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SUMMARY:AI for Science Bootcamp
DESCRIPTION:Register\n\n\n\n\n\n\nSummary\n\n\n\nHow can one use AI and especially deep learning in differential equations in order to train modells of physical systems? \n\n\n\nThe AI for Science Bootcamp provides a step-by-step overview of the fundamentals of deep neural networks and walks attendees through the hands-on experience of building and improving deep learning models for applications related to scientific computing and physical systems defined by differential equations.  \n\n\n\nThe material will cover more advanced topics\, such as physics-informed neural networks (PINNs) and operator learning and make use of tools like NVIDIA Modulus to develop and train the models. Furthermore\, this online bootcamp is a hands-on learning experience where we will guide you through step-by-step instructions with teaching assistants on hand to help throughout. \n\n\n\nPrerequisites\n\n\n\n\nBasic experience with Python and PyTorch. \n\n\n\nWe recommend basic knowledge of neural networks.\n\n\n\nNo GPU programming experience is required\n\n\n\n\nDisclaimer\n\n\n\nDue to EuroCC2 regulations\, we cannot except generic or private email addresses. Please use your official university or company email address. \n\n\n\nThis training is intended for users established in the European Union or a country associated with Horizon 2020. You can read more about the countries associated with Horizon2020 here https://ec.europa.eu/info/research-and-innovation/statistics/framework-programme-facts-and-figures/horizon-2020-country-profiles_e \n\n\n\nComputing resources\n\n\n\nAttendees will have the opportunity to access a GPU cluster for the duration of the bootcamp.  \n\n\n\nAgenda\n\n\n\nMonday 24 June 2024 \n\n\n\n\n\n\n	Time (CET)Topic\n\n\n\n\n	11:00–12:00Cluster Dry Run Session\n\n\n\n\n\n\nTuesday 25 June 2024 \n\n\n\n\n\n\n	Time (CET)Topic\n\n\n\n\n	09:00–09:15Welcome\n\n\n	09:15–09:30Connecting to a cluster\n\n\n	10:00–12:00Physics-Informed approach to an AI for Scientific application (Lecture and Lab)\n• Lab 1: Simulating Projectile Motion\n• Lab 2: Steady State Diffusion in a Composite Bar using PINNs\n\n\n	12:00-12:30Wrap up and Q&A\n\n\n	12:30-13:30LLM Projects Discussion (Optional)\n\n\n\n\n\n\nWednesday 26 June 2024 \n\n\n\n\n\n\n	Time (CET)Topic\n\n\n\n\n	09:00–10:30Physics-Informed approach to an AI for Scientific application (Lecture and Lab)\n• Lab 3: Forecasting weather using Navier-Stokes PDE\n• Lab 4: Spring mass problem – Solving transient problems and \ninverse problems (Optional)\n\n\n	10:30–12:15Data-driven approach to an AI for Scientific application. (Lecture and Lab)\n• Lab 1 : Solving the Darcy-Flow problem using FNO\n• Lab 2: Solving the Darcy-Flow problem using AFNO\n• Lab 3: Forecasting weather using FourCastNet\n\n\n	12:15–12:30Wrap up and Q&A\n\n\n	12:30-13:30LLM Projects Discussion (Optional)\n\n\n\n\n\n\nOrganisers\n\n\n\nThe organisers of the AI for Science Bootcamp are ENCCS\, the High-Performance Computing Center Stuttgart (HLRS)\, Jülich Supercomputing Centre (JSC)\, Leibniz Supercomputing Centre (LRZ)\, Vienna Scientific Cluster (VSC)\, University of Donja Gorica\, OpenACC organization\, and NVIDIA for EuroCC Austria\, EuroCC@GCS\, EuroCC Montenegro\, and EuroCC Sweden\, all National Competence Centres for High-Performance Computing. \n\n\n\nRegistration\n\n\n\nPlease register using this link https://www.openhackathons.org/s/siteevent/a0C5e000008AbEaEAK/se000315 Application Deadline:May 14\, 2024
URL:https://enccs.se/events/ai-for-science-bootcamp/
LOCATION:Online
CATEGORIES:Collaboration Event,ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2023/12/AI-for-science.jpg
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