Learn how you can train and develop AI models in EOSC using distributed and federated computing infrastructure of EGI and the services developed during Deep Hybrid DataCloud project.
The webinar, sponsored by the EGI-ACE project, covers:
- How to prototype, build and train AI applications exploiting resources from EU e-infrastructures.
- Use and share AI trained models developed by other researchers (from and outside your communities) with the DEEP Marketplace.
Target audience
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User communities that want to use GPUs in Clouds.
Agenda
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45m of introduction to the DEEP dev environment, training, DEEPaaS, etc.
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15m of Q&A
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Additional 30m of technical discussion with the audience
Speakers
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Ignacio Heredia Researcher at the Institute of Physics of Cantabria (IFCA) |
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Álvaro López García Research associate at the Spanish National Research Council (CSIC) |
Mr Ignacio Heredia holds a BSc in Physics from the Universidad Autónoma de Madrid and MSc in Statistical Physics from the Université Pierre et Marie Curie (Paris). He 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).
Dr Alvaro Lopez Garcia is a research associate at the Spanish National Research Council (CSIC). He 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.
EGI Foundation
