IBM and NASA release Open-Source AI model to support lunar exploration

IBM and NASA announced the open-source release of the NASA-IBM Lunar Foundation Model, according to a report published by portalerp.com. The article describes the model as one of the first publicly available foundation models for scientific exploration of the Moon. The release is described as open source, meaning the model is made publicly available rather than kept inside the organisations that built it.

The model was trained on a lunar observation dataset curated by IBM and NASA researchers, according to the announcement. That dataset is described as drawing on decades of multi-instrument data collected about the Moon. The stated intention is to help scientists turn that body of data into insights that support a sustained human presence on the Moon. Both organisations are named in the model's title, and the work is presented as a joint effort between them. The article does not name individual researchers.

The report frames the release around scientific exploration of the Moon rather than general-purpose or commercial use. It states that the model is intended to help researchers work with multi-instrument lunar observation data, and to convert that data into insights connected to a sustained human presence on the Moon. The article provides no information on the model's size, its licence terms, the instruments represented in the dataset, or an availability date. No benchmark results or training compute figures are reported either.