AI based analytics of dental images
The main idea of the AI-Dentify project is to develop, test and validate a novel software to be commercialized by Boneprox AS as a service platform, which is scalable to the global market. The solution will make it easy for the dental industry worldwide to use this as a complete solution on an everyday basis for decision support in oral disease diagnostics.
The goal of the project is contribute to the design and development of an automated system for anode change operations in the aluminium smelting industry.
FME NorthWind (Norwegian Research Centre on Wind Energy) will bring forward outstanding research and innovation to create jobs and grow exports, and to facilitate the sustainable development of wind power.
Gemini Centre Sustainability Transitions
The sustainability transitions research field addresses the complex transformation processes needed for key societal services (energy, transport/mobility, food, housing, water/sanitation) to be provided more sustainably.
ML4ITS – Machine Learning for Irregular Time Series
The goal of this project is to overcome the issue of limited available or labelled data for (multivariate) time series modelling, where heterogeneity of the data as well as noise, pose further challenges. ML4ITS’s main objective is to advance the state-of-the-art in time series analysis for “irregular” time series.
Smart Journey Mining: Towards successful digitalisation of services
The digitalisation of our society's service systems has fundamentally changed the way services are delivered to, and experienced by, humans. The overall goal is to increase the quality of services and support the successful digitalisation of services by uniting research on process mining and customer journeys using new developments in logic-based analysis and artificial intelligence.
SMILE – Providing digitalised prevention and prediction support for ageing people in smart living environments
The main aim of SMILE is to create SMart Inclusive Living Environments (SLE) with novel eHealth solutions that enable ageing in place. Specifically, the SLE ecosystem will provide an infrastructure, that not only supports older people to live independently and relatively actively, but also fosters collaboration and learning between older people and members of their circles of care.