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 og norske forskningssentre innen kunstig intelligens er klare til å bidra til regjeringens ambisiøse milliardsatsning på KI for å utvikle trygg, pålitelig, og effektiv kunstig intelligens som vil gagne samfunnet, innovasjonen og utdanningen.
Maskinlæringsgruppa ved UiT skal i gang med å lage en permanent utstilling om kunstig intelligens. Målet er å rekruttere fremtidens forskere innen faget.
Daniel Johansen Trosten defended his PhD thesis “Improving Representation Learning for Deep Clustering and Few-shot Learning” on August 23rd 2023 at UiT The Arctic University of Norway.
Visual Intelligence researcher Kristoffer Wickstrøm was invited to give lectures at the Technical University of Denmark's summer school on self-supervised learning.
Ledig stilling som kommunikasjonsrådgiver i forskningsruppe for maskinlæring. Vi søker engasjert formidler som kan øke vår synlighet ved å formidle vår forskning til et bredt publikum.
Visual Intelligence-lead course on self-supervised learning as part of the NORA summer school 2023
The Tromsø AI Meetup 2023 brought together AI enthusiasts at Storgata Camping to connect, learn from notable speakers, and explore the exciting developments in AI, fostering a community passionate about responsible innovation in the field.
Changkyu Choi defended his PhD thesis “Advancing Deep Learning for Marine Environment Monitoring” on June 9th 2023 at UiT The Arctic University of Norway.
Visual Intelligence contributed to the Norwegian Parliament’s AI seminar organized by the Health and Care Services Committee
The University Hospital of North Norway, partner in Visual Intelligence, in the media: "AI is the path forward". Read the full story (in Norwegian).
Fjernstyrte undervannsroboter er et viktig verktøy i kartlegging, utforskning og overvåkning av verdens havområder. I slutten av april fikk 22 elever fra videregående skoler i Troms og Finnmark designe, bygge og anvende fjernstyrte undervannsroboter.
A pitch day was organized at UiT for to connect students with companies for external master’s projects and job opportunities in computer science and machine learning.
Master thesis on automation in the fish processing industry using machine learning by Josten Henriksen.
Prof. Pierre Baldi visited Visual Intelligence in Tromsø, February 16-17, 2023. The two days were filled with fruitful meetings on potential scientific collaboration between UCI and Visual Intelligence.
Machine learning phd students from Visual Intelligence present at UiT The Arctic University of Norway's open day 2023, for recruitment of new students.
VIGS is Visual Intelligence's social and scientific initiative for phd students, postdocs and early career researchers! May 3-5 VIGS will organize a joint trip to UiT's field station in Indre Troms. Sign up and read more about the social and scientific program in out event!
The Northern Lights Deep Learning Conference, Tromsø, January 9th to 13th, was a great gathering of 250 deep learning researchers.
Stine Hansen defended her PhD thesis “Leveraging Supervoxels for Medical Image Volume Segmentation With Limited Supervision” on Dec. 16th at UiT The Arctic University of Norway.
7-8 November VIGS organized a successful gathering for early career researchers in Tromsø. The program was filled with both a social and technical program and gathered around 20 researchers from the research partners in Visual Intelligence.
We had the great pleasure of hosting Lars Kai Hansen, Technical University of Denmark, and Irina Voiculescu, University of Oxford, at the Visual Intelligence centre in Tromsø.