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 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.