🚀Did you know? The EGI Federated Cloud sky-rocketed in 2020! 🚀 The compute power delivered to researchers has now doubled, reaching > 40 Million CPU hours/year! 📈Check out the full trends 👇 bit.ly/3bXfzoo

Are you searching for #compute, #storage services or advanced platforms like DEEP Hybrid-DataCloud for your #research project? Apply now to the EGI-ACE call for use cases! go.egi.eu/egi-ace-call4uc

Are you looking for advanced platforms to create #deeplearning #machinelearning or #artificialintelligence applications for your #research project? Our platform is now available through the EGI-ACE project, that has launched a new call for use cases! go.egi.eu/egi-ace-call4uc

The DEEP Hybrid-DataCloud services are still supporting scientific use cases, like this one on the modelling of breast cancer optical properties with generative models developed by @gif_uc at Universidad de Cantabria #deeplearning

Looking for an 'at a glance' overview of the #EGIACE project? Have a look at the project's infographic! Visit the webpage to find the PDF file, and more information about the project. 🔗egi.eu/egi-ace #EGIACE #EOSCComputePlatform #EOSC

📢On December 1st, we are hosting the webinar: How to train your #AI models in #EOSC, with Ignacio Heredia and Álvaro López García (IFCA CSIC ) Register now! DEEP Hybrid-DataCloud indico.egi.eu/event/5742/

Our latest paper "A serverless gateway for event-driven machine learning inference in multiple clouds", initially envisioned in DEEP Hybrid-DataCloud and extended within @AI-SPRINT.eu is available in onlinelibrary.wiley.com/share/author/C…

The #EGI2022 conference is almost over, but there's still a lot to do today. Make your plans and enjoy the day!

We will deliver an #AI platform for the #EOSC and will be presenting our project in the #EGI2022 conference, together with other #AI and #ML initiatives EGI iMagine_eu StairwAI - Artificial Intelligence for SMEs LETHE project @Ai4PublicPolicy DEEP Hybrid-DataCloud indico.egi.eu/event/5882/ses…

Our project builds on the roots of other previous relevant #EOSC projects and is active collaborating with current and starting Horizon Europe 🇪🇺 initiatives INDIGO-DataCloud DEEP Hybrid-DataCloud EGI iMagine_eu EOSC-hub @eoscassociation

Our consortium is leaded by IFCA Advanced Computing and e-Science Group IFCA CSIC and composed of Shmoopy LIP - Laboratório de Instrumentação e Partículas INFN PCSS Universitat Politècnica de València Predictia MicroStep-MIS the Slovak Academy of Sciences and WODR

Today at EGI #EGI2022 we are sharing the first presentation of our project, we hope you enjoyed it such a wonderful conference and venue!

So excited to start a new project with a wonderful consortium! We will be leading the technological platform (based on DEEP Hybrid-DataCloud) that will support the 8 different #ArtificialIntelligence #MachineLearning use cases that will exploit image data focused on aquatic sciences

Following the EU Commission example, #EOSC Projects should seriously think about opening a Mastodon account and at some term leave TW social.network.europa.eu/@EU_Commission… AENEAS H2020 @aginfra Archiver BE OPEN project Blue-Cloud 2026 CatRIS cineca-project Cos4Cloud

Following the EU Commission example, #EOSC Projects should seriously think about opening a Mastodon account and at some term leave TW social.network.europa.eu/@EU_Commission… DARE_project DEEP Hybrid-DataCloud DigitalHealthEurope e-IRG @eInfraCentral ENVRI community EOSC Portal EOSC-hub EOSC-Life EOSC-Nordic

🧐 Privacy matters! In our latest Scientific Data work we present pyCANON, a #Python library that can help #DataScience users to check the level of #anonimity of a dataset nature.com/articles/s4159…

Do you want to know more about our project? Do not miss this afternoon (highly attended) session at EGI #EGI2023 on AI oin distributed environments where will be presenting our #EOSC work.

The Infrastructure Manager - im.egi.eu - has been used in many European projects such as INDIGO-DataCloud, DEEP Hybrid-DataCloud, EOSC-hub, AI4EOSC, interTwin, DT-GEO, CHAIMELEON Primage Project, to provide virtualised infrastructure deployment on many Clouds.

AI-based fish detection and classification trials at OBSEA observatory. The video has been produced with a YOLOv8 neural network trained with 500 tagged images during iMagine_eu project. Training were provided by the DEEP Hybrid Data Cloud Platform. EMSO ERIC Universitat Politècnica de Catalunya (UPC)

Have a look 😍 to the first promising results of the iMagine_eu #AI platform for aquatic science use cases! ➡️ marketplace.eosc-portal.eu/services/eosc.… These are possible thanks to the synergies with AI4EOSC and DEEP Hybrid-DataCloud projects 💪