Expected Outcome:
Projects are expected to contribute to the following outcomes:
- Optimized AI solutions: optimizing model design and data usage to maximize accuracy and robustness.
- Ensure in general, the pipeline of high-quality, representative, unbiased and compliant training data for AI development in all relevant sectors
- Support data preparation and AI training processes that lead to efficient and more trustworthy AI
Scope:
There is a need for AI methods that optimize training and reduce the amount data, the intensity of processing and the operations necessary for training high-quality, trustworthy AI systems. As a consequence, the energy consumption and the environment footprint will also be reduced. Such solutions are of relevance also in the context of embedded and embodied AI, i.e. AI capabilities in robotics and connected devices/objects/embedded processors, including small (down to micro/nanoscale) objects with long-term autonomy.
Proposals should address novel AI methods and training data provision processes, aiming at high quality and reliable AI while minimizing the data needs and manipulations, targeting smart and dynamic end-to-end automation of AI training in the cloud-edge computing continuum, where AI training, AI deployment and data collection/preparation happens at the most appropriate level of the cloud-edge continuum. This will lead to better quality of AI by smart data selection/harvesting/preparation and reduces the need to collect, store, process and transfer large amounts of data and/or large AI models, while reducing energy consumption.
Proposals should address at least one of the following focus areas:
- automated and AI-based mining, harvesting, selection, cleaning, annotation, and/or enrichment/augmentation of data for AI; generating and using synthetic data to reduce the need for large volumes of real and potentially sensitive data; validating the efficiency of these processes in AI systems;
- lighter, less data-intensive and less energy-consuming AI models, optimized learning processes that require less input (data efficient AI) without degrading the quality of the output; machine learning methods and architectures that deal with lower volumes such as transfer learning; one-shot learning; continuous and/or lifelong learning.
Proposals should clearly mention which of the two areas will be their main focus area.
The work should contribute to increasing data efficiency and energy efficiency of AI, and rationalize the provision of data for AI. The work should support appropriate AI paradigms (central, distributed, dynamic, hybrid), responding and adapting easily to the needs of the use situation, and to the changing characteristics, availability and use conditions for data.
Target AI systems should be appropriately evaluated, and results analysed and fed back to ensure continuous improvement of the “data for AI” pipeline.
Multidisciplinary research activities should address all of the following:
- Proposals should involve appropriate expertise in all the relevant disciplines, such as e.g. engineering, data science, computer sciences, mathematics, and where applicable in Social Sciences and Humanities (SSH) and gender expertise.
- Projects should build on or seek collaboration with existing projects and develop synergies with other relevant European, national or regional initiatives, funding programmes and platforms, especially the actions funded in the Digital Europe programme, under the chapter “Cloud, data and artificial intelligence”.
- Contribute to making AI, data and robotics solutions meet the requirements of trustworthy AI, based on accuracy, robustness, safety, ethical principles and reliability, in line with the European Approach to AI. Ethics principles needs to be adopted from early stages of development and design.
- Proposals are expected to dedicate tasks and resources to collaborate with and provide input to the open innovation challenge under HORIZON-CL4-2023-HUMAN-01-04 addressing optimisation. Research teams involved in the proposals are expected to participate in the respective Innovation Challenges.
All proposals are expected to embed mechanisms to assess and demonstrate progress (with qualitative and quantitative KPIs, benchmarking and progress monitoring, as well as illustrative application use-cases demonstrating concrete potential added value), and share communicable results with the European R&D community, through the AI-on-demand platform, Digital Industrial Platform for Robotics and Common European data spaces, and if necessary other relevant digital resource platforms in order to enhance the European AI, Data and Robotics ecosystem through the sharing of results and best practice.
The proposal should describe the characteristics and availability of the data to be used within the project and explain how the possible privacy and IPR issues related to the data are addressed. The provenance, associated metadata and any other contextual information should be collected and maintained to the extent necessary in order to enable validation and support explainable AI and to ensure continuous compliance with applicable legislation (e.g. GDPR, AI act, data act).
In order to achieve the expected outcomes, international cooperation is encouraged, in particular with Canada and India.
