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AI4EOSC platform integrates AI/ML lifecycle for scientific research

By PulseAugur Editorial · [1 sources] ·

Researchers have developed AI4EOSC, a new open-source platform designed to integrate artificial intelligence and machine learning tools within the European Open Science Cloud (EOSC). The platform aims to bridge the gap between industry-standard MLOps and the specific needs of scientific research, particularly concerning FAIR principles for data management. AI4EOSC employs a modular, distributed architecture and a "FAIR-by-design" approach to standardize metadata and track provenance, facilitating the development, training, and deployment of AI/ML models across heterogeneous research infrastructures. AI

IMPACT Provides a standardized platform for AI/ML model development and deployment in scientific research, enhancing reproducibility and interoperability.

RANK_REASON This is a research paper describing a new platform for AI in scientific research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI4EOSC platform integrates AI/ML lifecycle for scientific research

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This is a research paper describing a new platform for AI in scientific research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Ignacio Heredia, \'Alvaro L\'opez Garc\'ia, Fernando Aguilar G\'omez, Diego Aguirre, Caterina Alarc\'on Mar\'in, Khadijeh Alibabaei, Lisana Berberi, Miguel Caballer, Amanda Calatrava, Pedro Castro, Alessandro Costantini, Mario David, Jaime D\'iez Stefan D ·

    AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research

    arXiv:2512.16455v3 Announce Type: replace-cross Abstract: The rapid growth of Artificial Intelligence and Machine Learning in scientific research has highlighted a gap between industry-standard MLOps tools and platforms, and the unique requirements of modern and Open Science, par…

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