Empowering AI/generative AI along the Cognitive Computing continuum (RIA) (AI/Data/Robotics Partnership)

Project results are expected to contribute to:
• Novel AI-enabled Cloud and Edge management solutions tailored for AI workloads across the cognitive cloud-edge-IoT continuum;
• Strategic industrial cooperation across the Cloud-Edge-IoT cognitive computing continuum to support future hyper-distributed AI applications;
• Seamless and trustworthy integration and interoperability across diverse computing and data environments spanning from core cloud (including HPC) to edge to IoT and across different technology stacks;
• Enhanced openness and open strategic autonomy in the evolving data and AI economies across the computing continuum, validated through key business and societal sectors;
• A guaranteed minimum level of interoperability and portability, thereby facilitating European access to foreign markets.

Proposals must address one or more of the following research areas and demonstrate generic applicability across key sectors (manufacturing, healthcare, robotics, transportation, smart cities):
1. Novel mechanisms for efficient AI workflow development, deployment and operation across the Edge-to-Cloud-to-HPC continuum, optimizing performance and resource metrics and incorporating virtualization/orchestration and explainability features;
2. Decentralized and federated continuum tools enabling distributed AI architectures—scheduling, orchestration and placement across a wide range of edge environments (including on-device)—with appropriate security and privacy measures, leveraging techniques such as model/data/hybrid parallelism, data compression, gossip/swarm algorithms, federated training or conditional computing;
3. Cloud and edge processing tools and techniques to minimize AI processing energy consumption and emissions, leveraging hardware accelerators, heterogeneous architectures and energy-optimization techniques (hardware/software approximation).
All proposals must:
• Demonstrate scalability and applicability of the proposed solutions across the computing continuum;
• Develop synergies with activities and outcomes of the Digital Europe Programme and relevant IPCEI initiatives;
• Share communicable results with the European R&D community via the AI-on-demand platform and other digital resource platforms.