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09:00
AI Landscape and Roadmap in EGI
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09:10
iMagine: an AI platform supporting aquatic science use cases
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Gergely Sipos
(EGI.eu)
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09:30
iMagine: Best practices for suppliers of image collections and analysis tools in aquatic sciences
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Elnaz Azmi
(Karlsruhe Institute of Technology (KIT))
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09:50
A Bayesian Optimization workflow for improving oil spill numerical simulations
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Marco Mariano De Carlo
(CMCC Foundation)
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10:00
Bridging Cloud and HPC for Scalable Event-driven Processing of AI Workloads
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Estibaliz Parcero
(Instituto de Instrumentación para Imagen Molecular, Universitat Politècnica de València)
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10:20
ML4Fires: A Digital Twin Component for Wildfire Danger Analysis via Global Burned Areas Prediction on Climate Projection Data
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Emanuele Donno
(CMCC Foundation)
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11:00
AI4EOSC as a toolbox to develop and serve AI models in the EOSC
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Alvaro Lopez Garcia
(CSIC)
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11:15
Machine Learning Operations (MLOps): from global landscape to practice in AI4EOSC
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Valentin Kozlov
(Karlsruhe Institute of Technology)
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11:30
Leveraging MLflow for Efficient Evaluation and Deployment of Large Language Models
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Lisana Berberi
(KIT-G)
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11:45
Comparative Study of Federated Learning Frameworks NVFlare and Flower for Detecting Thermal Anomalies in Urban Environments
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Khadijeh Alibabaei
(Karlsruhe Institute of Technology - KIT, SCC, Eggenstein-Leopoldshafen, Baden-Württemberg, Germany)
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12:00
Distributed computing platform on EGI Federated Cloud
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Saul Fernandez
(IFCA)
Viet Tran
(IISAS)
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12:10
Exploring the Potential of Graph Neural Networks to Predict the State of Seagrass Ecosystems in Italian Seas
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Angelica Bianconi
(University School for Advanced Studies IUSS Pavia, Pavia, Italy - Ca' Foscary University of Venice, Department of Environmental Sciences, Informatics and Statistics, Via Torino 155, 30172, Venice, Italy - Centro Euro-Mediterraneo sui Cambiamenti Climatici, Risk Assessment and Adaptation Strategies Division, via Marco Biagi 5, 73100 Lecce, Italy)
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12:20
AI assisted user support
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Jiri Chudoba
(CESNET)
