Author Archives: danielpredictia

The release of the first version of the AI4EOSC platform and the next call for external users will mark the project's halfway milestone in February 2024. The three use cases integrated in the project –agrometeorology, integrated plant protection and thermography– are already using the platform to exploit their data to the fullest and develop artificial intelligence applications according to their needs. Specifically, the platform provides users with their necessary computational requirements, such as memory disk, CPU cores and GPUs. Throughout the first half of the project (funded by the European Union’s Horizon Europe call), several updates have been made to the architecture of the platform, which follows the C4 interactive model and is openly available for consultation. Although the platform has not been launched to the general public yet, it already has dozens of jobs running, including developers and use cases, and a total of 28 GPUs are in use.…

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Organised by the EOSC Association, the EOSC Focus project and other EOSC-related initiatives, the school unfolded in Greece, 29th of January-1st of February, to provide opportunity to collaborate and enhance technical expertise across diverse Opportunity Areas (OAs). The Winter School was organised to enhance collaboration and integration among EOSC-related Horizon Europe projects, and synchronize with the deliverables of the EOSC-A Task Forces. The Opportunity Areas included:OA1 Persistent Identifiers (PIDs) OA2 Metadata, Ontologies & Interoperability OA3 FAIR Assessment & Alignment OA4 User & Resource Environments OA5 Skills, Training, Rewards, Recognition & Upskilling OA6 Open Scholarly Communication In addition, the Sustainable Pathways to Impact track was organized to progress integration of the developments of HE INFRAEOSC projects into the EOSC landscape monitoring activities. The AI4EOSC representatives (Marcin Plociennik, Amanda Calatrava Arroyo and Fernando Aguilar) took active tole in the sessions of the OA3, OA4 and OA2. Furthermore, the AI4EOSC exploitation and KER management was taken as a reference example during…

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More than 50 people attended the first AI4EOSC platform user’s workshop which was held in hybrid format at the Institute of Informatics of the Slovak Academy of Sciences (IISAS) in Bratislava and organised by the IISAS and KIT partners. The aim of the event was to promote collaboration between the different partners involved, as well as the sharing of advances, available resources, how to use them, corresponding demonstrations, and in short, general knowledge exchange between the AI4EOSC platform developers and providers and use cases of the AI4EOSC and iMagine projects. This two-day event has allowed to bring AI4EOSC platform users, supporters, researchers and developers together to share their experiences and upcoming updates of the platform. People involved in the European project had participated as well as iMagine project partners, an EU-funded project which makes active use of the computing resources deployed with AI4OS, with the mission to deploy, operate, validate,…

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The recently presented DeepR 2023 ECMWF Code For Earth challenge outcome was made possible thanks to the use of the AI4EOSC platform. “This project wouldn’t have been possible without the computational resources provided by AI4EOSC and the European Weather Cloud”, said Mario Santa Cruz, one of the researchers involved in DeepR. “It allowed us to train AI models that can now be used by anybody”, he added. DeepR deals with the use of Artificial Intelligence for generating high resolution reanalysis datasets and was developed by Spaniards Antonio Pérez, Mario Santa Cruz (both with Predictia, an AI4EOSC partner) and Javier Díez (with IFCA, the AI4EOSC coordinator), mentored by Mariana Clare, Matthew Chantry, Andras Horanyi and Cornel Soci. Santa Cruz and Pérez presented the outcomes of their challenge on 20th September 2023 in the Italian city of Bologna. You can learn more about DeepR and other 2023 Code For Earth challenges here.…

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The project builds on the expertise of leading research organizations, infrastructure providers, NRENs and user communities from Spain, Portugal, Germany, Poland, Czech Republic, Slovakia, Netherlands, United Kingdom and France, all already committed to the EOSC vision

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Last week researchers from IFCA-CSIC attended the AIHUB CSIC Summer School in Barcelona, Spain. Specifically, IFCA researchers presented three posters related to different research projects in the area of artificial intelligence. One of them, entitled "Application of federated learning to medical imaging scenarios'' is part of the  AI4EOSC project. One of the goals of AI4EOSC is to allow the creation of AI systems on distributed datasets, with a special focus on federated learning. The aim of the project is to support the management of experiments through the platform dashboard. Some of the results obtained in the publication entitled “Study of the performance and scalability of federated learning for medical imaging with intermittent clients”, published in the journal Neurocomputing, and funded within the AI4EOSC project framework, were presented. The use case presented in the poster covers a medical image analysis of chest X-ray images using a federated learning architecture. Applying this…

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AI4EOSC recently participated in a productive two-day meeting in Brussels organized by the EOSC Association and the European Commission (EC). The gathering served as a platform to discuss various crucial aspects of the project's contributions towards the European Open Science Cloud Strategic Research and Innovation Agenda (SRIA) and the ongoing development of the EOSC. The event brought together project coordinators, representatives from INFRAEOSC projects, experts from the European Commission's DG-CNET and DG-RTD, as well as the Research Executive Agency (REA). The core part of the meeting consisted of lively discussions surrounding the INFRAEOSC projects' individual contributions to the SRIA, focusing on how they align with the overarching goals of research and innovation in the EOSC. To this aim, the EOSC-Focus project is developing a macro-roadmap view of the overall contributions, a commendable effort that will make it easier to get insights of the current EOSC advancement. Project coordinators had the opportunity to share insights, experiences, and…

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EGI-ACE is a 30-month project coordinated by the EGI Foundation with a mission to empower researchers from all disciplines to collaborate in data- and compute-intensive research through free-at-point-of-use services.

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iMagine provides a portfolio of image datasets, high-performance image analysis tools empowered with Artificial Intelligence (AI), and Best Practice documents for scientific image analysis.

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The AI-on-Demand Platform (AIoD) is a community-driven channel designed to empower European research and innovation in Artificial Intelligence (AI), while ensuring the European seal of quality, trustworthiness and explainability.

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