Lunar Foundation Model

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Funded by the Office of the Chief Science Data Officer, the Lunar Foundation Model (LFM) is a joint effort between GSFC, MSFC, and IBM that will harness a large and diverse array of multi-modal datasets from recent missions with the goals to 1) Create a working example of a FM that demonstrates the construction and scientific use of FMs in planetary science, 2) Expand the community of machine learning practitioners within the lunar community and across planetary science, and 3) Pilot the use of FMs to lunar science and/or lunar exploration applications.