Presentations

NorwAI Innovate 2025, Trondheim

Blekeli, T. N.; Hagerup, E. A. (NRK). From idea to internal success: How we built NRKGPT and trained 1500 employees in AI

Bovim, G. (Research Council Norway). AI and Innovation: Shaping the Future of Research and Technology

Bungum, L. (NTNU). Online Evaluation of LLM-Generated Text: What Metrics Make a Difference?

Casolo, S. (Cognite). From Anomaly to Answer: AI Agents for Industrial Equipment Root Cause Analysis

Fjuk, A. (Digital Norway). Digital imagination- a key competence for all in 2025

Fjukstad, B. (DIPS AS). LLMs in Action: Integrating AI into Norwegian Electronic Health Records

Giannokos, M (NTNU). Hybrid Intelligence and human learning

Gulla, J. A. (NTNU). Opening and highlights & Closing remarks

Halvorsen, C. P. (Vend). AI - from promise to practice

Lindeberg, E. (Skygard). Ensuring Secure and Responsible AI - A Data Center Perspective

Lie,H. T. (Dehns, NTNU). AI and IP: The balance between openness and control of innovation

Lopez Calvet, J. C. (Schibsted Media). Concrete applications of AI in Media

Lovett, H. (Norwegian Directorate of Health). Joint AI plan for the safe and effective use of AI in the Norwegian health and care services 2024 - 2025

Moe, Ø. S. (Telenor AI Factory). AI Factory

Monteiro, E. (NTNU); Thorvik, K. (Hemit). Domain spesific LLMs in health care

Nordby, J. (Soundsensing); Kolstø, J. V. (Norwegian computing center, NR). Applied anomaly and change point detection algorithms for online monitoring

Riemer-Sørensen, S. (SINTEF). Synergies between NorwAI and the Norwegian Center on AI for Decisions (AID)

Shamba, A-K (NTNU). Contrast All The Time: Learning Time Series Representation from Temporal Consistency

Sørensen, A. (NTNU). Embodied AI in Cyber-Physical-Systems Enables a Paradigm Shift in Ocean Science, Industry and Security

Tung, K. (Norwegian Government). Looking forward – the next digital chapter

Ugland, Y. (DNB). Leading with Data: How Ethical Foundations Drive AI Success

Vonen, H. (Hugin Medical, Novo Nordisk Bio Innovation Hub). Creating a culture of innovation at Norwegian Universities

Wold, K. (Sparebanke1 SMN). AI Competence in Practice: How a Shared Learning Project is shaping the future of Customer Service

Zhang, L. (NTNU). From Cortex to Code: Comparative Insights into Reasoning in Brain Networks and LLMs

Øvrelid, L. (UiO). LLM evaluation in the Mimir project: how can we assess the value of copyrighted materials in LLM training?

Åm, H. (NTNU). AI and democracy

NorwAI Innovate 2024, Trondheim

Andreassen, E. (Digital Norway). What does it take for private and public companies to succeed in adopting AI technologies as part of their business model?

Bach, K. (NTNU). Research Update from NorwAI

Borsch, R. (NHO). How do we speed up the use and development of AI in Norwegian Businesses?

Brasethvik, T. (NTNU). Safe applications of large language models

Eide, S. (Schibsted Media). Building AI-tech all over the place: Innovation is chaos

Grønnevet, G. (Telenor). How to integrate research in business

Gundersen, O. E. (Aneo). Operative explainable artificial intelligence

Hafver, A. (DNV). Safe and responsible use of LLMs in industry

Hoel, O. (Regjeringen). AI: What will it take for Norway to succeed? 