This topic implements the co-programmed European Partnership on AI, data and robotics.
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Activities are expected to start at TRL 2-3 and achieve TRL 4-5 by the end of the project – see General Annex B.
News flashes
2023-07-31
EVALUATION results
Published: 07/12/2022
Deadline: 29/03/2023
Available budget: EUR 201 500 000
The results of the evaluation are as follows:
Number of proposals submitted (including proposals transferred from or to other calls): 203
Number of inadmissible proposals: 7
Number of ineligible proposals: 8
Number of above-threshold proposals: 135
Total budget requested for above-threshold proposals: EUR 920,801,927.03
We recently informed the applicants about the evaluation results for their proposals.
For questions, please contact the Research Enquiry Service.
2023-07-31
EVALUATION results
Published: 07/12/2022
Deadline: 29/03/2023
Available budget: EUR 201 500 000
The results of the evaluation are as follows:
Number of proposals submitted (including proposals transferred from or to other calls): 203
Number of inadmissible proposals: 7
Number of ineligible proposals: 8
Number of above-threshold proposals: 135
Total budget requested for above-threshold proposals: EUR 920,801,927.03
We recently informed the applicants about the evaluation results for their proposals.
For questions, please contact the Research Enquiry Service.
2023-03-31
Call HORIZON-CL4-2023-HUMAN-01 has closed on the 29 March 2023.
203 proposals have been submitted.
The breakdown per topic is:
- HORIZON-CL4-2023-HUMAN-01-01: 49 proposals
- HORIZON-CL4-2023-HUMAN-01-02: 7 proposals
- HORIZON-CL4-2023-HUMAN-01-03: 27 proposals
- HORIZON-CL4-2023-HUMAN-01-04: 5 proposals
- HORIZON-CL4-2023-HUMAN-01-05: 9 proposals
- HORIZON-CL4-2023-HUMAN-01-11: 5 proposals
- HORIZON-CL4-2023-HUMAN-01-12: 4 proposals
- HORIZON-CL4-2023-HUMAN-01-13: 2 proposals
- HORIZON-CL4-2023-HUMAN-01-14: 1 proposal
- HORIZON-CL4-2023-HUMAN-01-21: 57 proposals
- HORIZON-CL4-2023-HUMAN-01-22: 18 proposals
- HORIZON-CL4-2023-HUMAN-01-23: 7 proposals
- HORIZON-CL4-2023-HUMAN-01-65: 4 proposals
- HORIZON-CL4-2023-HUMAN-01-66: 1 proposal
- HORIZON-CL4-2023-HUMAN-01-81: 6 proposals
- HORIZON-CL4-2023-HUMAN-01-82: 1 proposal
Evaluation results are expected to be communicated in July 2023.
2023-03-31
Call HORIZON-CL4-2023-HUMAN-01 has closed on the 29 March 2023.
203 proposals have been submitted.
The breakdown per topic is:
- HORIZON-CL4-2023-HUMAN-01-01: 49 proposals
- HORIZON-CL4-2023-HUMAN-01-02: 7 proposals
- HORIZON-CL4-2023-HUMAN-01-03: 27 proposals
- HORIZON-CL4-2023-HUMAN-01-04: 5 proposals
- HORIZON-CL4-2023-HUMAN-01-05: 9 proposals
- HORIZON-CL4-2023-HUMAN-01-11: 5 proposals
- HORIZON-CL4-2023-HUMAN-01-12: 4 proposals
- HORIZON-CL4-2023-HUMAN-01-13: 2 proposals
- HORIZON-CL4-2023-HUMAN-01-14: 1 proposal
- HORIZON-CL4-2023-HUMAN-01-21: 57 proposals
- HORIZON-CL4-2023-HUMAN-01-22: 18 proposals
- HORIZON-CL4-2023-HUMAN-01-23: 7 proposals
- HORIZON-CL4-2023-HUMAN-01-65: 4 proposals
- HORIZON-CL4-2023-HUMAN-01-66: 1 proposal
- HORIZON-CL4-2023-HUMAN-01-81: 6 proposals
- HORIZON-CL4-2023-HUMAN-01-82: 1 proposal
Evaluation results are expected to be communicated in July 2023.
