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Тitle |
How to train your AI models in EOSC |
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Date and Time |
Wednesday, 1st December 2021 |14:00 -15:30 PM CET |
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Description |
You will learn how you can train and develop AI models in EOSC using the distributed and federated computing infrastructure of EGI and the services developed during the Deep Hybrid Datacloud project. |
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Agenda |
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Speaker Ignacio Heredia Researcher, Institute of Physics of Cantabria (IFCA) |
Ignacio is a researcher at the Institute of Physics of Cantabria (IFCA) developing Deep Learning tools for a wide range of applications. The topics he worked with in the past include automatic plant classification, climate change forecasts, biodiversity monitoring, satellite super-resolution, audio classification, COVID-19 spreading prediction, event classification in the CMS experiment (High Energy Physics) and Dark Matter searches in DAMIC-M. He also teaches at the official Master degree in Data Science of the Universidad Internacional Menéndez Pelayo (UIMP). |
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Álvaro López García Research associate, The Spanish National Research Council (CSIC) |
Alvaro holds a PhD in Science, Technology and Computing from the University of Cantabria (UC). He was a visiting researcher at the IN2P3/CNRS Computing Center in Lyon, France and a research associate at the Italian National Institute for Nuclear Physics (INFN). He is also an assistant professor at the UC, teaching several Computer's Architecture subjects, as well as professor at the official Master degree in Data Science of the Universidad Internacional Menéndez Pelayo (UIMP). He has taken part in several national and EU FP7 and H2020 projects such as EGEE-II/III, Int.Eu.Grid, EUFORIA, EGI‐InSPIRE, EGI-Engage (task leader for the Federated Cloud JRA), INDIGO-DataCloud (task leader for the Cloud Computing Virtualization JRA, Technical Board member), AARC-II and coordinator of the EU H2020 DEEP-Hybrid-DataCloud project. He is currently participating in the EU H2020 EOSC-Hub and EOSC-Synergy projects. |