Łajewska, W. (UiS). Answering Complex Open-ended Questions in the Era of Generative LLMs

Lech, T. C. (SINTEF Digital). Regulations for the Digital Economy – Impact on Industry

Lervik, J. M.; Casolo, Simone (Cognite). Energy Transition powered by Industrial Data & AI

Lie, H. W. (YesLogic). Why laws must be freely readable and reusable

Lund, H. (Statnett). Hybrid modelling in the power sector

Myhre, A. S. (Nation Library of Norway). The machines must speak Norwegian and the algorithms must understand Norway – why the National Library of Norway is training generative language models

Nedregotten, P. (NRK). How NRK transforms LLMs into real-life value

Nguyen, N. (NTNU). NorwAI Innovation 2.0 – A conversation with Nhien Nguyen, NorwAI - INNOECO WP leader and Associate professor

Pettersen, S. H. (Ræder Bing). Navigating the AI Act: Strategic Compliance and Contractual Obligations

Råd, O. (Norwegian Research Council). 122 ideas for National AI Centers – where do we go from here? Status, and the way forward for the AI research- and innovation investments at the Research Council of Norway

Sauter, R. (Kongsberg Digital). Bridging the gap between process simulators and real data with Hybrid ML

Schultz, A. (Norwegian Digitalization Agency). What will the AI-act mean for you?

Thaulow, J.; Ingvaldsen, J. E. (Medbric). Introducing Medbric: Pioneering AI Agents for Healthcare

Undheim, A. (Sparebank 1 SMN). Transforming the finance industry through AI

Van den Abeele, J. P. (Telenor Research and Innovation). Responsible AI from research to practice

NorwAI Innovate 2023, Trondheim

Almeland, G. (Norwegian politician and Parliament member representing the Liberal party (Venstre)). AI regulations  – a political perspective

Bach, K. (NTNU). NorwAI update- what has been happening in NorwAI? Research contributions from NorwAI

Bendiksen, C. (Bull & Co Advokatfirma AS). Using AI legally – today and when the AI acts arrive

Casolo, S. (Cognite); Stasik, A. (SINTEF). Matching simulations to the real world

Downing, K. (NTNU). AI & I: A Personal Perspective on the Field

Eriksen, R. (DNV). Keynote Speach: Building trust into industrial AI

Gropengiesser, V. (ETH AI Center, Zürich). Enabling entrepreneurship and venture creation at the ETH AI Center

Heintz, F. (Linköping University). Towards Factual and Trustworthy Large Language Models

Ingvaldsen, J. E. (NTNU). Responsible Norwegian Language Models

Kummervold, P. E. (National Library of Norway). LLM work of the national library

Pettersen, K. Y. (NTNU). A New Class of Marine Robots: from Nature, through University, into Industry

Pleus, D. (Schibsted). Frontrunner Schibsted on language models

Sandvik, T. O. (Norwegian politician, Labour Party (Arbeiderpartiet))

Tennøe, T. (The Norwegian Board of Technology). AI Regulation: The state of play

Thelle, N. J. W. T (Oslo Met). Creatively breaking models: A perspective from the arts

Ugland, Y. (DNB). New Tech is good money

Walsø, C. L. (Th Police IT Unit). Data and AI in the Norwegian police

Östman, J. (AI Sweden). Anti-money laundering via federated learning between banks

NorwAI Innovate 2022, Trondheim

Berre, A. J. (SINTEF). NorwAI Achievements. 

Coath, F. (Thoughtworks). Meet the people fighting surveillance capitalism

Dahl, J. L. R. (Cognite). Solving the industrial data problem. NorwAI Achievements 

Eide, S. (Schibsted). Recommender systems, cold start and language models @Schibsted

Gjersvold, S., Gundersen, O. E. (Aneo). Aneo - a new player in the Nordic greren energy market

Mocialov, B., Euthorsson, E. T. (Aize). Aize - making heavy assets feel lighter

Nakajima, H. (Nikkei). Transformation of text, audio and video

Hoyer, F. (AI Sweden). The Swedish model GPT-SW3

Ramallo, A. P. (Zalando). What should I wear? Personalized outfit recommendations

Rosso, P. (Technical University of Valencia). Language models and NLP for the detection of fake news and conspiracy theories

Sandberg, B. T. (DNA). AI in the land of the Moomin

Stavrum, K. L. (Tinius Trust, Freedom of Expression Comission). An open conversation

