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NASA, IBM Launch AI Foundation Model for Lunar Science

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NASA, IBM Launch AI Foundation Model for Lunar Science

Overhead satellite mosaic showing Mons Rümker, a large, rounded volcanic mound on the Moon's surface surrounded by flat, dark lunar plains. The terrain is marked with impact craters of various sizes, with sharp sunlight casting deep, dark shadows along crater rims and the bumpy, elevated boundaries of the volcanic feature.
A 10-image mosaic captured by NASA’s Lunar Reconnaissance Orbiter’s Narrow Angle Camera between June 2012 and April 2016 showing the volcanic feature Mons Rümker and its surrounding mare plains.
NASA/GSFC/Arizona State University

NASA is bringing artificial intelligence to the study of the Moon, helping researchers transform how they analyze the Moon’s surface. In an ongoing collaboration with IBM Research and several academic institutions, NASA has launched the NASA-IBM Lunar Foundation Model, among the first open-source AI models built specifically for lunar science. The model, trained primarily on data from NASA’s Lunar Reconnaissance Orbiter (LRO), is hosted publicly on Hugging Face for anyone to use, with the complete codebase available on GitHub for testing and experimentation.

The NASA-IBM Lunar Foundation Model supports the next generation of lunar science by helping researchers quickly analyze vast quantities of data to better understand the Moon’s surface. Using the model as a mapping tool, researchers can rapidly develop actionable strategies for evaluating the Moon’s rugged surface, understanding its geological past, and planning future lunar research.

“NASA has spent decades building an extraordinary scientific record of the Moon, but collecting data is only part of the job,” said Kevin Murphy, chief science data officer and acting chief data and AI officer at NASA Headquarters in Washington. “We also have to make data easier for scientists to explore and use. The NASA-IBM Lunar Foundation Model shows what’s possible when we bring AI to NASA’s petabytes of scientific data. That’s a real opportunity we see with AI: turning large-scale data into new discoveries.”

Unlike traditional models that require building and training specialized algorithms from scratch for specific tasks, foundation models are pre-trained on vast, unlabeled datasets. The broad knowledge they acquire through pre-training allows them to generalize across multiple scientific domains through quick fine-tuning, making foundation models both versatile and efficient in accelerating scientific research.

The NASA-IBM Lunar Foundation Model shows what’s possible when we bring AI to NASA’s petabytes of scientific data.

Kevin Murphy

NASA Chief Science Data Officer and Acting Chief Data Officer/Chief AI Officer

Data collected by NASA’s LRO over the past 17 years was well-suited for training this foundation model because it covers most of the lunar surface in detail. The data produced from the LRO mission is larger than all other NASA planetary missions combined, capturing an almost seamless, high-resolution mosaic of the entire Moon. The NASA-IBM model was trained on roughly 2 million image tiles from this dataset, comprising more than 1 million high-resolution camera images at 1-meter resolution and nearly 964,000 multispectral images at 100-meter resolution. The model also was trained on high-resolution Moon imagery and terrain data from multiple other missions such as NASA’s GRAIL (Gravity Recovery and Interior Laboratory), NASA’s Lunar Prospector, and JAXA’s (Japan Aerospace Exploration Agency) Selenological and Engineering Explorer.

Because the foundation model is already pre-trained on this dataset, planetary scientists can adapt the model to many different lunar research tasks such as mapping craters, spotting young volcanic features, and estimating where ice may exist near the lunar poles by using only small amounts of labeled data. For researchers who study the Moon’s polar ice, the NASA-IBM model can help them estimate where ice patches are likely to be stable, on and below the surface. Dark areas like the Moon’s permanently shadowed regions remain cold enough to trap and preserve ice for up to billions of years. Studying these areas offers insight into the Moon’s history and presents an opportunity to map potentially usable resources for future space exploration.

The NASA-IBM model reproduces patterns of lunar ice prospectivity (scaled from blue to yellow), shown at four locations (left) near the Moon’s pole. Top row: reference ice prospectivity map of Mons Mouton near the lunar south pole; bottom row: predictions from the NASA-IBM model. The NASA-IBM model preserves many fine-scale prospectivity patterns in the reference data.
The NASA-IBM model reproduces patterns of lunar ice prospectivity (scaled from blue to yellow), shown at four locations (left) near the Moon’s pole. Top row: reference ice prospectivity map of Mons Mouton near the lunar south pole; middle row: predictions from the ConvNeXt model; bottom row: predictions from the NASA-IBM model. The NASA-IBM model preserves many fine-scale prospectivity patterns in the reference data.
NASA/IBM Research

While the Moon is thought to no longer be volcanically active, it once experienced dynamic geological processes. For researchers studying lunar volcanism, the NASA-IBM model accelerates the identification of unusual looking volcanic features known as irregular mare patches. Because these structures appear relatively young, they challenge established timelines for lunar cooling, and mapping them could help scientists piece together a more accurate understanding of the Moon’s thermal evolution.

