Seminar: Aurora - A Foundation Model of the Atmosphere
Event Details:
- Date: Tuesday, 2 July 2024
- Time: Starts: 13:00
- Venue: This seminar is held as a hybrid event. You are welcome to join us at the John Ioannides Auditorium, Fresnel Building, The Cyprus Institute.
Otherwise please, connect to our live stream of the discussion, available on Zoom (Password: VsSCz1) - Speaker: Assoc. Prof. Paris Perdikaris, University of Pennsylvania
CaSToRC, the HPC National Competence Centre,
invites you to the EuroCC-2 Seminar Series
Abstract
Deep learning foundation models are revolutionizing many facets of science by leveraging vast amounts of data to learn general-purpose representations that can be adapted to tackle diverse downstream tasks. Foundation models hold the promise to also transform our ability to model our planet and its subsystems by exploiting the vast expanse of Earth system data.
Here we introduce Aurora, a large-scale foundation model of the atmosphere trained on over a million hours of diverse weather and climate data. Aurora leverages the strengths of the foundation modelling approach to produce operational forecasts for a wide variety of atmospheric prediction problems, including those with limited training data, heterogeneous variables, and extreme events. In under a minute, Aurora produces 5-day global air pollution predictions and 10-day high-resolution weather forecasts that outperform state-of-the-art classical simulation tools and the best specialized deep learning models. Taken together, these results indicate that foundation models can transform environmental forecasting.
* joint work with: Cristian Bodnar, Wessel P. Bruinsma, Megan Stanley, Ana Lucic, Richard E. Turner (Microsoft Research AI for Science)
About the Speaker
Paris Perdikaris is an Associate Professor of Mechanical Engineering and Applied Mechanics at the University of Pennsylvania and a Principal Researcher Manager at Microsoft Research AI4Science.
He received his Ph.D. in Applied Mathematics from Brown University (2015), and worked as a postdoctoral researcher at the Massachusetts Institute of Technology (2015-2017).
About the EuroCC-2 project
EuroCC 2 will work to identify and address the skills gaps in the European High Performance Computing (HPC) ecosystem and coordinate cooperation across Europe to ensure a consistent skills base.
The role of EuroCC 2 is to establish and run a network of more than 30 NCCs across the EuroHPC Participating States. The NCCs act as single points of access in each country between stakeholders and national and EuroHPC systems. They operate on a regional and national level to liaise with local communities, in particular SMEs, map HPC competencies and facilitate access to European HPC resources for users from the private and public sector.
EuroCC 2 delivers training, interacts with industry, develops competence mapping and communication materials and activities, and supports the adoption of HPC services in other related fields, such as quantum computing, artificial intelligence (AI), high performance data analytics (HPDA) to expand the HPC user base.
This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903. The JU receives support from the European Union’s programme Digital Europe and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg , Slovakia, Norway, Switzerland, Turkey, the Republic of North Macedonia, Iceland, Montenegro and Serbia.
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Additional Info
- Date: Tuesday, 2 July 2024
- Time: Starts: 13:00
- Speaker: Assoc. Prof. Paris Perdikaris, University of Pennsylvania
