Quantum computing is rapidly emerging as a transformative technology for science, industry, and society. With the Q-NRI project, Norway is taking a decisive step to build national competence and infrastructure for the quantum era. SINTEF plays a...
Developing a deep-learning model to automatically detect landslides from satellite images – supporting faster disaster response and safer land-use planning in a changing climate
Selective breeding has proven a promising tool to increase the fecundity in copepods. In SEQOP, SINTEF, NOFIMA and CFEED will assess if selectively bred lines of Acartia tonsa also display genetic alterations.
This is a knowledge base for developing regional policy that will support fisheries, aquaculture, agriculture, forestry and reindeer herding in accessing adequate land and sea space for future development. The report deals with change in land use and...
The project aims at generating and curating a high-quality dataset for air handling unit operation with emulated faults to develop fault detection and diagnosis solutions.
The project aims to generate knowledge and a commercial foundation for biological and economic sustainability through a side stream based on salt salmon sludge.
TiLCA is a spinoff from HEU DigIT (Grant Agreement No. 869529) with a goal to provide insight into environmental performance of mineral concentrates produced at Titania AS through out a complete production year
The AI for General Practitioners-project explores how artificial intelligence can support general practitioners (GPs) in Norway. In the context of the GP crisis, the project investigates how generative language models can improve decision support and...
This evaluation project is part of a larger study on resource utilization in the air ambulance services. For a period of five months in 2024, Emergency Medical Communication Centre (AMK) Sør-Trøndelag has been piloting the presence of an on-site AMK...
The main objective of the project is to develop a non-lethal PCR based assay that can detect and quantify stinging cells in gill mucus swabs and water samples.
The goal of this project is to improve the performance of the OPM Flow reservoir simulator by exploiting GPU acceleration.
The main objective of the project was to develop sandwich panels with a new multilayer technology to ensure low transmission loss at higher frequency bands, while maintaining a self-supporting structure capable of withstanding demanding climatic and...
Development of efficient, robust and environmentally friendly refrigeration systems for small fishing vessels that help reduce food waste, emissions and improve the quality of the catch.
EDGAR – an EU initiative for more efficient and sustainable air traffic. The goal of the EDGAR project is to evolve and validate the DFMC GBAS solution with emphasis on providing safety, availability, and robustness in challenging operational...
In Airspector we are building tools for planning and simulating aerial inspection missions using autonomous drones. Our goal is to make it simple to plan efficient and safe drone paths to inspect any 3D model, to inspect any type of infrastructure in...
We investigated the use of machine learning for automatic detection of defects in battery electrodes.
The goal is to design and demonstrate safe and effective connection of an emergency towing line for ships without an IMO requirement for onboard emergency towing system.
We will explore how social AI can enhance coping skills and quality of life for youth (16-20 years), while addressing privacy and misinformation, to provide concrete recommendations for improving digital support services.