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Efficient trustworthy AI - making the best of data (AI, Data and Robotics Partnership)
|Funding Program||Horizon Europe - Cluster 4 - Destination 6: A Human-centred and Ethical Development of Digital and Industrial Technologies|
|Call budget||€ 35,000,000.00|
|Estimated EU contribution per project||between € 7,000,000.00 and € 9,000,000.00|
|Link to the call||ec.europa.eu|
|Link to the submission||ec.europa.eu|
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.
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:
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:
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.
|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), Morocco (المغرب), North Macedonia (Северна Македонија), Norway (Norge), Serbia (Srbija/Сpбија), Tunisia (تونس /Tūnis), Türkiye, Ukraine (Україна), United Kingdom
|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 2-3 and achieve TRL 4-5 by the end of the project.
For the Technology Readiness Level (TRL), the following definitions apply:
Competitiveness of Enterprises, Employment/Labour Market, SME & entrepreneurship,
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 45 pages.
To ensure a balanced portfolio coverage, grants will be awarded to applications not only in order of ranking but at least also to the highest ranked proposals for each of the two focus areas, provided that the applications attain all thresholds.
|Call documents|| HE-Work Programme 2023-2024, Cluster 4, Destination 6 (799kB)
|Contact||National Contact Points for Horizon Europe |
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