Collaboration with AI4EOSC discussed at AI4Life General Assembly
Several areas of collaboration with the AI4EOSC project were explored during AI4Life’s third General Assembly, held on October 21-22, 2024, in Milan, Italy. Throughout the event, AI4EOSC contributed actively to discussions on improving interoperability and reinforcing FAIR data principles. A key area of collaboration is the integration of AI4Life Zoo models within the AI4EOSC platform, as the technologies behind both projects are highly compatible, allowing for seamless integration with minimal effort. AI4EOSC’s presentation emphasised the project's ongoing developments and the current and future collaborations, particularly for integrating AI4Life’s contributions into larger contexts like the European Open Science Cloud (EOSC). This collaboration promises to open new avenues for sustainability and reusability in the field of AI and open science. A central theme of the assembly was the importance of FAIR data practices. Key challenges discussed included annotation integration, data visualization, and streamlined debugging. AI4EOSC proposed leveraging established resources, such as the…
AI4EOSC Brings Artificial Intelligence Tools to European Researchers via the EOSC EU Node
The AI4EOSC project has started to integrate the existing AI modules (available in the AI4EOSC marketplace) into the EOSC EU Node's "Tools Hub" service. This marks a significant milestone in making AI tools better findable and accessible to researchers across Europe. The "Tools Hub" service, provided to European researchers by the EOSC EU Node, enables scientists to find, create, publish and run tools, based on predefined templates with just a click. AI4EOSC is the first project to contribute tools to this innovative service, expanding the range of resources available to the European research community. The AI4EOSC AI modules are now easily accessible to researchers, even if users do not have access to the AI4EOSC platform, thanks to the EU Node resources and services. We are excited about the potential this has for fostering open science and AI-driven research across disciplines, effectively enabling sharing and reuse of the platform outcomes at a…
AI4EOSC featured at the European AI Security network CrossTalk event
The AI4EOSC project showcased the innovative solutions it’s developing at the European AI Security Network (EASiNet) CrossTalk Event at the Delegation of the Emilia-Romagna Region to the EU in Brussels with the focus on AI and cybersecurity. The event, held on October 22nd, featured also solutions developed by other nine EU-funded projects, which include TRUMPET, FLUTE, ENCRYPT, HARPOCRATES, PAROMA-MED, KATY, ONCOVALUE, EOSC-TITAN and EOSC-SIESTA. These projects form a network of more than 50 partners across Europe as hospitals, ICT companies, legal agencies, research institutes, collaborating to address crucial challenges in Cloud Security, Privacy Enhancing Technologies (PETs), and Federated Learning for healthcare applications. The event also highlighted distinguished contributions from ENISA, and from the European Commission - DG SANTE, DG CONNECT - whose representatives provided insights into ongoing and future European policies. The first track of the data was on Cloud Security for Data, presenting innovations in secure data storage and…
AI4EOSC Platform launches beta LLM4EOSC API service: Open call for preview access
The AI4EOSC platform is excited to announce the deployment of our beta LLM4EOSC (Large Language Models for the EOSC) API service. This innovative service is now available for a limited number of users in the European Open Science Cloud (EOSC) community to evaluate and provide feedback. The beta LLM4EOSC API service offers powerful capabilities for natural language processing and understanding, enabling researchers and scientists to enhance their workflows and projects. By leveraging advanced AI technologies, users can perform tasks such as text generation, summarization, question answering, and more, all within the context of the EOSC. Open call for preview access To facilitate a thorough evaluation of the LLM4EOSC API service within the EOSC environment, we are launching an open call for preview access. Interested users from the EOSC community are invited to request access on a limited basis. This opportunity will allow users to explore the potential of LLM APIs…
AI4EOSC breakthroughs in processing research data with AI presented at EGI2024
The AI4EOSC project presented its significant advancements in the processing of research data with artificial intelligence and machine learning during the EGI conference 2024, held in the Italian city of Lecce from September 30 to October 4. The project coordinator Álvaro López García presented AI4EOSC during a session that also featured updates on topics such as MLOps (by Valentin Kozlov), evaluation of open source LLMs with MLflow (by Lisana Berberi), a comprehensive comparison of federated learning (FL) frameworks (by Khadijeh Alibabaei) and the implementation of the AI4EOSC distributed platform (by Saúl Fernández). AI4EOSC was represented in this important event with numerous contributions, including a booth dedicated to the project, along with numerous talks, four demos, and a poster. Regarding the demonstrations, Fernando Aguilar showcased a tool for evaluating the FAIR principles, called FAIR EVA. Judith Sáinz-Pardo presented the implementation of secure personalized federated learning within the AI4EOSC platform, demonstrating two use cases: one related to…
