New Partner

Zeabuz is a new NAIL Partner

We're happy to announce that Zeabuz has joined us a partner! 

If you're curious about sustainable mobility solutions, you should definetely take notice of Zeabuz. The Trondheim-based start-up develops technology and services for a new type of mobility system poised to revitalize our waterways. 

The Zeabuz mobility system is a flexible network of electric, autonomous passenger ferries. Their ambition as a NAIL partner is to develop safe, secure and trustworthy AI, as well as utilizing computer vision and digital twins for development, testing and verification. We look forward to collaboration with Zeabuz on their missioin to make waterborne mobility more efficient, flexible and sustainable. 

Are you student?

Student projects

Are you a student looking for an AI master's thesis project?

Will you write your master's thesis next year and need some inspiration for a thesis topic? Would you like to work with real-life challenges and data? In that case, we recommend that you take a look at the thesis projects submitted by Norwegian companies and organisations during our master's thesis event March 9.

The recording from the event is available for NTNU students and staff here.

In this folder you'll find descriptions of all the thesis projects presented during the pitch session, as well as a few more! 

Se opptak fra webinar om KI i Norge


Se opptak fra webinar om kunstig intelligens i Norge

14. august samlet vi KI-eksperter fra akademia, næringsliv og offentlig sektor til webinar for å diskutere status for KI-utviklingen i Norge.

Vi fikk høre om den nasjonale KI-strategien og hvordan noen av landets største virksomheter arbeider med KI-teknologi. Vi diskuterte fremtiden til og med KI, og stilte det store sppørsmålet kommer robotene egentlig til å ta over? 

Gikk du glipp av webinaret? Da kan du se det i opptak her.



New project SupportPrim will provide recommendations to physiotherapists

The online magazine for Norwegian physiotherapists "Fysioterapeuten" covers the new project SupportPrim, which uses AI to give recommendations about possible treatment for patients. The SupportPrim systems takes into account individual differences between patients.

The project is a collaboration between NTNU's Musculoskeletal research group and the AI Community, with associate professor Kerstin Bach as main contact person from our side.

The project has received support from the Norwegian research council.

Click here to read the article (in Norwegian).

Norwegian Centre for Research-Based Artificial Intelligence Innovation

SFI Center

New SFI center, NorwAI, will develop novel ways to utilize data-driven AI in innovative solutions 

We were thrilled to learn that the Norwegian Center for Research-based Artificial Intelligence innovation (NorwAI) will be granted status as an SFI center (center for research-based innovation) by the Norwegian Research Council.

NorwAI will develop breakthrough theories, methods and technology for efficient and trustable utilization of data-driven AI in innovative, industrial solutions, together with some of the most competent research environments on AI and big data, and companies with high technological ambitions

You can read about all the new SFI centers at NTNU in this article. 



Trym Holter i Digitaliseringspådden

Nysgjerrig på kunstig intelligens (AI)? Hør Trym Holter, direktør for Norwegian Open AI Lab, gjeste Digitaliseringspådden, hvor han forteller om flere spennende AI-relaterte temaer, som talegjenkjenning, motlyd, "smart" teknologi, og gir deg AI-ordlista!

Du kan høre episoden her

Visit by the Minister of Public Security


Visit by the Minister of Public Security 

On May 13, 2019 we were delighted to welcome the Minister of Public Security, Ingvil Smines Tybring-Gjedde (Progress Party) to NTNU and our AI Lab.

Public security is an important aspect of the work we do at NTNU. Together with the excellent research community on cyber security at NTNU in Gjøvik, we presented some of this work to the Minister of Public Security. 

Nordic AI Network

Internationalization – April 26, 2019

The new Nordic AI Network

The leading technical universities in Denmark, Finland, Norway and Sweden form the Nordic Five Tech alliance. In April 2019 the alliance announced the creation of the Nordic Artificial Intelligence Network. 

The intention of the network is to bring together leading expertise in the field of AI and aim to turning the region into a global hub of AI research, education and innovation.

Learn more about the new AI network by reading this article

ai masters theses awards


The top AI Master's Theses in 2020 awarded

Artifical Intelligence is a popular topic among students at NTNU. In fact, more than 200 master's students who graduated from the Faculty of Information Technology and Electricial Engineering last year submitted a thesis in which AI plays a substantial part. 