Svensson, M. (AI Sweden). Collaboration and bold leadership

Thaulow, S. S. (Schibsted). Schibsted - a Nordic player

NorwAI Innovate 2021, Trondheim

de Rijke, M. (University of Amsterdam). Unifying Online and Counterfactual Learning

Dignum, V. (Umeå University). Social and Ethical Artificial Intelligence

Engdahl, G. (Cognite). Key challenges to benefiting from AI in assets heavy industries. NorwAI Innovate Tutorial

Engø-Monsen, K. (Telenor). Becoming Data-Driven: DATA, PTBS and PEOPLE. NorwAI Innovate Tutorial

Festø, K., A. (DNB). Kunstig intelligens i DNB. NorwAI Innovate Tutorial

Gulla, J. A., et al. (NTNU). New language models

Gundersen, O-E. (TrønderEnergi). TrønderEnergi.  NorwAI Innovate Tutorial

Holmsen, T., L. (NTNU). Understanding Organizations' Adoptation of AI Technologies. NorwAI Innovate Tutorial

Holter, T. (NTNU). Startups, and the role they play in the European AI landscape

Jenssen, R. (UiT the Arctic University of Norway). Visual Intelligence - Solving research challenges in deep learning to enable innovations

Lervik, J., M. (Cognite). Asset industry: To build an industrial iPhone moment

Martinkenaite, I. (Telenor). From hype to hard work. Is AI (still) cool? 

Njølstad, P-C. (Spacemaker). Designing better, more sustainable cities with AI

Risvik, K. M. (Microsoft). Search and next-generation AI - How large pre-trained language models are transforming the worlds biggest AI application

Thaulow, S., S. (Schibsted). The use of use cases - How Schibsted works to deliver value from data. NorwAI Innovate Tutorial

Traiger, E., A. (DNV). Risks, opportunities, ethics and AI impact

NorwAI Innovate 2025, Trondheim

Unreliable Uncertainty Estimates with Monte Carlo Dropout

Djupskås, A (1); Stasik, A. J. (1,2); Riemer-Sørensen, S. (2)

(1) Department of Data Science, Norwegian University of Life Sciences NMBU, Ås, Norway
(2) Department of Mathematics and Cybernetics, SINTEF Digital, Oslo, Norway

Gaussian Process Kolmogorov-Arnold Networks for Probabilistic Multivariate Function Approximation

de Leyos, A, (1); Stasik, A. J. (1,2); Riemer-Sørensen, S. (2)

(1) Department of Data Science, Norwegian University of Life Sciences NMBU, Ås, Norway
(2) Department of Mathematics and Cybernetics, SINTEF Digital, Oslo, Norway

Implementing AI in Practice: Insights from a Multi-Case Study Across Organizational Levels

Ajraoui, A; Nguyen, N; Sætre, A. S.

Department of Industrial Economics and Technology Management , NTNU

Understanding Multimodality in Feature Selection Landscapes

Sánchez Díaz, X. F. C.; Mengshoel, O. J.

Department of Computer Science, NTNU

Key Competencies for Human-AI Collaboration and How Organizations Foster Their Development

Steppe, J. A.; Nguyen, N.; Johannson, O. H. N.; Maric, S

Department of Industrial Economics and Technology Management , NTNU

Examining the robustness of Physics-Informed Neural Networks to noise for Inverse Problems

Jekic, A (1); Natsaridou, A. (1); Riemer-Sørensen, S. (2); Langseth, H (1); Gundersen, O. E. (1)

(1) Department of Computer Science, NTNU
(2) Department of Mathematics and Cybernetics, SINTEF Digital, Oslo, Norway

Simplifying the Graph Similarity Learning Task with Graph Neural Network

Tüzen, A.; Nørvåg, K; Langseth, H.

Department of Computer Science, NTNU

Multi-Dimensional Evaluation Metric for Text Generation

Bungum, L. 

Department of Computer Science, NTNU

Natural Language User Interest Profiles for Scientific Literature Recommendation

Arustashvili, M; Balog, K.

