Projectes

The expected growth of both on and offshore wind energy is enormous and many new wind parks are planned for the coming years. Experience from the existing wind farms shows the importance of a proper micrositing of the wind turbines as well their efficient interconnection within the farm. In addition, bringing wind farms together into clusters toward a wind power plant concept...

SMARTY invokes a cloud-edge continuum made from heterogeneous systems that protect data-in-transit and data-in-process in order to offer a trustful fabric to run AI processes. The securitization occurs by employing novel accelerators for quantum resilient communications, confidential computing, software defined perimeters and swarm formation, offering multiple layers of...

The EdgeAI-Trust project aims to develop and implement decentralized Edge AI technologies to address key challenges facing Europe'sindustrial and societal sectors, such as energy efficiency, system complexity, and sustainability. By developing trustworthy domain independent collaborative AI architectures and HW/SW edge AI technologies, the project will promote large-scale...

As the world is edging closer to the 1.5 degrees planetary boundary and is failing to adequately cut greenhouse gas emissions, societal actors from all sectors and scales are requested to rapidly devise adequate responses to ensure a liveable future. However, there is a recognised usability gap in climate science, which makes that despite having better quality data, this data...

A number of European leading Research Organizations (referred as RTOs hereafter) and research supporting organizations, with a long history of scientific and technology collaboration with Japan, are building a consortium for a proposal focusing on the development of joint High Performance Computing (HPC) applications for future generations of supercomputing...

The number and diversity of embedded FPGA SoC (System On Chip) in modern satellites is increasing and so it is the complexity and cost to use them efficiently and safely. With the emergence of these platforms, software architects and developers are facing increasingly difficult challenges to (i) optimize the deployment of software to efficiently use the available resources,...

This three (3) year research project is for the development of a high performance, open source RISC-V-based hardware and software platform for Level 4 autonomous driving. The research will be performed gradually, with the first year focusing on the implementation of a functional, hardware demonstrator of the platform on an FPGA, as well as its baseline software stack. In...

The key element to ensure efficient use of HPC infrastructures is to optimize the performance and efficiency of the applications.The Centre of Excellence on Performance Optimization and Productivity (POP CoE, www.pop-coe.eu) was initiated in October 2015with the fundamental purpose of assisting a broad community of HPC application developers and users in both science and...

ELOQUENCE is focused on the research and development of innovative technologies for collaborative voice/chat bots.

Voice assistant-powered dialogue engines have previously been deployed in a number of commercial and governmental technological pipelines, with a diverse level of complexity. In our concept, such a complexity can be understood as a problem...

Training of European HPC users is of utmost importance to maximise the exploitation of the highly ambitious investments in research and infrastructure of the EuroHPC JU roadmap.

The HPC SPECTRA project will address two timely challenges of EuroHPC JUs training strategy: developing an innovative EuroHPC Training Platform and co-organising the...