EuroCC & Castiel Joint conference
Second joint conference EuroCC & Castiel took place on June 22 – 23, 2021. The two-day online event was attended by 140+ representatives and members of all National Competence Centres. The programme of the conference focused on the upcoming 1st year reports and a review process that will take place in October 2021.
Administrative issues were addressed by the Project Management Team and representatives from the Castiel working groups presented progress in their respective areas: competence mapping, training, twinning&mentoring, industrial interactions and business development and communication & outreach. An update from the EuroHPC JU was presented, as well. On the second day the participants learned more about the FF4EuroHPC open call.
Most importantly, the joint conference was an opportunity for all NCCs to present their progress in the first 9 months of the EuroCC project implementation, from their initial status to goals achieved and the future outlook.
10th International Conference on Polymer Materials in the Automotive Industry – PMA 2025 and the 26th Slovak Rubber Conference 1 Jun - V dňoch 21. – 23. mája 2025 sa na Smolenickom zámku konala prestížna vedecká konferencia PMA & SRC 2025, zameraná na polymérne materiály v automobilovom priemysle a kaučukársky výskum. Na podujatí vystúpila aj Lucia Malíčková z Národného superpočítačového centra (NSCC Slovakia) a Národného kompetenčného centra pre vysokovýkonné počítanie (NCC for HPC).
Recording of the Webinar: Use of HPC at the Slovak Hydrometeorological Institute 31 May - Thank you to everyone who attended the expert online lecture Use of HPC at the Slovak Hydrometeorological Institute, led by Mgr. Mária Derková, PhD., from the Slovak Hydrometeorological Institute.
Slovak Language in the Era of Large Language Models (with the Support of the Leonardo Supercomputer) 29 May - Srdečne vás pozývame na spoločný webinár o modelovaní jazyka, ktorý organizujú Národné kompetenčné centrá pre HPC na Slovensku a v Taliansku. Nástup veľkých jazykových modelov (LLM), ktoré si vyžadujú obrovské množstvo trénovacích dát, pôvodne znevýhodňoval používateľov málo zastúpených jazykov.