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SUMMARY:SciML GPU Bootcamp
DESCRIPTION:Welcome to this SciML GPU Bootcamp! This online event will take place during two half-days on 21-22 February 2023 and is designed to teach researchers and engineers how scientific machine learning (SciML) can address domain-specific data challenges and extract insights from scientific datasets. The Bootcamp is co-organised by ENCCS\, OpenACC.org and NVIDIA. \nSciML is an emerging multidisciplinary field which includes elements from applied and computational mathematics\, computer science and the physical sciences. In particular\, physics-informed neural networks (PINNs)\, a class of Deep Learning (DL) networks\, can be applied to scientific applications solving linear and non-linear equations with demanding accuracy and computational performance requirements. PINNs are specifically designed to integrate scientific computing equations\, such as Ordinary Differential Equations (ODE)\, Partial Differential Equations (PDE)\, non-linear and integral-differential equations into the DL network training. \nThis bootcamp introduces SciML with PINNs and gives participants a hands-on experience with working on a PDE solver NVIDIA Modulus\, a neural network framework that blends the power of physics in the form of governing PDEs with data to build high-fidelity\, parameterized surrogate models with near-real-time latency. You will be guided through step-by-step instructions with teaching assistants to study the core concepts of neural operators\, PINNs\, and how to apply them to scientific problems. \nThe bootcamp will be hosted online in the Central European Time (CET) zone. All communication will be done through Zoom\, HackMD and email. \nEvent Format\nThe bootcamp will be hosted online in the Central European Time (CET) zone. All communication will be done through Zoom\, HackMD and email. \nPrerequisites\nBasic experience with Python. No GPU programming or AI knowledge is required. \nThis event has limited capacity\, so please make sure that prerequisites are met before applying. You will be receiving an acceptance email with details on how to participate. \nCompute Resources\nTeams attending the event will be given access to a EuroHPC GPU cluster for the duration of the hackathon. \nAgenda\nDay 1\, February 21\n[ninja_tables id=”17733″] \nDay 2\, February 22\n[ninja_tables id=”17734″] \nRegistration\nPlease register by following this link https://events.prace-ri.eu/event/1461/registrations/1077/\nApplication deadline: February 7 \nContact\nFor any questions contact us at training@enccs.se \nFollow our Events Schedule\nFollow us on Twitter and subscribe to our Newsletter to stay tuned to our events and other news.\n\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_en
URL:https://enccs.se/events/2023-02-sciml-gpu-bootcamp/
LOCATION:Online
CATEGORIES:ENCCS Event
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DTSTART;TZID=Europe/Stockholm:20230224T090000
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LAST-MODIFIED:20230124T113613Z
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SUMMARY:Creative AI Webinar
DESCRIPTION:About the event\n\n\n\nThe last year has seen an explosion in “creative Al”\, in particular\, the performance of text generation models (such as chatGPT) and image generation models (such as Stable Diffusion\, Dalle-2 and Midjourney) has left many outside of the field shocked by the suddenly impressive capabilities of Al. \n\n\n\nIn this three-hour webinar\, we will give an overview of where these models come from\, how they work and what can be expected in the future.  \n\n\n\n\nIn the first part\, we will start by framing what we mean by creative Al. This will be followed by going back to the heart of deep learning: representation learning. We will discuss Auto Encoders and their wider family and show how latent diffusion models work on a high level. We will then show how this can be used to build generative models which are the building blocks of Stable Diffusion and DALL-E-2.\n\n\n\nIn the second part\, we will discuss language models\, some of their history and the motivation for their use in deep learning. We will give an overview of the Transformer architecture and how it has accelerated the progress in language modelling\, going from a pre-training task to being able to solve problems without retraining. We will show how this can be taken steps further by augmenting the language model with other general tasks\, resulting in something like chatGPT.\n\n\n\nIn the end\, we will forecast some of the impacts of these technologies and invite to an open discussion about the topic of creative Al.\n\n\n\n\nPrerequisites\n\n\n\nThe webinar will be on a popular science level\, you are not assumed to be a machine learning expert but should know what it is and have a basic knowledge of neural networks. \n\n\n\nRegistration\n\n\n\nYou can register for this event at https://events.prace-ri.eu/event/1482/registrations/1097/ \n\n\n\nContact\n\n\n\nFor any questions contact us at training@enccs.se \n\n\n\nFollow our Events Schedule\n\n\n\nFollow us on Twitter and subscribe to our Newsletter to stay tuned to our events and other news. \n\n\n\n———— \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_en
URL:https://enccs.se/events/creative-ai-webinar-feb-2023/
LOCATION:Online
CATEGORIES:ENCCS Event
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