PhD student Rwiddhi Chakraborty at UiT
Self Supervised Explainability on Graphs
In the past decade, the availability of large-scale datasets allowed the proliferation of deep learning-based architectures in computer vision, language modelling, and graph-based data. The curation and annotation process of these datasets is overly expensive. In recent years, new methodologies emerged to train deep learning models on unlabeled data, so called self-supervision.
To prepare students on these highly relevant topics, we, University of Oslo (UiO) and UiT The Arctic University of Norway (UiT), as part of the SFI Visual Intelligence efforts, joined forces to teach a special curriculum course about bleeding edge topics related to deep learning methods based on self-supervision and non-structured data (that is, based on graphs). Moreover, due to the need to reveal the decisions made by these models, we placed special emphasis on novel techniques used to explain the inner workings of these models.
The course puts an emphasis on letting the student discuss and lead the learning endeavor. The sessions encompassed active discussions among the participants. Professors from UiO and UiT provided useful moderation and insights to the discussions. William Ho, a UiO masters’ student, mentioned, “this [course] has been the most enjoyable course I’ve ever taken [at] IFI,” due to its highly interactive setup. Also, Rwiddhi Chakraborty, from UiT, expressed the usefulness of the curriculum and discussions. Another anonymous student mentions, “[presenting papers to each other] has been fantastic to complete the learning cycle—since we are learning the content and then presenting/teaching it as well.”
The wonderful experience has already led to innovative ideas on improving collaboration between the two sites and will be integrated into future offerings of the course. After seeing the success and enthusiasm from the students, we will explore new ways of providing more joint venues for the students to collaborate between the two sites.
Responsible at UiT: Michael Kampffmeyer
Responsable at UiO: Adín Ramírez Rivera
María Castro Fernández is a PhD Candidate at the Research Institute of Applied Microelectronics at Universidad de Las Palmas de Gran Canaria, in Spain. She visited Visual Intelligence in Tromsø from January to June 2024.
AI tools wield enormous potential within the health sector. How do we ensure that such tools are safely implemented and used within this field? The event will take place on August 14th, 11:45-12:45 at Bankgården, Strandgaten 2-4.
Thea Brüsch is a PhD student at the Section for Cognitive Systems at the Technical University of Denmark (DTU). She visited the UiT Machine Learning Group from January to June 2024.
Visual Intelligence happily welcomes Lars Uebbing, who recently started as a doctoral research fellow at Visual Intelligence in Tromsø.
Det tar for lang tid å analysere bilder for å finne ut om en pasient har kreft i leveren. Nå har forskerne laget et system som gjør jobben mer effektivt (Norwegian news story).
We are happy to announce that a Visual Intelligence paper "The 3-billion fossil question: How to automate classification of microfossils" was featured in the scientific newspaper EurekAlert!
In the episode, Østmo was included in an Abels tårn expert panel to answer different questions about AI and deep learning.
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.
Our sponsorship packages provide a number of benefits, such as registration and networking benefits for company employees, company and brand visibility, and more.
Associate professor and principal investigator Kristoffer Wickstrøm recently talked about a collaborative Visual Intelligence project between UiT and UNN on NRK Radio. The project aims to develop AI algorithms to detect liver cancer on CT images.
We congratulate Tollef Jahren for successfully defending his PhD thesis "Deep learning for detecting valvular events and suppressing reverberations in cardiac ultrasound" for the degree Philosophiae Doctor at Department of Informatics, University of Oslo.
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Noen få tastetrykk er alt som skal til for å finne falske nakenbilder og videoer av norske kjendiser. – Ekstremt bekymringsfullt, sier KI-ekspert
Visual Intelligence congratulates Daniel Johansen Trosten for receiving the Dissertation Award of 2023 from Norwegian Artificial Intelligence Society (NAIS)!
Centre director Robert Jenssen represented Visual Intelligence at the marine conference Blått kompass.
The Visual Intelligence Graduate School (VIGS) recently gathered our Tromsø based researchers at Árdna - The Sami Cultural Center for a social event about exchange stays.
We congratulate professor Michael Kampffmeyer for receiving the "Early career investigator" award at the NORA Annual Awards!
Til tross for gode karakterer, søker svært få jenter seg til studier innen matematikk, naturfag og teknologi. En studie viser at det kan handle om lav selvtillit.
We invite submissions presenting new and original research on all aspects of Deep Learning for the Northern Lights Deep Learning Conference (NLDL) 2025.
I am eager to absorb knowledge from these experts and contribute to our collective understanding, says Filippo Bascetta, who is one of two new VI interns.
Listen to VI co-director Line Eikvil and research director Anders Løland (Norsk Regnesentral) talk about developments before and after the breakthrough of deep learning in the NR podcast, Sannsynligvis VIKTIG (Norwegian dialogue).