3rd IAA Conference on AI for Space

IAA SpaceAI 2026 envisions a vivid exchange of ideas, concepts, and challenges between the fields of AI and space, building a bridge between them.

Thus, we encourage a broad range of scientists and practitioners from both fields to submit their ideas and work.

Specifically, we invite researchers and engineers from the space domain to contribute their work on applying AI methods to space applications.

Similarly, we invite researchers and engineers from the AI area to contribute work on novel methods

they believe would be of high impact and interest to the space domain.

To contribute to IAA SpaceAI 2026, please submit a short paper of up to 4 pages.

(excluding references, acknowledgments, data, ethics statements and funding statements)

Submitted papers should focus on both novel or emerging AI techniques and their applications to specific space domains.

Papers will be selected for oral and poster presentations following a single round of double-blind peer review.

Authors of papers accepted for an oral presentation will be invited to submit a revised manuscript for inclusion in the conference proceedings.

Template and submission guidelines can be found below. You can find the submission page here.

Conference Awards

To recognize outstanding research contributions presented at the conference, the 3rd IAA Conference on AI for Space (IAA SpaceAI 2026) will present the following awards:

Best Paper Award
The Best Paper Award will be presented to the author(s) of the paper judged to have made the most significant scientific contribution to the conference.
The award includes a prize of 400 CHF.
Best Student Paper Award
The Best Student Paper Award will be presented to the student author(s) of an outstanding paper demonstrating originality, technical excellence, and potential impact in the field of artificial intelligence for space applications.
The award includes a prize of 400 CHF.

Both awards will be presented during the conference by the Conference Chairs.

Sponsored by
The awards are generously supported by the journal Aerospace (MDPI).

AI techniques
- Deep learning architectures (Transformers, convolutional neural networks, autoencoders, graph neural networks, physics-informed neural networks, …)
- Shallow learning architectures (decision trees, kernel machines, Gaussian processes, AutoML, reservoir computing, …)
- Probabilistic and causal models (Bayesian inference, generative models, …)
- Optimization and control (evolutionary & genetic algorithms, reinforcement learning, …)
- Efficient learning paradigms (zero-shot learning, one-shot learning, few-shot learning, continual learning, meta-learning, ...)
- Theory and foundations of AI (computational complexity, generalization bounds, explainability, interpretability, ...)
- Natural language processing (large language models, reasoning, ...)
- Computer Vision (image segmentation, object detection, …)
- Neuro-inspired AI (spiking neural networks, neuromorphic computing, analog computing, ...)
- Emerging hardware systems (quantum computing, AI accelerators, in-memory computing, hardware/software co-design, …)
- Evaluation (methodology, metrics, benchmark datasets, meta studies, ...)
- Social and economic aspects of machine learning (energy demands, environmental impact, data privacy, governance, security, ...)

Abstract Submission Deadline

Notification of Acceptance

Early Bird Registration Deadline

Final Paper Submission

Publication

Conference Awards

Author Registration Policy

Covered Topics

Submission Template and Guidelines

Key Guidelines

Contact

IAA SpaceAI

IAA Space AI