The CryoFlask project is developing and demonstrating a technology which will enable significantly extended operational time for downhole logging operations and intervention in deep, supercritical geothermal wells with temperatures reaching 450 °C...
Clean air is a basic necessity for human existence. Poor air quality has accounted for over 4.2 million deaths globally in 2016. As such, there is a need for highly sensitive gas sensors which can be integrated into an early detection system, should...
Innovation project on chatbots in customer service and education
EXIT aims to develop a state-of-the-art, nanotechnologically driven, analytical platform for the isolation of exosomes from bodily fluids, designed to investigate metabolic, proteomic, immunologic and transcriptional changes in Alzheimer’s disease.
Development, piloting, evaluation, and implementation of a new service model for intravenous antibiotic treatment in home hospitals, this is the use of coping and distance-follow technology.
The primary objective of the DroneSAFE project was to develop a professional-quality cinematography solution for action and adventure sports in an affordable, safe, and easy-to-use consumer drone platform.
The project aims to specify and develop the future technologies coming from the CNS domains in order to support and manage the operational services, like the 4D trajectory management, in the future ATM system.
The primary objective for the project is to contribute to increased recovery from the NorwegianContinental Shelf by developing new flow-diagnostic methods that reduce the turnaround time to design andoptimize waterflooding and water-based EOR schemes
Our research focus on risk reduction in autonomous systems by associating Deep Learning (DL) predictions with the inherent model and data uncertainty.