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Cognitive Computing Continuum: Intelligence and automation for more efficient data processing (AI, data and robotics partnership)
|Funding Program||Horizon Europe - Cluster 4 - Destination 3: World Leading Data and Computing Technologies and Data Computing Technologies|
|Funding rate||100 %|
|Call budget||€ 28,000,000.00|
|Estimated EU contribution per project||between € 4,000,000.00 and € 6,000,000.00|
|Link to the call||ec.europa.eu|
|Link to the submission||ec.europa.eu|
The Cloud-Edge Continuum must provide seamless management schemes to allow services and data to be processed across various providers, connectivity types and network zones. This requires innovative management techniques and computational methods of the whole computing continuum from Cloud to Edge to IoT that are enabled by Swarm computing and decentralised intelligence.
The Cloud-Edge Continuum involves hyper-distributed computing approaches encompassing resources from IoT and far-edge constrained devices, to federated fog/edge computing nodes to central cloud computing centres and hybrid cloud models which exploit Artificial Intelligence techniques to advance automation and dynamic adaptation of resource management in Cloud and Edge systems, and thus intelligently balance computing tasks across decentral and central computing environments to optimize resources and quality of service.
Focus should be on autonomous and AI-enabled management schemes and data processing methods that enable this transition to a compute continuum with strong capacities at the edge and fog/IoT edge in an energy efficient and trustworthy manner. Intelligent compute, data and code orchestration mechanisms need to be integrated, which allow efficient value extraction from the huge volumes of generated data at the edge of the network and which support unprecedented levels of resource dynamicity and scalability across the compute continuum.
Concept should cater for novel automated management tools, programming models, learning and decision-making methods, and approaches able to cope with end-to-end security and identity management, resources heterogeneity, extreme scale and fault-tolerance together with elasticity to flexibly allocate resources and tasks. For learning, methods need to be able to deliver a solution to (continuous) federated learning from data distributed over the edge and in the network. For security and identity management, proposals are expected to apply state-of-the-art technologies, develop synergies and relate to activities and outcomes in Cluster 3 (namely, HORIZON-CL3-2023-CS-01-01: Secure Computing Continuum (IoT, Edge, Cloud, Dataspaces) and HORIZON-CL3-2023-CS-01-02: Privacy-preserving and identity management technologies).
Resource heterogeneity should consider the diversity of devices equipped with storage and processing capacities at the Edge and their specific characteristics (e.g., resource‐constrained devices), but also the increasingly available variety of processor architectures for these devices, including where possible, emerging open solutions (e.g. RISC-V).
Novel approaches are needed to support distributed machine learning and decision-making by providing the right balance between centralized and decentralized solutions to maximize the energy efficiency, resilience and effectiveness of the system while increasing privacy and interaction between different organizations without explicit sharing of data.
In addition, proposed solutions should incorporate tools and mechanisms enabling the optimisation of energy efficiency and ecological sustainability taking into account end-to- end data processing across the continuum. Interoperability approaches (based on open standards, interoperability models and open platforms) should be considered where appropriate.
Projects are expected to develop synergies and relate to activities and outcomes of the Digital Europe Programme (DEP) and any existing or emerging Important Projects of Common European Interest (IPCEI) initiative.
In this topic the integration of the gender dimension (sex and gender analysis) in research and innovation content is not a mandatory requirement.
International cooperation is encouraged, especially with Japan and S. Korea.
This topic implements the co-programmed European Partnership on AI, data and robotics.
|Regions / countries for funding||EU Member States, Overseas Countries and Territories (OCT)|
Moldova (Moldova), Albania (Shqipëria), Armenia (Հայաստան), Bosnia and Herzegovina (Bosna i Hercegovina / Босна и Херцеговина), Faeroes (Føroyar / Færøerne), Georgia (საქართველო), Island (Ísland), Israel (ישראל / إِسْرَائِيل), Kosovo (Kosova/Kosovë / Косово), Montenegro (Црна Гора), North Macedonia (Северна Македонија), Norway (Norge), Serbia (Srbija/Сpбија), Tunisia (تونس /Tūnis), Türkiye, Ukraine (Україна)
|eligible entities||EU Body, Education and training institution, International organization, Natural Person, Non-Profit Organisation (NPO) / Non-Governmental Organisation (NGO), Other, Private institution, incl. private company (private for profit), Public Body (national, regional and local; incl. EGTCs), Research Institution incl. University, Small and medium-sized enterprise (SME)|
To be eligible for funding, applicants must be established in one of the following countries:
Only legal entities forming a consortium are eligible to participate in actions provided that the consortium includes, as beneficiaries, three legal entities independent from each other and each established in a different country as follows:
Any legal entity, regardless of its place of establishment, including legal entities from non-associated third countries or international organisations (including international European research organisations) is eligible to participate (whether it is eligible for funding or not), provided that the conditions laid down in the Horizon Europe Regulation have been met, along with any other conditions laid down in the specific call topic.
A ‘legal entity’ means any natural or legal person created and recognised as such under national law, EU law or international law, which has legal personality and which may, acting in its own name, exercise rights and be subject to obligations, or an entity without legal personality.
|other eligibility criteria|
Activities are expected to start at TRL 2 and achieve TRL 5 by the end of the project.
For the Technology Readiness Level (TRL), the following definitions apply:
Digitalisation, Digital Society, ICT
|Relevance for EU Macro-Region||EUSAIR - EU Strategy for the Adriatic and Ionian Region, EUSALP - EU Strategy for the Alpine Space, EUSBSR - EU Strategy for the Baltic Sea Region, EUSDR - EU Strategy for the Danube Region|
|UN Sustainable Development Goals (UN-SDGs)|
All proposals must be submitted electronically via the Funders & Tenders Portal electronic submission system (accessible via the topic page in the Search Funding & Tenders section). Paper submissions are NOT possible.
Proposals must be complete and contain all parts and mandatory annexes and supporting documents, e.g. plan for the exploitation and dissemination of the results including communication activities, etc.
The application form will have two parts:
Annexes and supporting documents will be directly available in the submission system and must be uploaded as PDF files (or other formats allowed by the system).
The limit for a full application (Part B) is 50 pages.
Eligible costs will take the form of a lump sum.
|Call documents|| HE-Work Programme 2023-2024, Cluster 4, Destination 3 (339kB)
|Contact||National Contact Points for Horizon Europe |
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