Projects

Showing 11 - 20 results of 114

The vision of CREXDATA is to develop a generic platform for real-time critical situation management including flexible action planning and agile decision-making on streaming data of extreme scale and complexity. CREXDATA develops the algorithmic apparatus, software architecturesand tools for federated predictive analytics and forecasting under uncertainty. The envisioned...

Life Science is turning into a data-driven and HPC dependent research field. BioTeam/Hyperion s 2022 estimates show that 95% of Life Science projects are being dependent on HPC. The rapid response to Covid-19 showed how an EU collaboration between pharma industry, Life Science researchers and supercomputing centres resulted in several newly identified hits now undergoing...

The MultiXscale Centre of Excellence will increase performance, productivity and portability (the Three P's) across the entire spectrum of scientists active in the domain of multiscale simulation. It couples the scientific expertise of the CECAM network, represented by leading experts in multiscale simulations from different European institutions, with the technical expertise...

Plasma science has been at the forefront of HPC for several decades, driving and, at the same time, benefiting greatly from innovative hardware and software developments. The overall goal of Plasma-PEPSC is to take this development to the next level, enabling scientific breakthroughs in plasma science Grand Challenges through exascale computing and extreme-scale data...

Keeping in mind the potential opportunities, risks and limitations offered by Artificial Intelligence (AI), AI4CCAM will develop an open environment for integrating trustworthy-by-design AI models of vulnerable road user behaviour anticipation in urban traffic conditions to ensure improved road safety and user acceptance.

Leveraging the Trustworthy AI...

The EERIE answers Horizon Europe call: HORIZON-CL5-2022-D1-02-02: Development of high-resolution Earth system models for global and regional climate change projections.

The project uses four European global climate models to produce new simulations of past and future climate. The representation of ocean...

The growing need to transfer massive amounts of data among multitudes of interconnected devices for e.g., self-driving vehicles, IoTor industry 4.0 has led to a quest towards low-power and secure approaches to locally processing data. Neuromorphic computing, a brain-inspired approach, addresses this need by radically changing the processing of information. Although...

Forest fires caused over 54 billion in economic losses in Europe between 2000 and 2017. Spain is one of Europe s most impacted countries with 219 large fires between 2011 and 2020 and damages worth 525 million. These numbers are inevitably bound to rise given the economic growth outlook, expected rise in population, and forecasted climate change impact. The current...

SAFLOW proposes a combined numerical and experimental strategy to investigate the emission characteristics and combustion performance of SAF considering different blends with the reference Jet A1 fuel in fundamental facilities both at atmospheric andpressurized conditions. The scientific and technological complexity of the investigated thermal and fluid dynamic problem,...

The GLObal digital twin for RegIonal and local climate Adaptation (GLORIA) proposal is motivated by three challenges identified in the last few years that affect climate modelling for adaptation and mitigation:

1) climate simulations are increasingly demanded but are expensive experiments in terms of computing resources, data storage and human...

Pages