On December 15th, we celebrated the top AI theses of 2020 in a digital event. Eivind Meyer, a graduate from Department of Engineering Cybernetics, was the lucky winner of the awards.

You can read more about the event and see all nominated theses in this article. 



New projects to start up in 2021

When 2020 was coming to an end, several NAIL researchers got the great news that their project applications had been approved for funding. These are some of the succesful projects to start up in 2021:

  • In the project "TEFLON", to be financed by NordForsk, several Nordic partners will design digital language-learning games for Finnish, Swedish and Norwegian.
  • "New Machine Learning Algorithms for the Calculation of Water Values" is a new research-based innovation project together with Statnett and the Norwegian start up, Optimeering. 
  • "SmaRTWork" will develop a digital system for facilitating the return to work for people suffering from muscle and skeletal diseases. The project is a collaboration between the AI group at the department of Computer Science and the department of public health and nursing. 

You can find a list of all ongoing NAIL projects in our project overview

New project Time series analysis


New project will use AI methods to improve time series analysis

The new project "ML4ITS - Machine Learning for Irregular Time Series analysis" was recently approved for funding (16MNOK) by the Norwegian Research Council. The project aims to improve the analysis of irregular time series, by exploring ways to overcome the issue of limited available or labelled data for (multivariate) time series modelling. These are cases where heterogeneity of the data (e.g. non-stationarity, multi-resolution, irregular sampling) as well as noise, pose further challenges.

ML4ITS’s main objective is to advance the state-of-the-art in time series analysis for “irregular” time series by using modern AI methods. The methods will be applied and tested on industrial different use cases in partnership with Refinitiv, Telenor, and Exabel. 

At the core of ML4ITS there is a cross-disciplinary environment, including Computer Science, Mathematical Sciences and Electronic Systems departments at NTNU. This is also the first collaborative platform between NAIL and the newly established strategic IoT initiative at NTNU to receive external funding.



EXAIGON: New project on explainable artificial intelligence

We recently got the happy news that the Norwegian Research Council will finance a new project on Explainable AI. In this project, we aim to make complex deep learning methods easier to comprehend from a user perspective.
The project will involve the Departments of Computer Science, Technical Cybernetics and Design at NTNU, as well as Sintef Digital as research partner. We will also work closely with business and industry; DNB, DNV GL, Embron, Equinor, Kongsberg Digital, Telenor og TrønderEnergi are all involved as partners in the project. They will share data and use-cases, ensuring that the research results can be applied in a real-life setting.

New project will analyse data on sleep and physical activity


New project will analyse physical behaviour and sleep

NAIL researcher Kerstin Bach, along with colleagues at NTNU Department of Public Health and Nursing, will receive funding for an innovative project on physical behaviour and sleep. The project will explore the unique data in the HUNT study (Nord-Trøndelag Health Study) to examine how biological, socioeconomic, individual, and demographic determinants affect physical behaviour and sleep.

The HUNT data will provide insights to why there are large differences in the level of physical activity and the quality of sleep among the population. The funding is granted by NTNU Helse, one of NTNU’s strategic areas, and the project will run for three years. 

NAIS 2019


Symposium of the Norwegian AI Society 

The 2019 Symposium of the Norwegian AI Society took place from May 27-28 at NTNU, hosted by the Norwgian Open AI Lab. The symposium brought together researchers and practioners in the field of artificial intelligence in Norway and Scandinavia to present ongoing work and future directions of AI.

The symposium provides a forum for networking among researchers as well as building and strenghtening connections with related research fields, practioners and businesses. 

Photos from the Norwegian AI Symposium (flickr)

Succesful AI Hackathon


Succesful AI Hackathon

More than 50 NTNU students spent the weekend March 1-3 at NTNU attending the 2019 AI Hackathon. The event was organized by Telenor and our student organization, Brain. 

The students worked with air quality data from Trondheim kommune, gathered by Telenor sensors. They showed entusiasm and lots of creativity while working on the data. In the end, the winner team was Tannhjulsridderne - congratulations! 

WSJ article


NAIL research featured in Wall Street Journal article

NAIL research on AI in aquaculture was recently featured in this article by Wall Street Journal.

