Projects
The goal of EuCanImage is to build a highly secure, federated and large-scale European cancer imaging platform, with capabilities that will greatly enhance the potential of artificial intelligence (AI) in oncology. Firstly, the EuCanImage platform will be populated with a completely new data resource totaling over 25,000 single subjects, which will allow to investigate unmet...
EuroCC Spain RES aims at creating a National Competence Center (NCC) in HPC in Spain, capable of providing a broad portfolio of HPC, Big Data and Artificial Intelligence services tailored to the needs of industry (with a special focus on SMEs), academia and public administrations.
This new Spanish NCC...
SoBigData++ strives to deliver a distributed, Pan-European, multi-disciplinary research infrastructure for big social data analytics, coupled with the consolidation of a cross-disciplinary European research community, aimed at using social mining and big data to understand the complexity of our contemporary, globally-interconnected society. SoBigData++ is set to advance on...
Existing HW/SW platforms for safety-critical systems suffer from limited performance and/or from lack flexibility due to building on specific proprietary components, which jeopardize their wide deployment across domains. While some research attempts have been done to overcome some of these limitations, their degree of success has been low due to missing flexibility and...
The DeepLIM study has two technical goals:
- understanding, developing and exploiting the use of Generative Artificial Intelligence to improve and augment datasets acquired via observation campaigns, or generated by computationally intensive models.
- improving the state of the art models that are in use to perform Inversion Modelling with the use of Deep...
The most significant challenge in applied fluid dynamics (covering aerospace, energy and propulsion, automotive, maritime industries, chemical process industries) is posed by the insufficient understanding of turbulence-dependent features and laminarto-turbulent transition. As a consequence, the design and analysis of industrial equipment cannot be relied upon to accurately...
Artificial Intelligence is a disruptive technology of our time with expected impacts that rival those of electricity or printing. Resources for innovation are currently dominated by giant tech companies in North America and China. To ensure European independence and leadership, it is important to invest wisely by bundling, connecting and opening European AI resources.
The interaction between High-Performance computing (HPC) and Artificial Intelligence (AI) is creating a new horizon: "High-Performance Artificial Intelligence" (HPAI) that is fueling the growth of platforms, applications and products empowered by AI. Although AI is not a new field of research, recent advances in HPC have given AI the necessary tools to become a game changing...
The biggest challenge in understanding the brain is being able to understand how its different levels of organisation relate to each other,hierarchically, spatially and temporally. This means identifying how genetic, molecular and cellular principles of organisation are translated intobrain activity, cognition and behaviour. It also involves deciphering how behaviour, disease...