‘Making Federated Learning Accessible to Scientists’ – AI4EOSC at the 12th ACM Workshop on Information Hiding and Multimedia Security
Researchers from the AI4EOSC project presented a paper entitled “Making Federated Learning Accessible to Scientists: The AI4EOSC Approach” during the 12th ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec), one of the prime events in the area of multimedia security, held in Baiona, Spain, on June 24-26, 2024. The presentation delved on the implementation of a federated learning system based on the Flower framework that allows users to exploit this technique within the AI4EOSC platform, together with the difficulties encountered in the process and how they have been solved. Besides, it explored different additional extensions developed (available for use on the platform, such as client authentication), as well as an example applied to a medical imaging case, concluding with an scenario of intermittent clients in medical imaging. The paper, authored by researchers from CSIC, IISAS and KIT, and presented by CSIC’s Judith Sáinz-Pardo, can be consulted in open access…
New features available in the dashboard! Automatic download and synchronisation of data from open repositories
AI4EOSC Platform users can now automatically synchronise data in their nextcloud instances (obtained from different providers, such as Zenodo, HuggingFace, DataOne, etc) after creating a new deployment using the different IDEs available (JupyterLab and Visual Studio Code). First, users must enter their RCLONE credentials to synchronise the deployment with their nextcloud instance, and then they will have the option of downloading data from external sources, including Zenodo, HuggingFace, Figshare, Github, Dryad, Open Science Framework (OSF), and Mendeley Data among others. For all these repositories, users will be able to download and synchronise data by simply entering the DOI. Furthermore, in the case of Zenodo, they can use the embedded search functionality available in the dashboard, in order to search data from any community. Thus, users will be able to search for the type of data they need to develop their model and select from a wide range of options available…
The implementation of the Strategic Research and Innovation Agenda, at the centre of the latest EOSC meeting
The implementation of the European Open Science Cloud (EOSC) Strategic Research and Innovation Agenda (SRIA) was the focus of the coordination meeting of EOSC-related projects funded under the Horizon Europe call. In that context, deepening the collaborations between EOSC-related projects, the EOSC Association and the European Commission was widely discussed during the meeting, held in Brussels on 20-21 June, 2024. The AI4EOSC project was presented by PSNC’s Marcin Plociennik during the Federation of services and core components of EOSC and integration of project outcomes session. The project positioning was taken as starting point for further discussion. During the meeting debate arose around achieving operational EOSC federation, Users and Resource environments in thematic communities and putting the FAIR principles in practice among many others. It also featured presentations from the new EOSC projects and the EOSC EU Node. The relation of the EOSC and EU Data Spaces had its own dedicated…
The advances on MLOps and the AI4EOSC Platform featured at the Helmholtz AI Conference
The advances on MLOps and drift monitoring, federated learning studies, the AI4EOSC platform and the project’s Automated Thermography use case were presented by KIT scientists during the Helmholtz AI conference, held in Düsseldorf, Germany, on June 12-14. More than 200 scientists from the Helmholtz Association met in Düsseldorf, where two unconference events were also organised by KIT researchers from the AI4EOSC consortium — one on MLOPs and another one on federated learning. The architecture and features of the AI4EOSC platform triggered a high interest and stimulated cross-project networking during the conference, which presented a good opportunity to discuss, get insights and showcase AI related research. The AI4EOSC sister-project, iMagine, was also showcased during the conference. This project makes active use of the computing resources deployed with AI4OS. Helmholtz scientists spent two fruitful days on discussing foundation models, their challenges and advantages, application for science and needed infrastructures. The keynote talks…
Showcasing AI4EOSC at the world’s largest conference on Federated Learning
The AI4EOSC project was showcased at the world's largest conference on Federated Learning (FL), the Flower AI Summit 2024, held in London on March 14-15. The conference featured not only the advancements within Federated Learning but also the collaborative efforts driving innovation across the AI landscape and different applications. On the first day, dedicated to AI research, we introduced the European Open Science Cloud (EOSC) ecosystem, presented the AI4EOSC project, and talked about how we have implemented Federated Learning in the AI4EOSC platform, whose first release, AI4EOSC 1, took place earlier this month. During her talk (“Federated AI in the European Open Science Cloud”) our colleague Judith Sáinz-Pardo Díaz (CSIC) seized the opportunity to present some modifications that have been made from AI4EOSC to the Flower library in order to allow client authentication with the FL server and a secret management system for this purpose, in order to add an…
