The MICROCARD project sought to develop an advanced exascale platform for simulating cardiac electrophysiology, enhancing our understanding of arrhythmias in complex biological tissues through high-resolution and cell-by-cell simulations.
The eFlows4HPC project aimed to seamlessly integrate HPC simulation with big data and machine learning, enhancing workflow efficiency and sustainability in scientific and industrial applications.
The REGALE project focused on defining an open architecture to optimise resource utilisation in exascale supercomputing systems, aiming for improved performance and energy efficiency in next-generation HPC.
The ACROSS project has successfully developed a cutting-edge platform merging High-Performance Computing (HPC), Big Data, and AI. This ambitious project targeted advancements in aeronautics, climate research and energy sectors.
Many breakthroughs in speed and accuracy of single image super-resolution (SISR) have been achieved. One of the biggest challenges is how to recover finer texture details when super-resolution is applied …
Številni preboji na področju hitrosti in natančnosti super-resolucije posameznih slik (ang. single image super-resolution, SISR) so bili že doseženi. Eden od največjih še nerešenih izzivov je, kako obnoviti fine teksturne podrobnosti pri uporabi super-resolucije z velikimi faktorji povečanja.
S pomočjo programov financiranja in aktivnosti na področju raziskav in razvoja (R&D) lahko industrija dvigne nivo inovativnosti in konkurenčnosti. Trenutne možnosti financiranja za industrijo: Javni posvet Evropske komisije (EC): Javno …
Nacionalni kompetenčni center SLING je bil vzpostavljen v okviru projekta »Nacionalni kompetenčni centri v okviru EuroHPC« – EuroCC in s svojimi aktivnostmi nadaljuje v projektu EuroCC 2. V nacionalnem kompetenčnem …
S pomočjo programov financiranja in aktivnosti na področju raziskav in razvoja (R&D) lahko industrija dvigne nivo inovativnosti in konkurenčnosti. Trenutne možnosti financiranja za industrijo: Javni posvet Evropske komisije (EC): Javno …
