Project Duration: 1 September 2025 – 31 August 2028 (36 months)
Project Title: Trustworthy Unified Robust Intelligent Generative Systems
Project Acronym: TURING
Project Number: 101215032
Call: HORIZON-CL4-2024-HUMAN-03
Topic: HORIZON-CL4-2024-HUMAN-03-02
Action Type: HORIZON Research and Innovation Actions
Funding Authority: European Commission – HADEA (European Health and Digital Executive Agency)
Project Type: Applied research
Role of FIS: Partner
The Faculty of Information Studies in Novo mesto (FIS) participates as a key partner in the TURING project. FIŠ brings expertise in high-performance computing (HPC), artificial intelligence, and machine learning. Its main contribution lies in developing and optimizing methods for modeling and simulating complex physical systems, with a strong focus on ensuring the robustness, explainability, and ethical use of the AI-driven solutions.
Specifically, FIS will:
develop advanced algorithms for processing large-scale data in particle and nuclear physics,
evaluate the efficiency and robustness of models in real scientific scenarios,
support the consortium in implementing open science practices aligned with EU and international guidelines,
strengthen Slovenia’s presence in the European research landscape on trustworthy AI.
FIS Project Leader: Prof. Dr. Srđan Škrbić
Coordinator: ICCS – Institute of Communication and Computer Systems (Greece)
Partners:
BULL SAS (France)
University of Novi Sad Faculty of Sciences (UNSPMF) (Serbia)
AEGIS IT Research GmbH (AEGIS) (Germany)
Fondazione Bruno Kessler (FBK) (Italy)
Scuola Superiore Sant’Anna (SSSA) (Italy)
ZELUS IKE (ZELUS) (Greece)
Faculty of Information Studies in Novo mesto (FIŠ) (Slovenia)
Rudolfovo – Scientific and Technological Centre Novo mesto (RDL) (Slovenia)
Diinekis S.I. Monoprosopi Idiotiki Kefalaiouchiki Etairia (DIE) (Greece)
Foundation for Research and Technology – Hellas (FORTH) (Greece)
NEC Laboratories Europe GmbH (NEC) (Germany)
IoTaM Internet of Things Applications and Multi Layer Development Ltd (ITML) (Cyprus)
ML & AI Data Consultants Ltd (MLAI) (Cyprus)
École de technologie supérieure (ETS) (Canada)
NCOMP – Next Generation Computational Mechanics and Engineering PC (Greece)
NRG Pallas BV (NRG) (Netherlands)
University of Stuttgart (USTUTT) (Germany)
Slovak University of Technology in Bratislava (STUBA) (Slovakia)
CERN – European Organization for Nuclear Research (Switzerland)
Meteo-France (MF) (France)
Associated Partners:
ETH Zürich – Eidgenössische Technische Hochschule Zürich (Switzerland)
Indraprastha Institute of Information Technology Delhi (IIITD) (India)
Brief Project Summary:
The TURING project is designed as a groundbreaking initiative to develop trustworthy, robust, and explainable generative AI models that can serve as fundamental tools in science and engineering. Traditional numerical models for simulating physical systems are computationally expensive and time-intensive, while AI models show promise but still suffer from limitations in robustness, generalization, and ethical reliability.
TURING will address these gaps by building multimodal foundation models capable of learning and representing the dynamics of complex physical systems. These models will then be fine-tuned for critical application areas, such as:
nuclear energy and safety,
particle physics,
meteorology and climate prediction.
The project will also deliver the TURING Framework – a comprehensive set of MLOps tools and a web-based application with conversational capabilities, enabling both researchers and industry to easily access and apply the developed models. All results will be made publicly available while ensuring compliance with European regulations, including the EU AI Act.
By combining expertise across AI, computer engineering, physics, and social sciences, TURING will significantly advance the safe, ethical, and sustainable use of AI in high-impact domains, strengthening Europe’s scientific leadership and innovation capacity.
