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OMB Individually Reported

Lunar Foundation Model for Planetary Sciences

Low riskExact public inventory row

Description

Foundation Model trained on LRO WAC, NAC, and RTM imagery to assist lunar scientists with AI applications regarding the surface processes of the moon

Detailed example

surface processes of the moon

AI / analytics pattern

Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.

Automation level / stage

a) Pre-deployment – The use case is in a development or acquisition status.

Expected benefit

Foundation Model trained on LRO WAC, NAC, and RTM imagery to assist lunar scientists with AI applications regarding the surface processes of the moon

Controls / human review

ATO: Not reported; PIA: Not published

Source

OMB 2025 Federal Agency AI Use Case Inventory

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