AI in cloud, edge and infrastructure is a field where the exploitation of data is crucial. This section makes the point on some recent advances in the field by giving references on ongoing research projects.
The agricultural use case involved the cultivation of vineyards, with an end user in France that produces agricultural machinery. The agricultural use case demonstrated how AI can enable an enterprise not only to enhance its business-related activities,...
This use case was focused on the maintenance and inspection of the large turbines that are used for the (highly renewable) generation of electric power from wind. The inevitable damage to the turbines from the exposure to the elements can lead to expensiv...
Healthcare represents one of the most promising areas for innovative applications exploiting the computing continuum, and the concept of personalised healthcare is becoming a reality through AI-enabled functionality. The specific focus of this use case wa...
SPACE4AI-R : runtime management tool for aI applications component placement and resource selection in computing continua
This project contains the design environment project structure of an AI-SPRINT application. Furthermore, it contains the initial version of the AI-SPRINT parsers.
Service for the complete orchestration of virtual infrastructures and applications deployed on it, including resource provisioning, deployment, configuration, re-configuration, and termination.
The GPU Scheduler tool determines the best scheduling and GPU allocation for Deep Learning training jobs, reducing energy and execution costs (in both private or public clouds) while meeting deadline constraints. The tool only requires the list of submit...