
Safe and Sustainable Development of an AI Chatbot for German Primary Care
This project explores responsible AI use in German general practice, through co-developing a chatbot linked to Deximed - based on a Norwegian medical platform.
This project explores responsible AI use in German general practice, through co-developing a chatbot linked to Deximed - based on a Norwegian medical platform.
Our aim is to develop a next-generation diagnostic device that can detect carbapenemase-producing bacteria directly from patient samples - such as blood, urine, or swabs - in under 15 minutes, without the need for time-consuming lab cultures.
Optimizing Yard Operations (OYO) will provide innovative technology that incorporates optimization algorithms for planning resource-efficient stabling and shunting in train yards.
Healthcare researchers at SINTEF will conduct a research project for the Program for Urban Research (KS), with Stavanger Municipality as the project owner. The purpose of the project is to shed light on the challenges in mental health and substance...
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.
More efficient rail mobility via innovative AI-based methods, by enabling optimized planning of rail replacement services and cost-effective infrastructure investment decisions.
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.
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...