In the article, our partners in Telenor Research shares the story of how AI is changing aquaculture in Norway, by contributing to saving costs and improving efficiency in raising salmon. 

If you are interested in the research behind this story, take a look at these two academic articles: 

A spatio-temporal recurrent network for salmon feeding action recognition from underwater videos in aquaculture by Håkon Måløy, Agnar Aamodt ang Mismi Ekrem. 

FishNet: A Unified Embedding for Salmon Recognition by Bjørn Magnus Matthiesen, Kerstin Bach, Espen Meidell, Håkon Måløy and Edvard S. Sjøblom. 

Elements of AI is coming to Norway


Elements of AI- gratis kurs om kunstig intelligens 

Lurer på du på hva kunstig intelligens (KI) er? NTNU og Norwegian Open AI Lab tilbyr et online introduksjonskurs om kunstig intelligens. 

Elements of AI er et gratis nettkurs for alle som er interessert i å lære om hva kunstig intelligens er, hva som er mulig (og ikke mulig) å gjøre med KI, og hvordan teknologien påvirker livene våre. Du trenger verken å kunne programmere eller være god i matematikk for å ta kurset.

Kurset kombinerer teori med praktiske oppgaver, og du kan fullføre det i ditt eget tempo. Og det er helt gratis!

Bli med på

NTNU students improve monitoring of air quality in Trondheim

Student project

Students developed app to monitor air quality

Master students at NTNU developed the app “Lufta” to keep the inhabitants of Trondheim better informed about the air quality in the city.  

By utilizing data from small sensors located in both permanent locations and on cars and buses, they are able to provide improved measurements of the air quality in Trondheim. The students have worked with IoT technology, as the sensors are connected to the 4G network, which enables wireless and immediate collection of the data. They have also worked with machine learning and prediction of how the air quality will be in the future. 

The project was initiated by Telenor and has been carried out in close cooperation between NTNU students, AI Lab researchers and Telenor. You can learn more about the project by reading this article (in Norwegian). 

The AI Challenge


AI Challenge - the Future of Artifical Intelligence 

On June 18, the AI Challenge conference took place - a full-day conference about the future of artifical intelligence and a side event to NTNU´s science festival "Big Challenge". The conference was co-organized by NTNU Digital, Sintef Digital and the Norwegian Open AI Lab.

We had several intersesting speakers: Kamalika Das (RIACS/USRA, NASA ARC), Nicola Palmarini (MIT-IBM Watson AI Lab), Teemu Roos (University of Helsinki), Silvija Seres, Astrid Undheim (Telenor Research), Roger Moore (University of Sheffield), Abhishek Thakur (, and our own Rudolf Mester.

Have a look at this article by Universitetsavisa (in Norwegian) to learn more about the conference.

Machine learning used to recognise salmon

Student project

Video of salmon

Machine learning used to recognise salmon 

Meet former NTNU students, Espen Meidell and Edvard Schreiner Sjøblom, who took a deep dive into the ocean while writing their master's thesis during spring 2019. They focused on how machine learning can be used to recognise individual salmon.

In this video (in Norwegian) they explain how it was done, and why recognizing salmon can be useful for the salmon industry. This work was done in cooperation with Sealab Ocean Group and Norwegian Open AI Lab.

AI Podcast: Ole Jakov Mengshoel on Lø


Ole Jakob Mengshoel on Lø 

In this podcast episode of Lø, Ole Jakob Mengshoel is interviewed by Silvija Seres. They talk about how AI has developed and how it can be used to solve global challenges, while improving the newest technology (in Norwegian)

There you can also find several other interesting interviews, among others with our partners Telenor, Sintef and Norsk Regnesentral.


Nordic Probabilistic AI School


Nordic Probabilistic AI School

The first edition of the Nordic Probabilistic AI School (ProbAI) was organised June 3-7 2019. The school offered state-of-the-art expertise in machine learning and artificial intelligence to the public, students, academia and industry.

This was an intermediate to advanced level school with a particular focus on probabilistic models and deep generative models, covering the topics of latent variable models, inference with sampling and variational approximations, probabilistic programming and tools.

The event was a big succes, gathering more than 150 participants from all over the world. In addition to an interesting and challenging academic program, the participants attended various social events, making it a great place to network and meet new people. We are already excited about repeating the summer school in the coming years.