2023-03-21
Following the Council Implementing Decision (EU) 2022/2506, as of 16th December 2022, no legal commitments (including the grant agreement itself as well as subcontracts, purchase contracts, financial support to third parties etc.) can be signed with Hungarian public interest trusts established under Hungarian Act IX of 2021 or any entity they maintain.
Affected entities may continue to apply to calls for proposals. However, in case the Council measures are not lifted, such entities are not eligible to participate in any funded role (beneficiaries, affiliated entities, subcontractors, recipients of financial support to third parties). In this case, co-applicants will be invited to remove or replace that entity /or to change its status into associated partner. Tasks and budget may be redistributed accordingly.
2023-03-21
Following the Council Implementing Decision (EU) 2022/2506, as of 16th December 2022, no legal commitments (including the grant agreement itself as well as subcontracts, purchase contracts, financial support to third parties etc.) can be signed with Hungarian public interest trusts established under Hungarian Act IX of 2021 or any entity they maintain.
Affected entities may continue to apply to calls for proposals. However, in case the Council measures are not lifted, such entities are not eligible to participate in any funded role (beneficiaries, affiliated entities, subcontractors, recipients of financial support to third parties). In this case, co-applicants will be invited to remove or replace that entity /or to change its status into associated partner. Tasks and budget may be redistributed accordingly.
2022-12-09
The submission session is now available for: HORIZON-CL4-2023-HUMAN-01-66(HORIZON-CSA), HORIZON-CL4-2023-HUMAN-01-04(HORIZON-CSA), HORIZON-CL4-2023-HUMAN-01-14(HORIZON-CSA), HORIZON-CL4-2023-HUMAN-01-01(HORIZON-RIA), HORIZON-CL4-2023-HUMAN-01-13(HORIZON-RIA), HORIZON-CL4-2023-HUMAN-01-12(HORIZON-IA), HORIZON-CL4-2023-HUMAN-01-22(HORIZON-IA), HORIZON-CL4-2023-HUMAN-01-11(HORIZON-RIA), HORIZON-CL4-2023-HUMAN-01-02(HORIZON-IA), HORIZON-CL4-2023-HUMAN-01-65(HORIZON-CSA), HORIZON-CL4-2023-HUMAN-01-21(HORIZON-RIA), HORIZON-CL4-2023-HUMAN-01-81(HORIZON-CSA), HORIZON-CL4-2023-HUMAN-01-05(HORIZON-IA), HORIZON-CL4-2023-HUMAN-01-23(HORIZON-CSA), HORIZON-CL4-2023-HUMAN-01-82(HORIZON-CSA), HORIZON-CL4-2023-HUMAN-01-03(HORIZON-RIA)
2022-12-09
The submission session is now available for: HORIZON-CL4-2023-HUMAN-01-66(HORIZON-CSA), HORIZON-CL4-2023-HUMAN-01-04(HORIZON-CSA), HORIZON-CL4-2023-HUMAN-01-14(HORIZON-CSA), HORIZON-CL4-2023-HUMAN-01-01(HORIZON-RIA), HORIZON-CL4-2023-HUMAN-01-13(HORIZON-RIA), HORIZON-CL4-2023-HUMAN-01-12(HORIZON-IA), HORIZON-CL4-2023-HUMAN-01-22(HORIZON-IA), HORIZON-CL4-2023-HUMAN-01-11(HORIZON-RIA), HORIZON-CL4-2023-HUMAN-01-02(HORIZON-IA), HORIZON-CL4-2023-HUMAN-01-65(HORIZON-CSA), HORIZON-CL4-2023-HUMAN-01-21(HORIZON-RIA), HORIZON-CL4-2023-HUMAN-01-81(HORIZON-CSA), HORIZON-CL4-2023-HUMAN-01-05(HORIZON-IA), HORIZON-CL4-2023-HUMAN-01-23(HORIZON-CSA), HORIZON-CL4-2023-HUMAN-01-82(HORIZON-CSA), HORIZON-CL4-2023-HUMAN-01-03(HORIZON-RIA)