Department of Electrical Engineering and Computer Science, University of Stavanger

Responsible AI Practices in Organisations: A Systematic  Literature Review

Murgorgo, S. (1); Nguyen, N. (1), Mikalef, P (2); Bach, T. A. (3)

(1) Department of Industrial Economics and Technology Management , NTNU
(2) Department of Computer Science, NTNU
(3) DNV

NorwAI Innovate 2024, Trondheim

Abbas, S. F.; Bathen, T. F.; Elschot, M. (2024). Weakly supervised diffusion model for prostate anomaly detection. Poster at NorwAI Innovate Conference, Trondheim.

Ajraoui, A; Nguyen, N; Sætre, A. S. (2024). Barriers and enablers to implementing AI in organizations: a systematic literature review.  Poster at NorwAI Innovate Conference, Trondheim.

Baumgartner, D.; Langseth, H.; Engø-Monsen, K.; Ramampiaro, H. (2024). Normalizing Flows Conditioning is Everything. Poster at NorwAI Innovate Conference, Trondheim.

Moradi, A; Abrahamsen, B. S.; Elschot, M (2024). Semi-supervised Multi-task Federated Learning for Multi-organ Segmentation: a Student-Teacher Approach. Poster at NorwAI Innovate Conference, Trondheim.

Nystad, E. J.; Martin-Requerda, F. (2024). Exploring the Entity Matching Problem: From String-Matching to Pre-Trained Language Models. Poster at NorwAI Innovate Conference, Trondheim.

Ogorodnyk, O.; Stendal, J. A.; Harik, E. H. C.; Leirmo, T. (2024). Explainable AI for delivery route optimization using Reinforcement Learning. Poster at NorwAI Innovate Conference, Trondheim.

Osadcha, K.; Osadcha, M. (2024). Generative Artificial Intelligence VS Humans in the process of creating corporate identity elements. Poster at NorwAI Innovate Conference, Trondheim.

Sarkhoosh, M. H.; Solberg, H. M.; Gautam, S.; Midoglu, C.; Sabet, S. S.; Halvorsen, P. (2024). Automated Creation of Player-Specific Soccer Highlight Clips Using PlayerTV. Poster at NorwAI Innovate Conference, Trondheim.

Shamba, A-K; Bach, K; Taylor, G. (2024). Seeing Through Time: Unsupervised Contrastive Representation Learning. Poster at NorwAI Innovate Conference, Trondheim.

Sharma, V.; Mishra, D. (2024). Robot Vision: The Convergence of Computer Vision and Robotics. Poster at NorwAI Innovate Conference, Trondheim.

Steppe, J. A.; Morais-Storz, M.; Nguyen, N. (2024). AI-Augmented Creativity: Influence of Generative AI on Creativity. Poster at NorwAI Innovate Conference, Trondheim.

Wang, S.; Ecclesia, S.; Sánchez-Díaz, X. Søraa, R. A.; Øztürk, P. (2024). Investigating the Ethical Dimensions of AI: An Interdisciplinary Approach Combining CBR and “It Could be Otherwise”. Poster at NorwAI Innovate Conference, Trondheim.

NorwAI Innovate 2023, Trondheim

Agarwal, R. (2023). Handling Dimension Varying Inputs in Online Learning. Poster at NorwAI Innovate Conference, Trondheim.

Baumgartner, D. (2023). mTADS: Multivariate Time Series Anomaly Detection Benchmark Suites. Poster at NorwAI Innovate Conference, Trondheim.

Doan, T. M., Kille, B, Gulla, J. A. (2023). SP-BERT: A Language Model for Political Texts in Scandinavian Languages. Poster at NorwAI Innovate Conference, Trondheim.

Eidnes, S., Stasik, A. Lye, K., Sterud, C., Bøhn, E. and Riemer-Sørensen, S. (2023). Pseudo-Hamiltonian neural networks for learning ODEs and PDEs. Poster at NorwAI Innovate Conference, Trondheim.

