Author Archives: danielpredictia

The CSIC AIHUB is a network of centres that brings together more than 400 researchers whose mission is to bring together CSIC research staff dedicated to AI to collaborate in research, training, transfer and communication activities.

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A comprehensive platform for machine learning, deep learning and artificial intelligence in the European Open Science Cloud. Developing, training, sharing and deploying your model has never been easier.

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EOSC Future is an EU-funded H2020 project that is implementing the European Open Science Cloud (EOSC). EOSC will give European researchers access to a wide web of FAIR data and related services.

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EOSC DIH is an international and multi-partner cooperation that supports companies in easily accessing the digital technologies and services offered by the EOSC. It combines 4 main pillars to help companies become more competitive: Pilot design and co-design, Technical access, Training & support and Visibility.

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The AI4EOSC project is being featured during the EGI Conference 2023 (Enabling Grids for E-Science), an international meeting of scientists, IT experts as well as computing and service providers taking place in the Polish city of Poznan 19-23 June. AI4EOSC marks its presence in the speeches of panelists on sessions and trainings focused on machine learning and Artificial Intelligence (“Artificial Intelligence and Machine Learning in distributed/federated environments”, “Artificial Intelligence and Machine Learning: Lightning Talks”, “Dataspaces and AI/ML services in the agricultural domain”, “Training: Bringing your AI models to EOSC”). The aim of the event, co-organized by the Poznan Supercomputing and Networking Center (PSNC), is to summarize the current activities within the EGI – Advanced Computing Services for Research. AI4EOSC receives funding from the European Union's Horizon Europe 2022 research and innovation programme under agreement #101058593 Privacy policy | Contact us

The largest industry event in Poland, National Field Days was held on 3-5 June, 2023. During the event. organized by the Wielkopolska Agricultural Advisory Centre in Poznan (WODR), the Poznan Supercomputing and Networking Center (PSNC) presented modern IT solutions for agriculture supporting the event’s Innovation Zone. AI4EOSC was also presented with the project in the Innovation Zone at a separate stand of PSNC and WODR, presenting the results of projects related to the use of AI in agriculture. It was visited by the Polish Minister of Agriculture and Rural Development, Robert Telus, and the European Commissioner for Agriculture, Janusz Wojciechowski. The topic of modern agriculture in practice and the demonstrations of the cutting-edge tools used in agriculture was fostered by examples of the use of robots and drones, mobile application and presentations on precision farming and artificial intelligence. The event gathered tens of thousands of visitors and hundreds of industry companies from all…

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AI4EOSC experts will host a training on how the project evolve innovative services to support machine learning over the European Open Science Cloud (EOSC) to better support the new challenges ahead when building distributed AI applications and improve scalability and performance for large-scale AI applications. Ignacio Heredia (CSIC), Khadijed Alibabaei (KIT), Amanda Calatrava (UPV) and Valentin Kozlov (KIT) will show how the AI4EOSC/DEEP AI platform supports typical scenarios for AI-based applications and services: re-use of existing AI modules on the marketplace, AI model development from scratch and training, and model serving. You may find more information here.This event can be attended both in-person and online and will take place on 23rd June at 09:00am CEST time. The AI4EOSC training will be a part of the upcoming EGI 2023, to be held in Poznan, Poland, 19-23 June.The registration deadline ends on 31st May 23:59 CEST, so don’t miss your chance and register now! AI4EOSC receives…

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The AI4EOSC Project has made its C4 model openly available on GitHub. A read-only version is available on Structurizr too. C4 model architecture is becoming widely popular -also when it comes to both EOSC and non EOSC-related projects- as it allows users to easily define several layers of abstraction. The C4 architecture diagrams help understanding the software system used for AI4EOSC by showing the inter-relations between the different components in the project environment.The content is licensed under a Creative Commons Attribution 4.0 International License. AI4EOSC receives funding from the European Union's Horizon Europe 2022 research and innovation programme under agreement #101058593 Privacy policy | Contact us

The AI4EOSC Project, led by IFCA, will result in easier and simpler access for scientists to the European Open Science Cloud. “The idea behind the project is to exploit the already-existing computational resources at European level”, explains CSIC-IFCA’s Álvaro López, AI4EOSC Coordinator. The aim, he adds, is “providing a very simple access to users who don’t need to have advanced knowledge so that these resources are used in an efficient manner with the ultimate goal of creating an exchange place where these apps and models can be shared with other users and scientists”. This will ultimately increase the number of services in the EOSC and enhance collaboration among researchers. AI4EOSC, running until August 2025, will also offer more intuitive services for the European research community thanks to artificial intelligence, machine learning and deep learning. The project has been funded by the European Commission and has gathered 10 members from all…

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The Open-source Serverless Computing for Data-Processing Applications (OSCAR) (doi: 10.1109/CLOUD.2019.00073 ) has been included in the European Open Science Cloud (EOSC). The Grid and High Performance Computing Group (GRyCAP) at the Instituto de Instrumentación para Imagen Molecular (I3M) from the AI4EOSC consortium member Universitat Politècnica de València (UPV) developed OSCAR, a framework to efficiently support the Functions as a Services (FaaS) computing model for general-purpose file-processing applications. In AI4EOSC, the AI as a Service (AIaaS) developed will be based on the OSCAR platform, as it can be automatically deployed on multi-Clouds to create highly-parallel event-driven file-processing serverless container-based applications and execute them in response to inference requests. Official documentation: https://docs.oscar.grycap.net/ GitHub repository: https://github.com/grycap/oscar AI4EOSC receives funding from the European Union's Horizon Europe 2022 research and innovation programme under agreement #101058593 Privacy policy | Contact us
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