Conference Topics

The 3rd IAA Conference on AI for Space (IAA SpaceAI 2026) invites researchers, engineers, industry professionals, and policymakers to submit original contributions on the development and deployment of AI technologies for space and aerospace systems.

The conference welcomes contributions on AI-enabled optimization, autonomy, and trustworthy, energy-efficient intelligent computing, spanning algorithms, applications, hardware platforms, and system-level integration.


Topics include, but are not limited to:

1) Autonomous & Intelligent Space Systems

Autonomous spacecraft operations (GNC, FDIR/FDI)
Deep-space autonomy (delay-tolerant operations)
Distributed intelligence for constellations
Mission planning, scheduling, and resource optimization
Onboard health management, fault diagnosis, and prognostics
Cyber-resilient autonomous systems
Onboard, Edge, and Embedded AI

2) Onboard data filtering and prioritization
Embedded and flight-qualified AI architectures
Low-power inference optimization (compression, quantization, pruning)
TinyML and microcontroller AI
Real-time multimodal processing
Continual and adaptive onboard learning
AI-Enabled Space Applications

3) Space debris detection and tracking
SSA and STM (detection, tracking, prediction, decision support)
Intelligent Earth observation and remote sensing analytics
Autonomous landing and terrain-relative navigation
Space robotics (on-orbit servicing, planetary exploration)
Space weather analytics and forecasting
Neuromorphic & Emerging AI Architectures

4) Spiking Neural Networks (SNNs)
ANN-to-SNN conversion
Event-based sensing and neuromorphic vision
Memristive and emerging nonvolatile AI hardware
Hardware Reliability & System Integration

5) Energy-efficient processors (NPU, FPGA, ASIC)
Crossbar and Compute-in-Memory (CIM)
Radiation effects and mitigation
Reliability in harsh environments (thermal, vacuum, vibration)
Hardware–software co-design and deployment toolchains
Space qualification and TRL validation
Space AI Policy, Governance & Standards(Cross-cutting Track)

6) AI governance for space missions (safety, accountability)
STM policy, governance, and coordination Standards, verification, and certification for AI-enabled space systems
Data policy for space/EO (sharing, sovereignty, security)
Ethical and responsible AI for space operations
International cooperation and dual-use considerations