EoCoE Summer School
The Energy-Oriented Center of Excellence (EoCoE) organizes Summer School on June 6-8, which will be hosted remotely..
This two-day event will include in-depths training on the flagship EoCoE codes and solvers, which focus on HPC simulations applied to energy domains, are designed and optimized to run on the latest iteration of European pre-exascale machines, and will ultimately be scaled to the upcoming exascale systems. It will allow you to test your mastery of these codes on the EoCoE Software as a Service Portal, using the computing resources of the Poznan Supercomputing and Networking Center (PSNC).
Team of brilliant researchers, from several prominent European research centers, will host the training sessions and supervise your work.
A strong participation to the EoCoE school will be rewarded with several awards, including money prize, books, full expenses for three-day trips to Naples to join our project’s members for our final consortium meeting in Naples at the end of June, for up to six participants.
This school is a unique opportunity for participants to meet with leading researchers and experts, to try their hand at top domain codes, and to develop their network. We hope many of you will join us for this milestone event, which will conclude the second phase of the EoCoE project with a bang!
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Success story: The Future of Soil Hidden in Data 5 Nov - High-Performance Computing (HPC) offers researchers the ability to process enormous volumes of data and uncover connections that would otherwise remain hidden. Today, it is no longer just a tool for technical disciplines – it is increasingly valuable in social and environmental research as well. A great example is a project that harnessed the power of HPC to gain deeper insight into the relationship between humans, soil, and the landscape.
AI-Driven Archaeology with LLMs — Detecting Archaeological Sites from Aerial Imagery 30 Oct - Objavte, ako umelá inteligencia a veľké jazykové modely menia spôsob, akým odhaľujeme stopy minulosti. Webinár priblíži, ako pokročilé techniky umelej inteligencie inšpirované LLM dokážu analyzovať letecké a LiDARové snímky a detegovať archeologické lokality s bezprecedentnou presnosťou. Dr. Daniel Canedo z Univerzity v Aveire predstaví praktické príklady, v ktorých Vision Transformers a multimodálne učenie odhaľujú skryté vzory v krajine a spájajú moderné technológie s kultúrnym dedičstvom.