Application areas

 

Application areas

At the Norwegian Open AI Lab we perform basic and applied research.  We pay special attention to the areas of: 

Health

Our research efforts within health and medicine aim to better predict potential health risks and create personalized treatment. We also seek to empower individuals by increasing your awareness about your health and influencing factors. We utilize AI methods to make specialized medical expertize available to the general public. 

By improving and innovating health tecnhology we can contribute to increasing the preciseness and efficiency of medical treatments and reducing public costs. 

Projects


 

Energy 

The transition to a more sustainable energy production requires an increased share of electricity from renewable energy (wind, solar and hydro) in the power mix. In addition, the electrification of vehicles and devices causes greater and more complex energy demand. This puts pressure on the electricity sector to be more flexible in managing power demand and supply. The need for precise predictions becomes increasingly important. 

At the Norwegian Open AI Lab we use machine learning to make more accurate predictions in a highly complex and ever-changing energy market. 

Digital Economy & Finance

Artificial intelligence plays an important role in the larger process of digitizing industry, businesses, and the financial sector. AI can be used to better predict the future development of international financial and business markets; it can improve the efficiency of administration and customer service, making economy and finance more accessible for everyone. At the AI Lab, we work to improve chat bots in Norwegian language in collaboration with our partners. 

 


 

Oceans

Aquaculture and the maritime environment are strategically and financially important areas for Norway. We use AI methods to ensure a sustainable development of these sectors, by preventing loss of biodiversity, improving fish welfare in aquaculture and securing fish farms at sea. 

Projects

 

 


 

Security

Security, safety, privacy, and ethics are crucial dimensions when developing AI systems. 
Security is not limited to an application area, but a central element in all our AI activities. 

Projects

  • RAI - Resource-aware IoT with Enhanced Intelligence and Security  | Stefan Werner

 

 


 

Telcom

This application area includes both the traditional telecommunication sector and modern IoT technology. We apply sensors and wireless connections to create smarter solutions for societies and individuals, by combining AI methods and sensor data. 

Projects

 

 


 

Transport

Artificial intelligence is an important element in developing efficient and safe autonomous vehicles. Our researchers and students work with a variety of vehicles, including cars, ships and drones. Furthermore, AI can contribute to improve traffic management of private and public transportation. 

 


Research projects

Ongoing AI research projects
Abbreviation Project Framework Contact
RAI Resource-aware IoT with Enhanced Intelligence and Security NFR
2018 – 2022
Stefan Werner
SOCRATES Self-Organizing Computational Substrates NFR
2017 – 2022
Gunnar Tufte
AI4EU An AI-on-demand platform for Europe H2020
2019 – 2021
Kerstin Bach
EarlyWarn Proactive detection and early warning of incipient power system faults NFR
2017 – 2021
Heri Ramampiaro
HAWK Machine Learning Models for the Surveillance of Physical Power Markets NFR
2018 – 2021
Heri Ramampiaro
Back-UP Personalised Prognostic Models to Improve Well-being and Return to Work After Neck and Low Back Pain H2020
2018 – 2020
Kerstin Bach
MUSED Multi-Source Event Detection NTNU
2017 – 2020
Heri Ramampiaro
selfBACK A decision support system for self-management of low back pain H2020
2016 – 2020
Agnar Aamodt
CoupledDB High-Performance Indexing for Emerging GPU-Coupled Databases H2020
2017 – 2019
Kjetil Nørvåg
IMPALA Machine learning prognosis for system imbalance volumes NFR
2017 – 2019
Heri Ramampiaro
ExiBiDa Exploring New Dimensions in Big Data NFR
2013 – 2019
Kjetil Nørvåg

SFI centres

AI related research centres from 2015–2023.