Cloud, Edge and Infrastructure

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.

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AI ethics Automated reasoning Commonsense reasoning Computer vision Constraints and satisfiability Knowledge Representation Machine learning Multi-agent systems Natural language processing Optimisation Philosophy of AI Planning and scheduling Robotics and automation Searching Agriculture Cloud, Edge and Infrastructure Cultural Heritage Earth Observation Energy Healthcare Manufacturing Maritime Sector Public Services Regional Engagement - DIHs Telecommunications Transportation Education Institution

Reykjavik University

AI services Automated reasoning Computer vision Connected and automated vehicles Knowledge Representation Machine learning Multi-agent systems Natural language processing Optimisation Planning and scheduling Robotics and automation Searching Agriculture Cloud, Edge and Infrastructure Cultural Heritage Earth Observation Energy Healthcare Manufacturing Maritime Sector Public Services Regional Engagement - DIHs Telecommunications Transportation Research Institution

Fondazione LINKS – Leading Innovation & Knowledge for Society

Euro-HPC
Cloud, Edge and Infrastructure Large Mid-caps Small and medium enterprises (SMEs) Startup Public Bodies
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EuroHPC JU Access Call for AI and Data-Intensive Applications

The call is designed to serve industry organisations, small to medium enterprises (SMEs), startups, as well as public sector entities, requiring access to supercomputing resources to perform artificial intelligence and data intensive activities.