Built around
open scientific questions.
Space-Native AI is an emerging independent initiative connecting machine learning, autonomous scientific discovery and research beyond Earth.
Space-first problems. Machine-learning questions.
Our aim is to establish an interdisciplinary conversation about what intelligence needs to learn, observe and decide when scientific activity takes place outside familiar terrestrial conditions.
Space-Native AI starts as an independent, openly accessible research agenda. It is not currently an incorporated association, an accredited academic institution, a conference-approved workshop or an active space mission.
Future talks, research tracks and workshop proposals are aspirations, not confirmed institutional partnerships or accepted conference events.
The person behind the initial agenda.
Bingyi Zhao
Founder of Space-Native AI. Focused on community development, scientific communication, and interdisciplinary research collaboration across machine learning and space science.
Darmstadt, Germany. Personal academic or professional affiliations, where applicable, do not constitute institutional sponsorship of this initiative.
A home for research questions that bridge AI and space science.
Interested contributors can join the 2026 open call through the public GitHub repository.
Contribute to the agenda ↗