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European Research Mobility Network for Sovereign, Scalable and Trustworthy AI Systems

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AISTARS4EU aims to strengthen Europe’s technological sovereignty in Artificial Intelligence by advancing scalable, secure, and energy-efficient infrastructures for generative and agentic AI across the cloud–edge–HPC continuum. The project addresses a critical gap between cutting-edge AI capabilities and their reliable, sustainable deployment in real-world environments, aligning with key European initiatives such as AI Factories, the cloud–edge continuum, and the Apply AI strategy.

The project pursues three main objectives: (1) optimising AI infrastructure through learning-augmented techniques for efficient scheduling, inference, and resource management across heterogeneous systems; (2) developing secure and trustworthy agentic AI platforms with built-in observability, policy control, and continuous validation mechanisms; and (3) applying these advances to real-world use cases, including industrial robotics, edge AI, energy-aware large language model inference, and AI-assisted scientific workflows.

These objectives will be achieved through an integrated and interdisciplinary approach combining artificial intelligence, cloud-native systems, high-performance computing, and cybersecurity. The work is structured into three core research work packages supported by strong collaboration between academia and industry. A central mechanism is the large-scale exchange of staff across sectors and countries, enabling knowledge transfer, co-development of solutions, and access to cutting-edge infrastructures such as EuroHPC AI Factories and industrial cloud platforms. The methodology relies on hybrid approaches that combine machine learning with classical optimisation, ensuring both adaptability and robustness in production environments.

The project directly contributes to European priorities in trustworthy, sustainable, and deployable AI, strengthening research capacity and accelerating uptake in industry and society.

Dziedzina nauki (EuroSciVoc)

Słowa kluczowe

Program(-y)

Temat(-y)

System finansowania

HORIZON-TMA-MSCA-SE - HORIZON TMA MSCA Staff Exchanges

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Zaproszenie do składania wniosków

(odnośnik otworzy się w nowym oknie) HORIZON-MSCA-2026-SE-01

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Koordynator

UNIVERSITAT ROVIRA I VIRGILI
Wkład UE netto
€ 113 740,00
Koszt całkowity
Brak danych

Uczestnicy (16)

Partnerzy (5)