Published in Nature Astronomy · View the paper (DOI)
Researchers from UCL and University of Arizona developed a 'deep learning' approach called PlanetNet to detect storms on Saturn. The algorithm accurately maps the components and features in turbulent regions, revealing previously undetected atmospheric features such as ammonia ice clouds.
Coverage from 2 institutions
- Deep learning takes Saturn by storm University College London · Apr 29, 2019 · first to report
- Giant planets and big data: What deep learning reveals about Saturn's storms University of Arizona · Apr 29, 2019