Robert Jenssen at the opening of SFI Visual Intelligence. PHOTO: JONATAN OTTESEN / UIT
The official opening of SFI Visual Intelligence was successfully arranged as a digital event today. We are now ready to commence our research and innovation to tackle some of the large challenges in deep learning and AI, along with our partners.
The new Center for research-based innovation, Visual Intelligence, was officially opened today. The center researches artificial intelligence in close collaboration with business and health trusts, and will develop future solutions with a budget of NOK 300 million.
The UiT Machine Learning group and its research environment has been given the status of Center for Research-based Innovation (SFI) - with an allocation of up to NOK 96 million over eight years from the Research Council of Norway. With the support of their user partners, they have a total of NOK 294 million to develop artificial intelligence and image analysis for the future. On Thursday 14 January, they marked the opening of the new SFI with a digital event.
- Starting Visual Intelligence is something we have been looking forward to with great joy and enormous enthusiasm, says center leader and professor at UiT Robert Jenssen.
We have assembled a team of outstanding researchers and partners from academia, business and the public sector. The interdisciplinary approach and our complementary areas of expertise are a key to success, says center leader and professor Robert Jenssen.
UiT's rector Anne Husebekk had the honor of opening the center.
- I am incredibly proud to open a new SFI under the auspices of UiT, says Husebekk.
She talks about the technological development that has taken place since she started as a young researcher in medicine, and studied one cell at a time. At the end of her research career, eight years ago, it was possible to study millions of cells at once.
- And if you can then see millions of cells in many different experiments at once using images from artificial intelligence, you will see something completely different! It is the main point that makes machine learning and artificial intelligence so useful - it is a field of research that adds to usability, both in medicine and many other areas, says Rector Husebekk.
Visual Intelligence will further develop the field of visual intelligence - deep learning from images by artificial neural networks - beyond what is possible with current technology. The approach to the center is interdisciplinary and will create value across innovation areas where analysis of complex image data will have great utility value.
The center will develop better tools for, among other things, detecting heart disease and cancer, monitoring and detecting natural resources such as fish stocks, and monitoring the environment and climate, risks and potential natural disasters. The activities will thus contribute to solving important societal challenges related to health, resource management and environmental and climate monitoring.
Analysis and image data bring the different innovation areas together.
- The analysis methodology we develop in one area can often be useful in other innovation areas. For example, a method for finding cancerous tumors in the body with artificial intelligence could also be used to categorize fish species, says the center's leader, Robert Jenssen.
- With the new status as SFI, we can continue to be a leader nationally and internationally in this type of research, in collaboration with our research partners, the Norwegian Computing Center and the University of Oslo, says Jenssen.
Jenssen heads the center together with the co-directors Line Eikvil and Anne Solberg at the Norwegian Computing Center and the University of Oslo, respectively.
The center is a consortium of major players as its user partners, which cover a wide range of private and public sectors. The University Hospital in Northern Norway, the Norwegian Cancer Registry, GE Vingmed Ultrasound and Helse Nord IKT represent the health field. Equinor covers the energy field and the Institute of Marine Research represents the marine. Within Earth observation, the partners are KSAT and the company Terratec.
- With the help of this special composition of partners, we get close to the issues that are important for these major partners. Through close collaboration, we learn to know their challenges and understand more easily how we can develop solutions they need, says Jenssen.
Media contact person on the occasion of the opening of Visual Intelligence: Robert Jenssen.
Beslutninger gjort av algoritmer gir oss problemer med uforståelige forklaringer.
Visual Intelligence wishes you a Merry Christmas and a Happy New Year!
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.
The paper review some recent advances in developing machine learning methods for marine science applications in Norway. It is published in the Journal of Ocean Technology 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?“.
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.
I fremtiden kan det bli langt lettere å bruke kunstig intelligens til å finne riktig fangst. Det sørger en helt ny algoritme for.
The Alan Turing Institute and Visual Intelligence have signed a Memorandum of Understanding (MoU) with the intention to set up exciting avenues for joint research.
Senter for forskningsdrevet innovasjon, Visual Intelligence, som ledes fra UiT Norges arktiske universitet, har inngått en avtale med The Alan Turing Institute.
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.
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.
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).
Robert Jenssen, leder for Visual Intelligence delte sine tanker om dette i seminaret Norge 2030
Når kunstig intelligens henter ut riktig informasjon fra bilder av blodet, så kan pasienter få det litt bedre.
Did you miss any of our recent seminars? When we host seminars and events we often record relevant talks and presentations and make them available at our youtube channel. You can access all our content through our "outreach" page.
SFI Visual Intelligence is organizing a graduate school for early career research fellows connected to Visual Intelligence. VIGS aims at connecting research fellows across our different research institutions to build social and professional networks.
SFI Visual Intelligence has published the annual report for 2020. The report is approved by the Visual Intelligence board and available for download as a pdf document under "publicity".
Akkurat nå har lille Tromsø tilgjengelige forskningsmidler på kunstig intelligens (KI) for like i underkant av en halv milliard kroner! Tromsø-miljøet nyter stor internasjonal anerkjennelse, og det vil de dele med andre på en stor konferanse til sommeren.
Visual Intelligence is co-hosting the Midnight sun conference 2021 June 15-16 together with prominent partners in health research in Norway. The conference will be a hybrid physical/digital event and registration is now open.
The 5-year master's program accepts its first students Fall 2021. The program will provides a broad and solid foundation for working with artificial intelligence through classes in informatics, mathematics, statistics and specialized subjects on artificial intelligence.