---
title: "NASA and IBM release open-source Lunar Foundation Model"
url: https://www.parallelquant.com/posts/nasa-and-ibm-release-open-source-lunar-foundation-model-c036da
source_name: "The Decoder"
source_url: https://the-decoder.com/nasa-and-ibms-open-source-lunar-model-turns-17-years-of-orbiter-data-into-a-foundation-for-lunar-science/
published: 2026-10-04T10:10:12.000Z
topics: ["research", "open source"]
publisher: "Parallel Quant"
---

# NASA and IBM release open-source Lunar Foundation Model

*2026-10-04 · Source: [The Decoder](https://the-decoder.com/nasa-and-ibms-open-source-lunar-model-turns-17-years-of-orbiter-data-into-a-foundation-for-lunar-science/)*

NASA and IBM released the Lunar Foundation Model, one of the first open-source AI models for lunar science. It was trained on nearly 2 million tile bundles, mostly from 17 years of Lunar Reconnaissance Orbiter data. It reduces error in predicting polar ice deposits.

**Why it matters:** Foundation-model pretraining on a large, unlabeled scientific archive is spreading beyond Earth observation to planetary science. Better polar ice estimates feed directly into landing-site selection for future missions, and the open release lets outside groups fine-tune it for their own tasks.

**Topics:** research, open source

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Read the original: https://the-decoder.com/nasa-and-ibms-open-source-lunar-model-turns-17-years-of-orbiter-data-into-a-foundation-for-lunar-science/
Canonical: https://www.parallelquant.com/posts/nasa-and-ibm-release-open-source-lunar-foundation-model-c036da
Published by Parallel Quant — https://www.parallelquant.com