The TESTUDO project aims to use state-of-the-art technologies for detection, prevention, and prediction to develop an advanced platform for continuous Critical Infrastructure monitoring in harsh and remote areas.
THEMIS 5.0 is a European research and innovation project aimed to enable trustworthy AI. Specifically, to enhance trustworthiness of AI-driven decision support systems, where AI collaborates with human experts – in healthcare, logistics, and media...
The ENFIELD project will establish a unique European Centre of Excellence that excels in fundamental research in Adaptive, Green, Human-Centric, and Trustworthy Artificial Intelligence (AI).
We explore the potential of quantum computing in solving optimization challenges in the defense sector, collaborating with NeQst to exchange methods.
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...
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...
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.
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.
The collaborative project AMBIOS aims to develop the world's first fully autonomous platform for multi-layer mapping of biodiversity in the marine space and validate it on selected use cases in Mid-Norway.
The volume of the placenta can say something about the risk of complications during pregnancy, but there are today no effective methods for measuring this volume. In RAMPUS 2 we will develop such a method.
The IPN project TechDebtOps aims to explore the possibilities of managing technical debt continuously through a data-driven approach, ensuring the sustainable development of software and services for the future.
An AI-based Holistic Dynamic Framework for a safe Drone’s Operations in restricted and urban areas.
The Autoport project aims to improve the efficiency of small-sized ports by using AI and OR to automate and optimize cargo handling processes.
BOB is a safer and more cost-efficient digital process for railway asset inspection and interaction, based on a lightweight robot system that is capable of railway travel. The system will reduce the need for humans in the dangerous areas of railways...
The project aims to address the need for flexible and efficient manufacturing that produces zero waste and high-quality products.
ENTRUST project aims to tackle the lack of cybersecurity implementations in connected medical devices (CMDs) without limiting their applicability.
Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe