Figure from the paper.
Image:
Authors

Figure from the paper.

New paper published in Machine Learning (2021)

Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld and Robert Jenssen have published their paper Joint optimization of an autoencoder for clustering and embedding in journal Machine Learning (2021).

Latest news

Pitch-day for ideas for master’s projects for the computer science and machine learning students at UiT

April 19, 2022

We invited companies, the public sector, and other organizations to present their ideas for master’s projects and to connect with students having an interest and background in computer science and machine learning.

Talk about Ethics in AI at the Aim North 2022 conference

April 6, 2022

Director Robert Jenssen gave a talk about explainable AI connected to the overarching theme of the Aim North conference, namely Ethics in AI. The talk outlined e.g. VI's recent results on detecting artifacts in medical images by our "Prototypical Relevance Propagation" method.

Talk by VI's Director Robert Jenssen at the opening of the Pioneer AI Centre

March 29, 2022

The Pioneer AI Centre is Denmark's flagship centre on AI, headed by prof. Serge Belongie, University of Copenhagen/KU. The official opening of the centre took place March 28 2022 at the "Black Diamond" in Copenhagen city centre.

Transforming ocean surveying by the power of DL and statistical methods

March 28, 2022

New project associated with Visual Intelligence on reduce bottlenecks related to uncertainty estimates in classification by a combined statistical and machine learning approach. The project is on recognition of specific objects at and within the seabed from several image types.

Visual Intelligence is a central partner in NORA research school - a new national PhD School

March 25, 2022

The Visual Intelligence Graduate School (VIGS) will be an important component in the NORA research school and Visual Intelligence's Northern Lights Deep Learning (NLDL) conference will be a venue for winter school activities within this nation-wide initiative.

SFI Visual Intelligence guest talk by Cristina Soguero-Ruiz

March 22, 2022

Associate Professor Cristina Soguero-Ruiz visited Tromsø and gave a very interesting talk on March 17th 2022 on how to exploit AI and machine learning for medical image analysis and healthcare applications.

New associated project on offshore wind energy

February 25, 2022

Through the ongoing Akademia Avtale fund between Equinor and UiT. The goal is to develop new innovative approaches for combining image data and other sources of information in the context of wind energy.

Program for Visual Intelligence Days 2021

October 15, 2021

The "Visual Intelligence days" is coming up shortly, and VI-collaborators will gather in Oslo to connect and share knowledge. Phd-students and early career researchers will also gather one day in advance to socialize. Please see the updated program.

How is AI affecting democratic processes?

October 4, 2021

Director Robert Jenssen gave a talk and participated in a panel debate organized by the Norwegian Academy of Science and Letters on the topic “How is AI affecting democratic processes?“.

Machine learning talk at University of Bristol Summer school

September 8, 2021

Director of Visual Intelligence Robert Jenssen gave a talk at the BIAS Summer school at University of Bristol. The talk describes how deep learning is leveraged in computer vision in an industrial innovation project for monitoring power lines in Norway.

Paper published in International Journal of Remote Sensing

June 28, 2021

Qinghui Liu, Michael Kampffmeyer, Robert Jenssen and Arnt-Børre Salberg have published their paper Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images in International Journal of Remote Sensing.

Visual Intelligence i Digitalisering juni 2021

June 24, 2021

Norge er verdensledende på bildeanalyse med kunstig intelligens. I juniutgaven av Digitalisering kan du lese om hvordan Visual Intelligence skal bidra til å bruke maskinlæring og kunstig intelligens for å løse viktige samfunnsutfordringer innen helse, ressursstyring og miljø.