
VesselAI - Enabling Maritime Digitalization by extreme-scale Analytics, AI and Digital Twins
Enabling Maritime Digitalization by extreme-scale Analytics, AI and Digital Twins
Enabling Maritime Digitalization by extreme-scale Analytics, AI and Digital Twins
The purpose of the research project is to investigate whether children and young people in child welfare services receive necessary health care, and to identify important barriers to health care. The project will contribute so that child welfare...
The aim of the project is to contribute with analysis of the users of the long-term care services in Bærum municipality, and to project the future need for long term care services.
The aim of this research project is to study and quantify the relationship between increased life expectancy and the future needs for health and care services.
Norway has a strong maritime industry based on deep technical knowledge, exceptional quality, strong customer connections and efficient work processes. Over the last few years, the maritime industry is looking to boost its profitability and explore...
GRAPES is a Marie Skłodowska-Curie ITN/ETN that aims at considerably advancing the state of the art in Mathematics, Computer-Aided Design, and Machine Learning in order to promote game changing approaches for generating, optimising, and learning 3D...
In the ETAPAS project, we develop a framework for responsible disruptive technology development and uptake in the public sector. Together with Prokom, SINTEF apply the framework to explore and assess the social and ethical implications of...
The InterQ European project aims to provide a full control of the quality of industrial manufacturing processes and equipment, moving towards zero defect manufacturing, which is a key challenge in strategic economic sectors, such as aeronautics...
In the project, we will develop and implement a new research-based education offer in digital security. We will emphasize work relevance and proximity to the field of practice, so that the subject provides value in the candidates' everyday work.