Missions, onboard computation and the engineering constraints of operating in orbit.
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NASA and IBM released a Lunar Foundation Model trained primarily on Lunar Reconnaissance Orbiter data for research tasks such as crater and volcanic-feature mapping and possible polar-ice analysis.
Source published 2026-09-10 · EmergingNASA reports that a COFFIES machine-learning model can predict the appearance of solar active regions, including far-side emergence, up to 12 hours before they appear.
Source published 2026-08-14 · ExperimentalTESSERA provides 10-meter, pixel-wise annual embeddings learned from Copernicus Sentinel-1 and Sentinel-2. ESA says the model first launched in 2025; its repository and a peer-reviewed CVPR 2026 paper now document the work.
Source published 2026-06-04 · DemonstratedA compressed NASA–IBM Prithvi geospatial model ran on the Kanyini satellite and the ISS IMAGIN-e payload in flood and cloud detection demonstrations.
Source published 2026-05-07 · ExperimentalAnomalyMatch processed 99.6 million Hubble Legacy Archive cutouts and the study reports 1,339 anomalies, more than 800 of them previously undocumented, with experts reviewing the candidates.
Source published 2025-12-16 · DemonstratedStarcloud says its Starcloud-1 satellite launched with an NVIDIA H100 and later trained nanoGPT in space.
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