Moon research advances with NASA, IBM model

The model was developed using data from NASA’s Lunar Reconnaissance Orbiter and GRAIL missions, along with complementary observations from Japan’s SELENE/Kaguya mission.

NASA chief science data officer and acting Chief Data and AI officer Kevin Murphy said the model demonstrates how AI can make NASA’s extensive scientific data easier for researchers to explore.

IBM Research Europe director Juan Bernabe-Moreno said the model allows scientists to connect observations from different instruments and identify patterns that may be difficult to detect when data are analyzed separately.

The model is part of IBM’s Prithvi family of open foundation models covering areas such as geospatial science, weather and heliophysics.