, DeepMind, London, UK, Alessandro Sperduti, University of Padova, Italy, and Paolo Traverso, Fondazione Bruno Kessler, Trento, Italy.
Jenssen’s talk was entitled “On representation learning with information theoretic criteria and a new method for representation learning interpretability”. The main emphasis was on Visual Intelligence’s recently published method for interpreting features in input images to so-called representation learning systems. The new method, named “Relax” was published in the International Journal of Computer Vision in 2023 as a first of its kind, and has already gained attention and follow-up work from researchers in the wider deep learning community.
Of all the tutorials at ICASSP 2023, this tutorial had the highest number of attendees. The tutorial was composed of three parts. In part I, Principe laid out the fundamentals of statistical properties of information extraction focusing in particular on measures of entropy, divergence, and mutual information. In part II, Yu explained new information theoretic learning criteria developed by the team of presenters in the recent years. Finally, in part II, Jenssen showed examples of deep learning tasks, such as e.g. multi-view clustering, where the information theoretic approach to learning has been pursued.
Director Jenssen also gave one of the invited keynote talks of the workshop “DEEP LEARNING: Theory, Algorithms and Applications” organized in Trento, Italy, June 21-23, 2023. The workshop was organized by Pierre Baldi, University of California, Irvine, USA, Tomaso Poggio, MIT, Boston, USA, Marc'Aurelio Ranzato, DeepMind, London, UK, Alessandro Sperduti, University of Padova, Italy, and Paolo Traverso, Fondazione Bruno Kessler, Trento, Italy.
Jenssen’s talk was entitled “On representation learning with information theoretic criteria and a new method for representation learning interpretability”. The main emphasis was on Visual Intelligence’s recently published method for interpreting features in input images to so-called representation learning systems. The new method, named “Relax” was published in the International Journal of Computer Vision in 2023 as a first of its kind, and has already gained attention and follow-up work from researchers in the wider deep learning community.
Visual Intelligence co-organized and attended the "Foundations of Arctic AI and Generative Forecasting" workshop:
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)
Principal Investigator Kristoffer Wickstrøm was interviewed by Norsk rikskringkasting (NRK) about the Artificial Intelligence Day at UiT- The Arctic University of Norway.
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En ny, åpent tilgjengelig KI-modell kan endre hvordan geologer tolker seismikk. Den norske grunnmodellen lover raskere analyser, lavere terskel for innovasjon og nye måter å forstå undergrunnen på.
Centre Director Robert Jenssen was interviewed by Norsk rikskringkasting (NRK) about AI in fisheries and this year's UArctic (University of the Arctic) Congress on the Faroe Islands.
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Professor and AI expert Robert Jenssen is attending the Japan-Norway AI Innovation Forum and Japan-Norway Research Symposium, two high-level meetings with Norwegian and Japanese government leaders, business actors and researchers.
Visual Intelligence researchers Solveig Thrun and Kristoffer Wickstrøm took their research out of the lab and to Tromsø city centre as part of Pint of Science 2026.
Subsurface Digital Manager and former Visual Intelligence board member Cathrine Tegnander will serve as the elected leader of Visual Intelligence's board.
The Call for Papers and Abstracts for the Northern Lights Deep Learning (NLDL) Conference 2027 is officially announced – with submission deadlines on August 7th and Mid-September 2026 respectively.
The field of Visual Intelligence is continuously transforming. Chief Research Scientist Arnt-Børre Salberg dives deeper into the current trends in the field of visual intelligence as of early 2026.
Generativ kunstig intelligens er imponerende, men ikke alltid så nyttig til å løse industrielle problemer (Norwegian op-ed in digi.no).
Congratulations to Marit Dagny Kristine Jenssen, who successfully defended her PhD thesis at UiT The Arctic University of Norway on April 10th
The NCS model, a seismic foundation model trained on data from the Norwegian data repository for subsurface data, is now available as an open-source model, allowing anyone to download, utilize, and further develop the model.
The Visual Intelligence Annual Report 2025, highlighting the centre's progress, activities, achieved innovations, staff, funding, and publications for 2025, is now available to read on our websites.
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Congratulations to Centre Director Robert Jenssen, who received UiT's Research and Development Award at the university's annual celebration.
Visual Intelligence researchers contributed to the Pioneer Centre for AI workshop on Electronic Health Records research. The aim was to strengthen ties between the two centres on EHR-related research.
Tre av studentene i sivilingeniør i Kunstig Intelligens ved UiT skal delta i NM i KI. Slik gikk det da de ble intervjuet ved hjelp av kunstig intelligens (News article in nordlys.no).