The model also can map surface features, such as craters, more efficiently than manual methods. Every crater is formed by an impact, making crater counts and measurements essential for dating the lunar surface and reconstructing solar system history. The foundation model helps speed up the process of identifying and measuring craters, allowing scientists to focus on interpreting findings and determining their implications for exploration.

Side-by-side lunar surface images showing automated crater detection before and after a rocket impact. Numerous craters across the gray, terrain are enclosed in light blue bounding boxes. In the right image, a newly formed dark crater surrounded by bright ejecta is highlighted with a prominent red square bounding box.
These Lunar Reconnaissance Orbiter images show the Moon’s surface near Einstein crater before (left) and after (right) a SpaceX rocket body impact. The NASA-IBM Lunar Foundation Model detected existing craters (blue outlines) and highlighted the newly formed impact crater (red box). Because the post-impact image was excluded from pre-training, this test demonstrates how the model can be fine-tuned to recognize novel surface changes between observations. This approach can help scientists automatically detect natural impacts and surface changes across vast lunar datasets, though varying lighting conditions between orbits may influence smaller crater visibility.
NASA/IBM Research

Overall, the model matched or exceeded the performance of several other strong baseline models across all evaluated tasks, achieving comparable results on crater mapping and segmentation of irregular mare patches, while demonstrating a clear advantage on estimating polar ice stability.

The NASA-IBM Lunar Foundation Model is part of the agency’s Office of the Chief Science Data Officer’s strategy for AI for science — a larger, ongoing collaboration between NASA and IBM aimed at using advanced AI to explore our planet and solar system. It joins a growing collection of AI models developed through this partnership, including:

  • The Prithvi Models: a family of models pre-trained on Earth observation data and designed to support applications such as disaster monitoring, flood mapping, crop yield prediction, and hurricane prediction.
  • The Surya Model: a heliophysics model trained on high-resolution solar observation data to predict space weather phenomena such as solar flares which can disrupt power grids and satellite operations.

Within NASA, the Impact AI team at the agency’s Marshall Space Flight Center in Huntsville, Alabama, collaborated with scientists in the agency’s Science Mission Directorate Planetary Science Division, NASA’s Goddard Space Flight Center in Greenbelt, Maryland, and NASA’s Ames Research Center in California’s Silicon Valley, to build the NASA-IBM model. The model is an example of open science in action, uniting experts from NASA, industry, and academia to turn raw data into a resource for lunar discovery. To support the global research community, the team released comprehensive machine learning-ready pre-training datasets and benchmark collections alongside the model, which is integrated into the open-source TerraTorch toolkit. Supported by a companion paper available on Hugging Face, this open release ensures reproducible research and equips scientists worldwide to build, compare, and refine AI models for the future of lunar exploration.

The science team, assembled by NASA Headquarters, included experts from the Universities Space Research Association in Huntsville, Alabama; the SETI Institute in Silicon Valley, California; the University of Maryland, Baltimore County in Catonsville, Maryland; Howard University in Washington, D.C.; NASA’s Science Mission Directorate Planetary Science Division; NASA Ames; and NASA Goddard.

For more information about NASA’s strategy of developing foundation models for science, visit:

https://science.nasa.gov/artificial-intelligence-science

Source: science.nasa.gov

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NASA Answers President’s Call to Establish United States Space Academy

President Donald Trump presents an executive order establishing the United States Space Academy during an event to award the Congressional Space Medal of Honor to the Artemis II crew as Michael Kratsios, director of the Office of Science and Technology Policy, left; Kevin Hassett, director of the National Economic Council, third from left; and NASA Administrator Jared Isaacman, right, applaud, Friday, Aug. 28, 2026, at NASA’s Johnson Space Center in Houston.
Credit: NASA/John Kraus

Less than two weeks after an Executive Order was signed to create the first United States Space Academy, NASA-led work is in full swing to make the academy a reality and shape the future of America’s aerospace workforce and leadership.

NASA Administrator Jared Isaacman chaired the first Presidential Commission on the United States Space Academy meeting on Sept. 9. Following that meeting, NASA published a Request for Information Thursday seeking input from governors or their designees interested in hosting and sponsoring the up-and-coming academy in their state.

“Our first Commission meeting made clear how much talent and commitment we have behind President Trump’s vision for the U.S. Space Academy,” said NASA Administrator Jared Isaacman. “I’m grateful to our partners across government for getting right to work. Now, with the RFI underway, states across the country have an opportunity to help us shape a legacy institution built for America’s future in space.”

