Resumen
The AT4EOSC (Artificial Tntelligence for the European Open Science Cloud) delivers an enhanced set
of advanced services for the development of Artificial Tntelligence (AT), Machine Learning (ML) and
Deep Learning (DL) models and applications in the European Open Science Cloud (EOSC). These
services are bundled together into a comprehensive platform providing advanced features such as
distributed, federated and split learning; novel provenance metadata for AT/ML/DL models;
event-driven data processing services or provisioning of AT/ML/DL services based on
serverless computing. The project builds on top of the DEEP-Hybrid-DataCloud outcomes and
the EOSC compute platform and services in order to provide this specialized compute platform.
Moreover, AT4EOSC offers customization components in order to provide tailor made deployments of
the platform, adapting to the evolving user needs. The main outcomes of the AT4EOSC project will be
a measurable increase of the number of advanced, high level, customizable services available
through the EOSC portal, serving as a catalyst for researchers, facilitating the collaboration,
easing access to high-end pan-
te contributions to the EOSC exploitation perspective, creating
new channel to support the build-up of the EOSC Artificial Tntelligence and Machine Learning
community of practice.
