SINTEF projects

Enabling Maritime Digitalization by extreme-scale Analytics, AI and Digital Twins

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...

Batteries play an important role in our daily lives, powering smart phones, computers, and cars. As the world races to reduce CO₂ emissions, the development of sustainable and high-performance batteries takes on an even more important role enabling...

Geophysical mapping and monitoring of natural hazards using multi-purpose UAVs.

The objective of PRAI is to develop a hybrid VIV response prediction model combined of physics-based numerical models and data-driven machine learning methods.

The vision for this project is to develop a fully digital process for inspection of indoor industrial assets based on an intelligent, tethered drone system that eliminates the need for human entry to confined and often dangerous spaces. The system...

Optimal Route Planning (ORP) aims to develop optimization-based algorithms and tools to support a smoother, future-oriented train timetabling process. The ORP Prototype is the first phase of this ambitious project, where a prototype is developed and...

The primary goal of the project is to develop a sensor suite and algorithms that will enable the detection and classification of critical faults – those that can cause power outages – even in poor visibility conditions.

Develop an intelligent, portable ultrasound device to enhance medical diagnostics for healthcare professionals.

SINTEF’s new planning tool for arrivals and departures enables 5.1 per cent increased runway capacity and improves the predictability of flights by 60.8 per cent.

The intelligent decision-making process for hydro scheduling

The OntoTrans project responds to the need of industry to respond to manufacturing challenges more efficiently by accessing the relevant information and utilising materials modelling more effectively. In particular, there is a need to strengthen the...

Explainable AI for improved autonomous vehicles.

ARTISAN aims to improve autonomous ship navigation and thereby contribute to more efficient and competitive ship operations while reducing the vessels’ environmental impact.

We aim to develop technology that makes the most of bioacoustics recordings. Our focus is on understanding ecosystems and their inhabitants, as well as assessing the impact of restoration efforts and human activity.

KoBas aims to develop predictive models for volume and price in the regulating power market, with associated outcomes. Predictions in these markets will create value, both on their own and in combination with existing decision support tools.