About the Symposium
The European Space Agency is delighted to announce the 2025 edition of the AI STAR Symposium - Artificial Intelligence Symposium on Theory, Application, and Research. This third edition of the event will take place on-site at ESOC, Darmstadt, and will also be broadcast online from Wednesday 3rd to Friday 5th December 2025. This year, the event expands to a three-day format, offering even more opportunities for learning, connecting, exploring and innovating.
The AI Star Symposium brings together leading voices from industry, academia, policy, and research to explore the transformative potential of AI in the space sector and beyond.
In previous editions, the event welcomed speakers from top-tier AI companies and institutions (e.g., Cohere, AWS, IBM, Nvidia), representatives from industry leaders applying AI in engineering (e.g., Airbus, Merck, J.P. Morgan), thought leaders and innovators – all contributing to a dynamic, high-level forum fostering knowledge exchange and collaboration.
The symposium is designed to
Identify concrete technological solutions addressing current and future needs in our organisations.
Connect the communities and enable interactions to lay the foundations for further collaborations.
Inspire and enable the public to learn about AI research and applications from experts.
Themes of the 2025 Edition
AI to enhance operations and engineering applications
Application of state-of-the-art AI-based tools for systems operations and engineering applications.
Intelligent Agents and Assistants
Digital Twins & Advanced Modelling in Operations
Prognostics, health management, and predictive maintenance
AI to enhance planning, assets performances, supply chain and logistics
(Cyber)Security & AI
AI for Engineering Advanced Systems
Next generation of AI applications and AI-driven engineering processes.
Requirements engineering & compliance with standards
Advanced Modelling & AI-driven design
Autonomous systems & hive mind
On-board Intelligence & Disruptive Edge Computing
Frugal AI: overcoming the on-board computational, power & data constraints
AI GenForge
AI accelerated Smart manufacturing, Generative Design, ICME and Industrialisation.
Geometrical deep learning surrogates & Simulation Twins
Integrated Computational Materials Engineering, Materials Discovery & Meso-/Macro-scale dynamics coupling
Software defined Semiconductors
Ambient Invisible Intelligence
Advanced Quality Assurance: Non-Destructive Inspection, Real-Time Process Optimization & Predictive process quality
Safe and Responsible AI
AI guardians and explainability
Validation and verification of AI models (assurance, reliability)
Policies on AI applications
Environmental Impact
Data Governance