Neutral-Atom Platform Technologies
This action aims to establish European leadership in neutral-atom quantum simulation and digital quantum computing by delivering: • Fully programmable industry-ready quan…
Horizon Europe · Europäische Union
Full title in the source: Apply AI: Challenge-Driven AI Innovation Booster in Apply AI prioritised sectors (RIA) (Partnership in AI, Data and Robotics)
Öffnet am 17. November 2026
Das EU-Programm Horizon Europe plant 3 Förderungen mit 14 Mio. € pro Projekt bei einem Gesamtbudget von 42 Mio. €. Die Einreichungsfrist endet am 18. März 2027 (EU-Ausschreibungen enden meist um 17:00 Uhr Brüsseler Zeit). Organisationen aus EU-Mitgliedstaaten und assoziierten Ländern wie der Türkei können in der Regel teilnehmen; maßgeblich sind die Bedingungen des Topics.
Offizielle Ausschreibung öffnen ↗ Frist zum Kalender hinzufügen
Die offiziellen Beschreibungen sind in der Sprache des Fördergebers (meist Englisch); Zusammenfassung und Eckdaten auf dieser Seite sind auf Deutsch.
The Apply AI Strategy [1] proposes a comprehensive set of measures to notably harness the transformative potential of AI. It lays down targeted measures to boost AI use in key strategic sectors of the EU economy including healthcare, mobility and manufacturing for example. With challenges designed to spark breakthroughs in such strategic sectors, the current topic will directly support key activities of the Apply AI Strategy.
Project results are expected to contribute to all of the following expected outcomes:
• Significant technological progress and innovation in Apply AI Strategy's prioritised sectors driven by challenge-oriented, AI-powered solutions.
• Increase competitiveness and visibility of the relevant AI community within key application sectors, and promote collaborative approaches for AI development in these sectors, fostering the ecosystem.
• Increase adoption of AI technologies across the following three key application sectors: healthcare, advanced manufacturing (including AI-powered robotics) and in-vehicle autonomous driving.
The Challenge-Driven AI Innovation Booster aims to drive significant technological progress and innovation in Apply AI prioritised sectors through challenge-oriented, AI-powered solutions. This initiative seeks to boost Europe's developer community and the adoption of powerful, trustworthy AI solutions in three strategic sectors such as:
• In healthcare - advanced AI will accelerate diagnostics and treatment plans, enhance robotic surgery, or improve patient care through predictive analytics.
• In advanced manufacturing - advanced AI will optimize production processes, improve quality control and product design, or enable predictive maintenance.
• In autonomous driving - advanced AI will enhance vehicle safety, improve navigation systems, or optimize traffic management. Provided sufficient quality of the proposals received, at least one selected project will focus on in-vehicle autonomous driving applications, in line with the Automotive Action Plan, ensuring coordination with the announced Connected and Autonomous Vehicle Alliance.
Each proposal should address exclusively on one of the three key sectors mentioned above, and clearly indicate which sector they address.
It is expected to focus primarily on the definition and organization of a multi-stage competition in the chosen sector, as well as on the accompanying support to the SMEs/teams taking part in each of the challenges.
User-industry companies from the strategic sector targeted by the proposal should be core partners in each consortium. They should demonstrate a genuine interest in the project results and therefore support the challenge participants to reach the most powerful and exploitable results benefiting their industry. The expected results are pre-competitive, but the proposal must include a draft exploitation plan focused on how the solutions developed by the third parties will be taken up, with support from the user-industry partners for their future exploitation.
The consortium leading the project is responsible for the various stages of the challenges. This consortium should provide the necessary support resources during each stage of the competition (including technical assistance and business support to develop an exploitation strategy) and, most importantly, the consortium should ensure that the teams competing for and receiving financial support to third parties have access to relevant data to fine-tune models and build high-impact solutions meeting industry needs.
Proposals should be driven by impactful use-cases where advanced AI can make the difference: a number of industries from the targeted sector are expected to join forces to define challenging problems to solve with advanced AI solutions, which then drive the rest of the project. Based on such challenges, each project consortium should organize a multi-staged competition with an increasing level of complexity. In the different stages (see below), third parties, either single SMEs or small teams of organisations…
Consortium of at least 3 independent legal entities from 3 different EU Member States or associated countries, at least one in a Member State (Horizon Europe standard rule). Country restriction: participation is limited to legal entities established in Member States, Iceland and Norway and the following additional associated countries: Canada, Israel, Republic of Korea, New Zealand, Switzerland, and the United Kingdom.
Antragstellerkategorien sind nur ein Ausgangspunkt. Über die Antragsberechtigung entscheidet die offizielle Ausschreibung.
Artificial intelligence, intelligent systems, multi agent systems Apply AI Artificial Intelligence Challenge Competition Robotics
Single-stage call. Next deadline 2027-03-18. The portal states the exact cut-off time (EU calls usually close at 17:00 Brussels time).
EU-Leitfaden zur Antragstellung lesen
Offizielle Ausschreibungsseite
Die Angaben auf dieser Seite stammen aus der offiziellen Quelle und wurden zuletzt am 14. November 2026 geprüft. Maßgeblich sind immer die Unterlagen des Fördergebers einschließlich späterer Änderungen.
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