Firouzjaei, H. A. (2023). A deep learning-based approach for identifying unresolved questions on Stack Exchange Q&A communities through graph-based communication modelling. Poster at NorwAI Innovate Conference, Trondheim.

Fuchs, F. G., Stasik, A., Miao, S. (2023). QuantumReservoirPy: A Software Package for Time Series Prediction. Poster at NorwAI Innovate Conference, Trondheim.

Jayawardene, I. Elvesæter, B. (2023). Identifying Defects in Fishnets in Fish Farms. Poster at NorwAI Innovate Conference, Trondheim.

Khalitov, R. Yu, T., Cheng, L and Yang, Z. (2023). ChordMixer: A Scalable Neural Attention Model for Sequences with Different Lengths. Poster at NorwAI Innovate Conference, Trondheim.

Knaus, T. (2023). DECODING THE SOCIAL SIGNAL IN VOICE DATA – The emergence of computational methods to read human sociality. Poster at NorwAI Innovate Conference, Trondheim.

Løkkeborg, T. (2023). Deep Reinforcement Learning for International Diplomacy: Learning to Play Map Variants. Poster at NorwAI Innovate Conference, Trondheim.

Michalowska, K., Goswami, S., Karniadakis, G. E., Riemer-Sørensen, S. (2023). Multi-resolution learning with operator- and recurrent neural networks. Poster at NorwAI Innovate Conference, Trondheim.

Rønningstad, E. (2023). NorwAI Innovate Poster Abstract: New Entity-centric Insights for Norwegian Sentiment Analysis. Poster at NorwAI Innovate Conference, Trondheim.

Sánchez-Díaz, X. F. C., Mengshoel, O. J. (2023). EvoLP.jl: Modular Optimisation in Julia using Evolutionary Computation. Poster at NorwAI Innovate Conference, Trondheim.

Shamsaliei, S., Gundersen, O. E., Kjærnli, H., Langseth, H. (2023). On Reliable Reporting of Conclusions in Model Comparison Studies of Deep Neural Networks

Singh, A. (2023). Deep Reinforcement Learning for Spatio-Temporal Wildlife Management. Poster at NorwAI Innovate Conference, Trondheim.

Song, E., Li, T. (2023). Kaia- the Social Robot. Demo at NorwAI Innovate Conference, Trondheim.

Treuillier, C., Castagnos, S., Brun, A. (2023). How a Multi-factorial Analysis of Polarization Paves the Way for Innovative Recommendation Strategies. Poster at NorwAI Innovate Conference, Trondheim.

Vassøy, B., Langseth, H. and Kille, B. (2023). Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders. Poster at NorwAI Innovate Conference, Trondheim.

NorwAI Innovate 2022, Trondheim

Ali, R., Sarmad, M., Tayyub, J., Vogel, A. (2022). Accurate Detection of Weld Seams for Laser Welding in Real-World Manufacturing. Poster at NorwAI Innovate Conference, Trondheim.

Bayrak, B., Veites, P. M., Bach, K. (2022). Explaining Black-Box Models Using a Multi-agent CBR System. Poster at NorwAI Innovate Conference, Trondheim.

Doan, T. M., Kille, B., Gulla, J. A. (2022). Using Language Models for Classifying the Party Affiliation of Political Texts. Poster at NorwAI Innovate Conference, Trondheim.

Elfarri, E., Rasheed,A. (2022). Digital Twin of a Building Powered by Artificial Intelligence and Demonstrated in Virtual Reality, Poster at NorwAI Innovate Conference, Trondheim.

Hammersborg, P., von Brandis, A., Strümke, I. (2022). Comparing explanations from DNN-generated wine score predictions with expert opinions. Demo at NorwAI Innovate Conference, Trondheim.

Hirsch, J. et al. (2022) LIACI - Lifecycle Inspection, Analysis and Condition Information System. Poster at NorwAI Innovate Conference, Trondheim.

Hukkelås, H., Lindseth, F., Mester, R. (2022). DeepPrivacy: A Framework for Realistic Image Anonymization. Demo at NorwAI Innovate Conference, Trondheim.

