AI4EOSC is presented, a federated, open-source platform designed to operationalize the full AI/ML life-cycle within the European Open Science Cloud (EOSC) ecosystem, and introduces a ‘‘FAIR-by-design’’ approach that enforces metadata standardization and W3C PROV-compliant provenance tracking through a platform-integrated CI/CD pipeline.
The rapid development of artificial intelligence, machine learning and increasingly accessible generative technologies is continuing to reshape and inform the relationship between computation and architectural design. The first section of this issue of the International Journal of Architectural Computing brings togethe...
André Brown· International Journal of Arc...· 0 citations
Artificial intelligence (AI) is increasingly embedded within scientific computing workflows that combine simulation, data processing, optimisation, visualisation and experimental or observational components. Learned models may serve as explicit workflow components, retain persistent state and, in adaptive settings, inf...
A layered framework that combines artificial intelligence-driven schema conversion and observability with established high availability and disaster recovery engineering practice, positioning automation as an accelerant to migration discipline rather than a replacement for it is proposed.
Ramakrishna Pittu· International journal of com...· 0 citations
The key message is that there is a new central design coordination of the cloud architecture that enables sustainable growth of the cloud, not merely increasing incremental capacity on hardware.
Priyadarshni Shanmugavadivelu· International journal of com...· 0 citations
This study proposes an integrative analytical architecture grounded in three interlocking layers: enabling technological foundations, intelligent sense-making processes, and context-sensitive deployment pathways that provide a holistic, implementation-ready framework for building intelligent systems that are not only h...
The resulting framework provides a vendor-neutral architectural blueprint that systematically connects scalability requirements, platform responsibilities, operational controls, and AI lifecycle needs, enabling engineering teams to evaluate and evolve data and AI platforms incrementally.
Santoshi Maddali· World Journal of Advanced Re...· 0 citations
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