Research areas – AI lab
Our research efforts within health and medicine aim to better predict potential health risks and create personalized treatment. By improving and innovating health tecnhology we can contribute to increasing the preciseness and efficiency of medical treatments and reducing public costs.
- selfBACK | Kerstin Bach
- Back-UP | Kerstin Bach
- InMotion: Prediction of Celebral Palsy in infants | Heri Ramampiaro
- My Digital Twin | Frank Lindseth
The transition to a more sustainable energy production requires an increased share of electricity from renewable energy 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.
- HAWK - Machine learning models for the surveillance of physical power markets | Heri Ramampiaro
- EarlyWarn - Proactive detection and early warning og incipient power system faults | Heri Ramampiaro
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 Norwegian Open AI Lab, we work to improve chat bots in Norwegian language in collaboration with our partners.
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.
- SFI Centre for Exposed Aquaculture Operations (EXPOSED) | Agnar Aamod
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.
Artificial intelligence is an important element in developing efficient and safe autonomous vehicles. Furthermore, AI can contribute to improve traffic management of private and public transportation.
Our researchers and students work with a variety of vehicles, including cars, ships and drones.