The Analytics and AI research group is a multidisciplinary group with expertise within AI for physical processes and industrial systems, focusing on finding the best AI solutions for the industry and the public sector.
The research group specializes in developing advanced computer-based methods and algorithms to model complex physical systems across various disciplines, including geoenergy, electrochemistry, surface water dynamics, and ocean modeling.
The research group specializes in cyber-physical systems for digitalized industrial automation, robotics, and critical infrastructure. Our expertise spans various fields and covers all project phases, from design to validation.
The reserach group's primary research areas are autonomous systems, robotics, estimation, and control. Within these areas, we have expertise in a diverse range of fields, including real-time control, sensor fusion, automated mission planning, motion...
Today humans are surrounded by breakthroughs within the field of Artificial Intelligence. Algorithms based on artificial intelligence recognises text, speech, sounds and images – and they are changing the shape of our common future.
Digital twins and mixed reality are reshaping the future of employment.
Mathematics and technology are inextricably linked, with advances in one field driving innovation in the other. Mathematics underpins algorithms and data analysis techniques are used across a diverse range of industries, while technology has...
Robotics and autonomy are pawing its way into new usage areas. SINTEF contributes with expertise, technology and infrastructure to create sustainable robotic solutions for both industry and the public sector.
The VOCSimPRO project aims to modernize and expand SINTEF’s simulation tool VOCSim. By implementing it in a modern programming language and developing new methods for calibration and uncertainty analysis, VOCSimPRO will enable emission analysis...
Provide better Arctic oil-spill detection using satellites and real-time monitoring, and enable faster, coordinated response to reduce environmental harm and protect communities.
The primary goal of this project is to test if ultrasound scanning of the thyroid gland is feasible using a robotic arm, without any radiologist present.
The project develops new insights into how we can build greater robustness in the food system by fostering east–west collaboration between regions, rather than traditional north–south approaches.
Quantum computing is rapidly emerging as a transformative technology for science, industry, and society. With the Q-NRI project, Norway is taking a decisive step to build national competence and infrastructure for the quantum era. SINTEF plays a...
The EDA SHABAM project address the future of robust and flexible military radio communications.
This project focuses on responsible integration of artificial intelligence (AI) into general practice in Germany, specifically through co-development of an AI-powered chatbot.
Model and reduce the uncertainties in lifetime prediction of marine risers based on targeted probability levels using probablistic and multi-fidelity modelling relying on measurement data.
The project conducts follow-up research on the “Usability Program,” which aims to improve the usability of the Helseplattformen system. Insights from the research will help the Program achieve its goals. Increased usability leads to greater...
SINTEF Digital
Mathematics and Cybernetics
P.O. Box 124 Blindern
N-0314 Oslo, Norway
SINTEF Digital
Mathematics and Cybernetics
P.O. Box 4760 Sluppen
N-7465 Trondheim, Norway
Forskningsveien 1, 0373 Oslo, Norway
Strindveien 4, 7034 Trondheim, Norway
Klæbuveien 153, 7031 Trondheim, Norway
