AI@ESA

The AI@ESA event is a two-day internal event bringing together the ESA AI community and enthusiasts. This event aims at raising awareness on the numerous projects run across all directorates, to discuss future trends and current challenges, as well as promote collaboration. 

Key dates:

ESA is already harnessing the power of AI to support mission design and operations, amplify value from science and EO data, as well as facilitate knowledge sharing. With a new AI strategy and the establishment of an AI competency centre, ESA is doubling down on its commitment towards AI-powered space technologies. To strengthen our ESA AI community and optimise our organisational approach, we welcome you to a first internal event dedicated to our AI-based activities. 

Short 10' presentations adresssing recent, on-going or future activities relevant to one or more of the 4 key domains of the ESA AI strategy are welcomed: 

1. AI for mission design and engineering - Leverage AI technologies to enhance the design, and development of space missions. For instance:

• AI-based assistants for mission design, requirement definition and cost estimation
• Generative AI for Optimizing System Engineering Processes
• AI System and subsystem verification, validation and qualification
• AI for Smart Manufacturing, Assembly, Integration and Testing
• Autonomous robotic systems for planetary exploration, IRSU, in-orbit assembly and manufacturing
• In-orbit servicing technologies
• AI technologies for S/C on-board autonomy
• On-Board AI learning for Autonomous Space Systems
• Enhancing Sensor Capabilities with built-in AI

2. AI for mission operations - Use AI to improve the efficiency and effectiveness of operations, enabling autonomy. For instance:

• AI-Enhanced Health Monitoring and Control Capabilities
• AI-Enhanced Decision Recommendation and Planning Capabilities
• AI-Enhanced Modelling and Simulation (M&S) Capabilities
• AI-automated content generation and AI-enhanced user interaction with data
• AI-Enhanced Crew Support Systems for Space Operations
• AI for Space Safety

3. AI for insights from mission data - Apply AI to extract insights and knowledge from the vast amounts of data generated by space missions that otherwise would have been hard or impossible. For instance:

• Enabling scientific discoveries with AI
• AI for Climate Science
• AI techniques for data dissemination and citizen engagement

4. AI for operational efficiency and effectiveness - Leverage AI to provide assistance, automate processes, routine tasks, and facilitate collaboration and knowledge sharing across the organization.

• AI-based strategic forecasting and ecosystem monitoring
• AI-enhanced Knowledge Exchange and Retention
• Supply chain and sustainability management
• Enhance internal ESA dashboards with ML
• AI-supported procurement process