Horizon Europe (2021 - 2027)

Cognitive Computing Continuum: Intelligence and automation for more efficient data processing (AI, data and robotics partnership) (RIA)

Last update: Jan 17, 2024 Last update: 17 Jan, 2024

Details

Location:EU 27EU 27
Contracting Authority Type:Development Institution
Status:Awarded
Budget:EUR 28,000,000
Award ceiling:N/A
Award floor:N/A
Sector:Information & Communication Technology, Science & Innovation
Languages:English
Eligible applicants:Unrestricted / Unspecified
Eligible nationalities:Afghanistan, Albania, Algeria, A ... See moreAfghanistan, Albania, Algeria, Angola, Argentina, Armenia, Aruba, Austria, Azerbaijan, Bangladesh, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Bulgaria, Burkina Faso, Burundi, Cambodia, Cameroon, Cape Verde, Central African Republic, Chad, Colombia, Comoros, Congo, Costa Rica, Cote d'Ivoire, Croatia, Cuba, Curaçao, Cyprus, Czech Republic, Dem. Rep. Congo, Denmark, Djibouti, Dominica, Commonwealth of, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini (Swaziland), Ethiopia, Faroe Islands, Fiji, Finland, France, French Polynesia, French Southern Territory, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Greenland, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Jordan, Kazakhstan, Kenya, Kiribati, Kosovo, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Micronesia, Moldova, Mongolia, Montenegro, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Caledonia, Nicaragua, Niger, Nigeria, North Korea, North Macedonia, Norway, Pakistan, Palestine / West Bank & Gaza, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Romania, Rwanda, Saint Lucia, Saint Martin, Saint Vincent and the Grenadines, Samoa, Sao Tome and Principe, Senegal, Serbia, Sierra Leone, Slovakia, Slovenia, Spain, St. Pierre and Miquelon, Sudan, Suriname, Sweden, Syria, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tonga, Tunisia, Turkey, Turkmenistan, Tuvalu, Uganda, Ukraine, Uzbekistan, Vanuatu, Venezuela, Vietnam, Wallis and Futuna, Yemen, Zambia, Zimbabwe
Date posted:12 Dec, 2022

Attachments 5

Description

Call Updates

Jul 31, 2023 3:09:26 PM

EVALUATION results

Published: 07/12/2022

Deadline: 29/03/2023

Available budget: EUR 76 000 000

The results of the evaluation are as follows:

Number of proposals submitted (including proposals transferred from or to other calls): 99

Number of inadmissible proposals: 0

Number of ineligible proposals: 0

Number of above-threshold proposals: 62

Total budget requested for above-threshold proposals: EUR 368,933,048.91

We recently informed the applicants about the evaluation results for their proposals.

For questions, please contact the Research Enquiry Service.


 

Mar 31, 2023 10:55:29 AM

Call HORIZON-CL4-2023-DATA-01 has closed on the 29 March 2023.

99 proposals have been submitted.

The breakdown per topic is:

HORIZON-CL4-2023-DATA-01-04: 66 proposals

Evaluation results are expected to be communicated in July 2023.


Jan 24, 2023 10:30:39 AM

We would like to draw your attention to an update of the “Detailed Budget Table” Excel template. A new template has been republished for your kind consideration and use.

An additional paragraph has been added to the instructions tab, explaining how to save the detailed budget table and how to upload it in the submission system:

“After you completed this Excel workbook, you must also complete the table ‘Budget for the proposal’ in Part A of the proposal, entering the requested EU contribution for each participant. Fill the Part A budget table using the total for each participant from the sheet ‘Lump sum breakdown’ in this Excel workbook. The format of this Excel workbook is .xlsm because it uses macros to generate sheets and make calculations automatically. Always save it as .xlsm. However, this format cannot be uploaded to the submission system for security reasons. Therefore, to submit the completed workbook, save a copy as an .xlsx or .xls document (and not as .xlsm) and upload it to the proposal submission tool at Step 5 of the submission process. Always keep a copy of the original .xlsm file. To save the workbook as .xlsx document, use the action button in the sheet “Instructions”. Alternatively, click on “File” and then “Save as”; in the “Save as” dialog box, choose “.xlsx” or “.xls” from the “Save as type” dropdown list.”

You can still use the template initially available in the submission system if you wish to, but please be aware of the instructions on how to upload and save the file.


Dec 8, 2022 12:00:07 AM

The submission session is now available for: HORIZON-CL4-2023-DATA-01-04(HORIZON-RIA)


Cognitive Computing Continuum: Intelligence and automation for more efficient data processing (AI, data and robotics partnership) (RIA)

TOPIC ID: HORIZON-CL4-2023-DATA-01-04

Programme: Horizon Europe Framework Programme (HORIZON)
Call: World leading data and computing technologies (HORIZON-CL4-2023-DATA-01)
Type of action: HORIZON-RIA HORIZON Research and Innovation Actions
Type of MGA: HORIZON Lump Sum Grant [HORIZON-AG-LS]
Deadline model: single-stage
Planned opening date: 08 December 2022
Deadline date: 29 March 2023 17:00:00 Brussels time

ExpectedOutcome:
Projects are expected to contribute to the following outcomes:

Enhanced openness and open strategic autonomy in the evolving data and AI-economies across the computing continuum including adapted system integration at the edge and at device level, validation of key sectors and nurturing European value chains to accelerate and steer the digital and green transitions.
Paving the way to strategic industrial cooperation in data processing required to support future hyper-distributed applications by building open platforms, underpinning an emerging industrial open edge ecosystem critical to establishing a mature European supply chain.
Establishment of adaptive hybrid computing, cognitive clouds and edge intelligence beyond today’s investments on data infrastructure.
Better international collaboration with trusted partner regions, guaranteeing a minimum level of interoperability, portability thereby fostering competition in the Cloud/Edge services market for the European cloud/edge and software industry and facilitate European access to foreign markets.
Scope:
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.

It 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.

Specific Topic Conditions:
Activities are expected to start at TRL 2 and achieve TRL 5 by the end of the project – see General Annex B

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