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
Centre director Robert Jenssen recently gave a talk about the use and benefits of AI technologies during Pasientsikkerhetskonferansen 2024
Congratulations to Kristoffer Wickstrøm for receiving the Best Paper Award 2024 from the journal Pattern Recognition Letters!
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Professor Michael Kampffmeyer gave a presentation titled "Kunstig intelligens som forklarer hva den tenker" as part of a Norwegian Centre for E-Health Research Webinar (Norwegian dialogue).
I teorien ja, men i praksis fungerer det ikke slik.
EUGLOH students from partner institutions under the EUGLOH alliance can now apply for an exclusive mobility scholarship for the NLDL 2025 Winter School which covers travel, accommodation, and sustenance for successful applicants.
Visual Intelligence researchers represented the centre during Inspirasjonsdagen 2024. The event aimed to stimulate high school students' interest and curiosity for STEM and healthcare-related study programmes at UiT The Arctic University of Norway.
Our summer students have worked on projects related to fatigue and stress recognition with machine learning as their first research experience. Their results were presented at Georg Sverdrups hus at University of Oslo on October 16th 2024.
PhD candidate Rwiddhi Chakraborty recently gave an invited research talk titled "Perspectives on Multimodal Reasoning" at the Pioneer Centre for AI at University of Copenhagen.
Visual Intelligence was represented at Frampeik 2024 by associate professor Elisabeth Wetzer. The event gathered student researchers at Verdensteatret in Tromsø for discussions around AI-related topics.
Registration for the Northern Lights Deep Learning Conference 2025 is now open. The general deadline for registration is January 1st 2025.
We happily welcome Jan Zavadil, who recently started as a doctoral research fellow at Visual Intelligence in Tromsø in September 2024.
Visual Intelligence researchers participated in various dissemination activities throughout Forskningsdagene 2024. The activities aimed to disseminate general knowledge about deep learning and Visual Intelligence's research activities to the general public.
93 people from across the Visual Intelligence (VI) consortium gathered at Quality Airport Hotel Gardermoen for Visual Intelligence Days 2024, 24th to 25th of September.
Congratulations to Ghadi Al Hajj for successfully defending his PhD thesis and achieving the degree of Philosophiae Doctor at the University of Oslo on September 16th 2024!
Kommende søndag er det åpen dag på Nordnorsk vitensenter. Der lanseres vitensenteret siste nyvinning, en interaktiv utstilling basert på kunstig intelligens (KI).
Durgesh Kumar Singh is a PhD candidate at Visual Intelligence (VI) in Tromsø. He visited the University of Oslo and GE Vingmed Ultrasound from May to June 2024.
Maskinlæringsgruppen på UiT og SFI Visual Intelligence har arbeidet med å lage en utstilling som skal øke barns interesse, nysgjerrighet, og forståelse for kunstig intelligens. Nå vil den være utstillingsklar under et åpent familiearrangement på Nordnorsk vitensenter 22 september
Forskere har trent opp kunstig intelligens til å finne og kategorisere mikrofossiler. De tror arbeidet kan bli til stor nytte for geologer verden over (Norwegian news story at forskning.no).
Associate professor Kristoffer Wickstrøm represented Visual Intelligence at Nordnorsk ingeniørkonferanse 2024.
We happily welcome Christian Salomonsen, who recently started as a doctoral research fellow at Visual Intelligence in Tromsø.