Supercomputer helps to decrease sound pollution
High-resolution simulations on SURF’s Snellius supercomputer are modelling aeroacoustic noise to help engineers design quieter aircraft, drones and turbines.
High-resolution simulations on SURF’s Snellius supercomputer are modelling aeroacoustic noise to help engineers design quieter aircraft, drones and turbines.
Improved weather forecasts for wind and solar energy are being developed using AI and supercomputing, with support from Denmark’s NREN DeiC.
DigiFarm used CSC’s LUMI supercomputer to run AI and data models for agriculture, helping optimise resource use and improve crop yield and efficiency.
SURF’s Green Village Data Platform brings real-time sensor data together for sustainability experiments at TU Delft’s living lab, enabling collaboration and practical innovation.
Moldova’s NREN RENAM enabled a national digital colposcopy network that uses telemedicine to expand cervical cancer screening access across regional hospitals.
Finland’s nationally developed EXAM system lets students choose when and where to take university exams, reducing stress and expanding access across institutions.
Projects showcased at InnovaInvest used Copernicus satellite data to help farmers and communities reduce climate risk, improve crop outcomes and guide decision-making.
Finland’s NaQCl.fi project tested quantum key distribution over live networks, with the Finnish NREN CSC exploring future-ready secure communications.
A European collaboration using ultrasound tomography and DFN’s X-WiN network aims to develop radiation-free breast cancer screenings that better detect tumours, especially in dense tissue.
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