The Analytics and AI group is a multidisciplinary research 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.
Department of Mathematics and Cybernetics
The Reliable Automation 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.
Our 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 planning...
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.
Global Impact- Gemini Center
In the Gemini Center 'Equitable Partnerships for Global Impact', SINTEF and NTNU have joined together to better address the 2030 Sustainable Development Agenda’s imperative of “Leaving no one behind”.
DigiBatt: Digital Solutions for Accelerated Battery Testing
DigiBatt will slingshot the European battery industry forward by using advanced digital technology to make battery testing faster, cheaper and more accurate. We will develop novel digital approaches to extract more value from fewer tests. This will...
EXTREME EFFICIENCY — Data-driven optimization of industrial processes in time-varying environments
Industry is responsible for a large part of the global energy consumption and emissions. To help meet energy demands and reduce climate change, Extreme Efficiency aims to make industrial processes more energy efficient.
This project aims to develop digital solutions that advance geological heat storage as an eco-friendly, scalable energy storage method, reducing energy demand and supporting the green energy transition.
HoloSurge: Holographic Guidance System for Interventions on Liver and Pancreatic Cancers
The HoloSurge project will provide surgeons with a visualization and navigation tool that can improve clinical decision-making and reduce the risk of surgical complications in cancer surgery.
INTEND: Intent-based data operation in the computing continuum
The INTEND project will use cutting edge AI solutions to achieve automated operation of the computing continuum based on the intents of human stakeholders, creating a toolbox that continually learns how to adapt and orchestrate cloud and edge...
Living well with progressive multiple sclerosis: rehabilitation to improve functioning and wellbeing
To develop and evaluate a new community-based comprehensive, holistic, goal-oriented multi-symptom rehabilitation programme tailored to the needs and circumstances of each individual.
Mathematics and Cybernetics
P.O. Box 124 Blindern
N-0314 Oslo, Norway
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