Artificial intelligence (AI) is about algorithms, machine learning and intelligent systems that can analyse, learn and act.
Our research community is among Norway’s largest and most experienced in AI. We develop both foundational methods and practical solutions that create tangible value in the public and private sectors.
We develop AI solutions for everything from healthcare and industry to public administration—and ensure transfer value by applying our experience across sectors.
Our research includes
- Fundamental AI methods that improve learning, generalisation and robustness, including by combining machine learning with existing knowledge and traditional computational methods.
- Industrial AI to increase productivity, efficiency and competitiveness.
- Green AI contributes to sustainable solutions by being scalable and energy-efficient, ensuring efficient use of computing power.
- Safe, explainable and ethical AI that can be verified and validated, builds trust, and can be used safely in society.
- AI agents that act, collaborate and learn in both physical and digital environments.
- AI for autonomous systems for independent, reliable and efficient control of processes, robots and vessels.
- Multimodal AI that leverages text, images, 3D point clouds and video for richer analysis and decision support.
- Human–AI collaboration that adapts technology and organisations to achieve the best possible results.
We collaborate closely with strong AI environments in Norway and internationally, and help shape the future of an intelligent and responsible technology society. We help organisations understand how to adopt the technology and change ways of working to succeed.
Relevant research groups
- Acoustics
- Analytics and Artificial Intelligence
- Applied Computational Science
- Communication Systems
- Computer Vision
- Cyber Safety
- Digital Process Innovation
- Computational Sciences and Engineering
- Geometry
- GIOT - Trustworthy Green IoT Software
- HCI - Human Computer Interaction (expertise)
- Industrial Value Creation
- Innovation and Sustainability (N)
- Optics
- Optimisation
- Reliable Automation
- Robotics and Control
- Robust AI and Data Systems (employees)
- Safety and Reliability
- SD - Smart Data
- Technology in Work and Organisation (N)
