Marine rest raw material constitutes an important value-creating resource in the Norwegian fisheries and aquaculture industry. Today, the majority is brought to shore and taken care of in a good way, but the potential for increased utilization rate...
In the ATAM project we will build collaboration between the partners and develop and demonstrate AI-based methods for automated planning and acting – AI planning – in autonomous multi-robot operations needed for the defence sector and for...
By merging competences of metocean, wave hydrodynamics, and structural dynamics, the B -WAVES-project will gain new knowledge on the extreme waves and wave loads that bottom fixed offshore wind turbines experience during its lifetime.
Establish the knowledge basis and methodologies necessary for developing a socio-economically favourable and robust coupled offshore and onshore grid.
The PERTINENCE project is dedicated to transferring knowledge and results in the field of physics-informed AI, which combines traditional physics-based modeling methods with AI approaches, from ongoing research in civilian application to defense...
Ammonia (NH3) has intrinsic risks due to toxicity and flammability.
The project will identify the global food industry needs, considering emerging processing technologies, such as high pressure processing, membrane processing, pulsed electric field and ultrasound.
The PlastiSpread project studies the role of the microbial community in biofilms associated with marine plastics, and how they are influenced by variations in urban WW discharges.
We will enable medical imaging in remote areas by using artificial intelligence to guide ultrasound in real-time. Thereby improving remote health care services and its environmental and economic sustainability.
The aim of the project is to generate knowledge on barriers and facilitators for successful transitions and pathways for young unemployed people with reduced work capacity.
OpenMod4Africa aims at developing sustainable and reliable energy systems in Africa, and is set to make a significant impact on the continent's energy landscape.
By combining machine learning and physics-based modelling, we can get the best from both worlds – in models that utilize the information that lies in the data while respecting the laws of nature.
How can we make autonomous underwater robotic intervention more robust by understanding and utilizing the uncertainty involved in the sensing-perception-manipulation pipeline? This is the topic for the SAFESUB project.
We will find the best solutions to extend the service life of existing concrete structures.
This project aims to adapt the new noise estimation methodology to Norway's unique conditions, by using large amounts of unmanned measurements and machine learning.
This project sheds light on UngRehab, a residential intervention aimed at young adults (18-30 years old) at risk of falling outside the workforce. The goal is to explore participants' experiences with UngRehab to identify effective methods and areas...
Project development for active control of thermochemical transformations of regional biomass resources with improved quality of produced energy and increase of European climate neutrality.
Providing methodology for tracing the origin of salmon lice larvae