Enhanced Learning Strategies for General Purpose AI: Advancing GenAI4EU (RIA) (AI/Data/Robotics Partnership)
HORIZON-CL4-2025-04-DIGITAL-EMERGING-07
Funding Amount
Amount not specified
Deadline
02/10/2025
Eligible Organization Types
Non-profit, Private Business, Research Institution, Public Institution
Trusted by
What is the Enhanced Learning Strategies for General Purpose AI: Advancing GenAI4EU (RIA) (AI/Data/Robotics Partnership) Call?
Grant Description
This call supports research and innovation actions to develop next-generation General Purpose Artificial Intelligence models that overcome limitations of current large-scale AI by combining self-supervised learning with complementary paradigms. It addresses gaps in formal reasoning, mathematical problem solving, confidence estimation, long-term planning and adaptability in dynamic environments. Projects will deliver advanced GPAI architectures, theoretical insights into learning synergies, bench...
Required Results for Successful Funding
Expected Outcomes
Projects are expected to deliver:
• GPAI models and architectures demonstrating enhanced capabilities in formal reasoning, mathematical problem-solving, confidence level estimation, long-term planning and seamless adaptation to dynamic, non-stationary environments
• Innovative learning approaches combining self-supervised learning with hybrid, active, reinforcement, transfer, relational, continual or evolutionary learning
• Theoretical insights advancing understanding of synergies between self-supervised and complementary learning paradigms
• Demonstrators and use-cases in strategic European sectors (robotics, healthcare, mobility, manufacturing, energy, science) showing productivity gains, improved decision-making and contributions to climate neutrality through energy efficiency
• Robust XAI methodologies (causal inference, counterfactual reasoning) fostering transparency, accountability and alignment with European values and the AI Act
• Benchmarks, KPIs and participation in international evaluation contests validating model performance and informing further research
• Open access to research outputs, data and software, and dissemination via the AI-on-demand platform and other digital resources
• Strengthened European AI, data and robotics ecosystem through interdisciplinary collaboration and cohesion with ADRA and the Gen AI 4 EU central hub
• GPAI models and architectures demonstrating enhanced capabilities in formal reasoning, mathematical problem-solving, confidence level estimation, long-term planning and seamless adaptation to dynamic, non-stationary environments
• Innovative learning approaches combining self-supervised learning with hybrid, active, reinforcement, transfer, relational, continual or evolutionary learning
• Theoretical insights advancing understanding of synergies between self-supervised and complementary learning paradigms
• Demonstrators and use-cases in strategic European sectors (robotics, healthcare, mobility, manufacturing, energy, science) showing productivity gains, improved decision-making and contributions to climate neutrality through energy efficiency
• Robust XAI methodologies (causal inference, counterfactual reasoning) fostering transparency, accountability and alignment with European values and the AI Act
• Benchmarks, KPIs and participation in international evaluation contests validating model performance and informing further research
• Open access to research outputs, data and software, and dissemination via the AI-on-demand platform and other digital resources
• Strengthened European AI, data and robotics ecosystem through interdisciplinary collaboration and cohesion with ADRA and the Gen AI 4 EU central hub
Funded areas
Scope Requirements
• Address core limitations of current large-scale AI models: poor adaptability to real-world environmental changes, limited formal reasoning, multi-step planning, mathematical problem-solving, and lack of self-awareness/confidence estimation
• Leverage self-supervised learning combined with at least one of: hybrid learning (symbolic reasoning, knowledge representation, neuro-symbolic methods), active learning, reinforcement learning, relational learning, continual learning, evolutionary learning or physics-based learning
• Focus on at least one key research area: – Hybrid Learning Architectures for Advanced Reasoning – Continual and Evolutionary Learning for Dynamic Environments – Reinforcement Learning Integration with Self-Supervision – Explainable AI and Trustworthy Decision-Making (causal inference, counterfactual reasoning) – Other Novel Paradigms (active, relational, embodied learning)
• Demonstrate a balanced approach between foundational theoretical advances and practical applications aligned with EU values and the AI Act
• Form interdisciplinary consortia combining AI, domain experts, ethics and social sciences to accurately assess capabilities, risks and stakeholder concerns
• Implement robust mechanisms for progress assessment: KPIs, benchmarking, international contests, illustrative use-cases with clear added value
• Ensure Open Science compliance: open access to publications, data and software unless justified otherwise
• Share communicable outputs via the European AI, Data and Robotics ecosystem (AI-on-demand and other platforms)
• Build synergies with existing Horizon Europe, Digital Europe Programme and other national/regional initiatives
• Leverage self-supervised learning combined with at least one of: hybrid learning (symbolic reasoning, knowledge representation, neuro-symbolic methods), active learning, reinforcement learning, relational learning, continual learning, evolutionary learning or physics-based learning
• Focus on at least one key research area: – Hybrid Learning Architectures for Advanced Reasoning – Continual and Evolutionary Learning for Dynamic Environments – Reinforcement Learning Integration with Self-Supervision – Explainable AI and Trustworthy Decision-Making (causal inference, counterfactual reasoning) – Other Novel Paradigms (active, relational, embodied learning)
• Demonstrate a balanced approach between foundational theoretical advances and practical applications aligned with EU values and the AI Act
• Form interdisciplinary consortia combining AI, domain experts, ethics and social sciences to accurately assess capabilities, risks and stakeholder concerns
• Implement robust mechanisms for progress assessment: KPIs, benchmarking, international contests, illustrative use-cases with clear added value
• Ensure Open Science compliance: open access to publications, data and software unless justified otherwise
• Share communicable outputs via the European AI, Data and Robotics ecosystem (AI-on-demand and other platforms)
• Build synergies with existing Horizon Europe, Digital Europe Programme and other national/regional initiatives
Additional Conditions for Applicants
Special Conditions
• Submission: single-stage, Horizon Europe RIA budget-based action (HORIZON-AG model grant agreement), page limits per Annex A/E and Part B of the application form
• Eligibility: participation limited to legal entities established in EU Member States, Iceland, Norway, Canada, Israel, Republic of Korea, New Zealand, Switzerland and the United Kingdom
• Entities controlled by non-eligible countries or deemed high-risk mobile-network suppliers must provide guarantees on governance, IP ownership, infrastructure control and information security to protect EU strategic assets, interests, autonomy and security
• Must allocate tasks for cohesion activities with the co-programmed European Partnership on AI, data and robotics (ADRA) and the Gen AI 4 EU Central Hub (CSA HORIZON-CL 4-2025-03-HUMAN-18)
• Proposals should develop synergies and complementarities with relevant projects under Horizon Europe and the Digital Europe Programme
• Adhere to Horizon Europe rules on financial and operational capacity, exclusion, open science, data management and grant agreement conditions
• Eligibility: participation limited to legal entities established in EU Member States, Iceland, Norway, Canada, Israel, Republic of Korea, New Zealand, Switzerland and the United Kingdom
• Entities controlled by non-eligible countries or deemed high-risk mobile-network suppliers must provide guarantees on governance, IP ownership, infrastructure control and information security to protect EU strategic assets, interests, autonomy and security
• Must allocate tasks for cohesion activities with the co-programmed European Partnership on AI, data and robotics (ADRA) and the Gen AI 4 EU Central Hub (CSA HORIZON-CL 4-2025-03-HUMAN-18)
• Proposals should develop synergies and complementarities with relevant projects under Horizon Europe and the Digital Europe Programme
• Adhere to Horizon Europe rules on financial and operational capacity, exclusion, open science, data management and grant agreement conditions
Important dates
Open from: 10/06/2025
Deadline:02/10/2025
Application period has ended
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