
DataPACT - Compliance by Design of Data/AI Operations and Pipelines
Compliance by Design of Data/AI Operations and Pipelines
Compliance by Design of Data/AI Operations and Pipelines
The project is a nine-year research-based evaluation of the Escalation Plan for Mental Health. The evaluation will provide knowledge about implementation and results and form the basis for adjustments of the plan along the way.
Beefutures, SINTEF and NINA are joining forces to gain insight into bee decline and environmental stressors impacting ecosystem health and biodiversity.
More efficient rail mobility via innovative AI-based methods, by enabling optimized planning of rail replacement services and cost-effective infrastructure investment decisions.
The main objective of RESPOND-SEA is to promote knowledge to improve interaction, collaboration, and coordination between public sectors, administrative levels, and between governmental and non-governmental bodies in the safeguarding of critical...
Norsonic AS, SINTEF and NINA are launching a new project aimed at advancing AI’s ability to understand and recognize of sound. The project is called ROaR (Robust Acoustic Recognition) and is funded by Norsonic AS and the Research Council of Norway.
The aim is to ensure onboard and onshore competence for low emission, efficient and safe operation of Wind-Assisted Propulsion System (WAPS) ships, to enable industry to invest and upscale WAPS.
Our focus is on developing human-centric, inclusive, and sustainable solutions that enable seamless collaboration between AI-driven automation and human skills. Through innovative technologies, such as augmented reality, real-time AI training, and...
The purpose of the research project is to generate new knowledge about how children experience living temporarily outside their parents’ home after a care takeover by the child protection service, both in the short and long term.