Artificial Intelligence

Our key areas of expertise

• Trustworthy AI (also known as industrial and responsible AI): ensuring the reliability and accountability of AI solutions integrated into critical industrial systems.
• AI & simulation hybridization: combining deep learning and physical models to optimize industrial simulation computations.
• AI & knowledge hybridization: developing generative AI solutions leveraging multi-source data from industry.
• AI & human integration: designing high-performance human-machine interfaces to enable intuitive cooperation with AI.
• Open-source platforms: accelerating technology transfer through open platforms that sustain project outcomes.

Our solutions for meeting industry needs

Ongoing R&D projects

• AFS (Agility and Fidelity of Simulations): Enhancing agility and managing fidelity in the design of complex physical systems.
• AI4CCAM: Development of an open environment for the integration of trustworthy AI models “by design.”
• AI4REALNET: Improving human-AI interactions for the supervision of complex networks.
• IAG1 (Generative AI for Industry): Managing technical knowledge for complex systems.
• Aware2All: Paving the way for the deployment of highly automated vehicles.
• CitCom.ai: Experimenting with AI in smart territories.
• CSIA: Strengthening trust in AI-based systems.
• IEN (Environmental Impact of Digital Technology): Providing tools to assess the environmental performance of digital services.
• PROBONO: Defining a citizen-centric construction industry at the European level to create positive-energy and zero-carbon-emission neighborhoods.
• Sinfonica: Designing connected and autonomous mobility services tailored to users and regions.
• SMD (Business Semantics for Data Exploitation): Developing tools to extract knowledge from heterogeneous multi-source data.
• ReNEW: Creating intelligent, green, and networked European inland waterways focused on resilience.
• SYNERGIES: Generating real and synthetic scenarios for the development, training, virtual testing, and validation of Cooperative, Connected, and Automated Mobility (CCAM) systems.