Høyset, H. B., Eggen, M., Ås, A. M. (2022). Kaia- the Social Robot. Demo at NorwAI Innovate Conference, Trondheim.

Lam, A. N., Peter, T., Skjuve, M. B., Waszak, M. (2022). Chat with your factory: A Knowledge Graph Based Conversational AI Agent. Demo at NorwAI Innovate Conference, Trondheim.

Logacjov, A., Herland, S., Ustad, A., Bach, K. (2022). SelfPAB: Self-supervised Physical Activity Representation Learning Based on Accelerometer Data. Poster at NorwAI Innovate Conference, Trondheim.

Lorenz, E. A., Xiaomeng, S. (2022). Real-time Human Motion Capture for Clinical Multi-Modal Brain-Computer-Interfaces, Poster at NorwAI Innovate Conference, Trondheim.

Maropaki, S., Chester, S., Doulkeridis, C., Nørvåg, K. (2022). Diversifying Top-k Point-of-Interest Queries via Collective Social Reach. Poster at NorwAI Innovate Conference, Trondheim.

Nystad E. J., Roman, D., Martin-Recuerda, F., Waszak, M. (2022). Dashboard and Data Pipeline for Academic Network. Poster at NorwAI Innovate Conference, Trondheim.

Peter, T., Lam, A. N., Bauer, B., Waszak, M. (2022). Spread your Wisdom — Cross-Asset Pattern Matching for Digital Twins through Knowledge Graphs and Similarity Measures. Demo at NorwAI Innovate Conference, Trondheim.Sarmad, M., Fatima, M., Tayyub, J. (2022) Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with

Fourier Features. Poster at NorwAI Innovate Conference, Trondheim.

Tayyub, J., Sarmad, M., Schönborn, N. (2022). Explaining Deep Neural Networks for Point Clouds using Gradient-based Visualisations. Poster at NorwAI Innovate Conference, Trondheim.

NorwAI Innovate 2021, Trondheim

Barlaug, N. (2021). LEMON: Explainable Entity Matching, Poster at NorwAI Innovate Conference, Trondheim.

Bekkemoen, Y., Langseth, H. (2021). Correcting Classification: A Bayesian Framework Using Explanation Feedback to Improve Classification Abilities,  Poster at NorwAI Innovate Conference, Trondheim.

Blakseth, S. S., Rasheed, A., Kvamsdal, T., San, O. (2021). Deep Neural Network Enabled Corrective Source Term Approach Applied to Heat Diffusion Modelling, Poster at NorwAI Innovate Conference, Trondheim.

de Souza da Silva, E., Vassøy, B., Ruocco, M., Aune, E. (2021). Joint point process models and recurrent neural networks for sequential recommendations and time prediction,  Poster at NorwAI Innovate Conference, Trondheim.

Flogard, E. L., Mengshoel, O. J., Bach, K. (2021). Demonstration of Smart Checklist for Labour Inspections using Case-Based Reasoning and Bayesian Inference, Poster at NorwAI Innovate Conference, Trondheim.

Måløy, H. (2021). Leveraging Temporal Perception for Increased Performance in Real-World Applications, Poster at NorwAI Innovate Conference, Trondheim.

Rehm, J., Gundersen, O., E., Reshodko, I., Bach, K. (2021). Utilizing Driving Context to Increase the Annotation Efficiency of Imbalanced Gaze Image Data, Poster at NorwAI Innovate Conference, Trondheim.

Rønningstad, E. (2021). Targeted Sentiment Analysis for Norwegian Text, Poster at NorwAI Innovate Conference, Trondheim.

Shamsaliei, S., Dalsgård, A., Gundersen, O., E., Alfredsen, K., Halleraker, J., H. (2021). Semantic segmentation of black and white aerial photography of riverscapes in Norway,   Poster at NorwAI Innovate Conference, Trondheim.

Xing, Y. (2021). Balancing Multi-domain Corpora Learning for Open-Domain Response Generation, Poster at NorwAI Innovate Conference, Trondheim.