Isaacman and Deputy Administrator Matt Anderson welcomed key commission members from multiple agencies and organizations to NASA Headquarters in Washington for a collaborative Commission discussion. Participants included U.S. Secretary of War Pete Hegseth, Director of the National Economic Council Kevin Hassett, Secretary of the United States Air Force Troy Meink, and U.S. Chief Technology Officer Ethan Klein, representing Director of Office and Technology Policy Michael Kratsios, along with representatives from the U.S. Office of Management and Budget, the National Security Council, and the White House.

During the meeting, commission members began working through the structure and priorities of the proposed U.S. Space Academy, including its governance, curriculum, service commitments, partnerships, and implementation.

“The location of the U.S. Space Academy is foundational to its success,” said Anderson. “We’re asking states to bring their strongest vision — the infrastructure, the partnerships, and the community that can compete with the elite options this caliber of student will have and match the boundless ambition of our future space leaders.”

The commission’s 120-day mandate to develop recommendations for President Trump on how to establish the academy and build the technical talent and leadership pipeline needed to support America’s long-term goals in space began when the President signed the Executive Order on Aug. 28.

Responses to the RFI will help inform the commission’s path forward to selecting a location for the institution and are due by 6 p.m. EDT on Monday, Oct. 26. An ambitious timeline is outlined in the request, calling for a groundbreaking no later than 2027, temporarily hosting the first 300 students in 2028, and a permanent location in operation by 2031.

Each state is allowed one submission to the Announcement via its governor’s designee. In addition to details about resources available to support the academy, input sought on the potential campus includes:

  • Location information
  • Site readiness
  • Environmental and regulatory considerations
  • Proximity and supporting ecosystems

A fact sheet on the U.S. Space Academy is available on The White House website.

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George Alderman / Cheryl Warner
Headquarters, Washington
202-358-1600
[email protected] / [email protected]

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Source: www.nasa.gov

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NASA Invites Media to Djibouti Artemis Accords Signing Ceremony

NASA insignia.
Credit: NASA

The Republic of Djibouti will sign the Artemis Accords during a ceremony at 11 a.m. EDT, Monday, Sept. 14, at NASA Headquarters in Washington, becoming the 72nd country signatory.

NASA Deputy Administrator Matt Anderson will host Ambassador of Djibouti to the United States Mohamed Siad Douale for the ceremony, together with U.S. State Department Assistant Secretary for African Affairs Frank Garcia.

This event is in person only. Media interested in attending must RSVP no later than 8 a.m. on Sept. 14 to: [email protected]. NASA’s media accreditation policy is online.

In 2020, during the first Trump Administration, the United States, led by NASA and the State Department, joined with seven other founding nations to establish the Artemis Accords, responding to the growing interest in lunar activities by both governments and private companies.

The accords introduced the first set of practical principles aimed at enhancing the safety, transparency, and coordination of civil space exploration on the Moon, Mars, and beyond.

Learn more about the Artemis Accords at:

https://www.nasa.gov/artemis-accords

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Camille Gallo / Elizabeth Shaw
Headquarters, Washington
202-358-1600
[email protected] / [email protected]

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Sep 10, 2026

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Jessica Taveau

Source: www.nasa.gov

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APOD: 2026 September 11 – M83: The Southern Pinwheel

APOD

Astronomy Picture of the Day

Discover the cosmos! Each day a different image or photograph of our fascinating universe is featured, along with a brief explanation written by a professional astronomer.

A spiral galaxy is shown in front of a dark field of stars.

M83: The Southern Pinwheel

Explanation: Beautiful and bright spiral galaxy M83 lies some twelve million light-years away, near the southeastern tip of the very long constellation Hydra. Prominent spiral arms traced by dark dust lanes and blue star clusters lend this galaxy its popular name, the Southern Pinwheel. Still, reddish star forming regions that dot this cosmic pinwheel’s spiral arms have suggested another nickname, the Thousand-Ruby Galaxy. A mere 40,000 light-years across, smaller than the Milky Way, M83 is a member of a group of galaxies that includes active galaxy Centaurus A. In fact, the core of M83 itself is bright at x-ray energies, showing a high concentration of neutron stars and black holes left from an intense burst of star formation. This sharp, groundbased telescopic view also features foreground Milky Way stars and distant background galaxies.

APOD’s main NASA site is moving: From apod.nasa.gov to science.nasa.gov/apod
Tomorrow’s picture: lunar sun catcher

Date September 11, 2026
Credit & Copyright Aldo Zanetti
Authors & editors: Jerry Bonnell, Robert Nemiroff, Cecilia Chirenti, Keighley Rockcliffe
A service of: ASD at NASA / GSFC,
NASA Science Activation & Michigan Tech. U.

Source: science.nasa.gov

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NASA Boosts Open Science, Data Sharing with Artemis Accords

(April 6, 2026) – Poynting crater and Keeler crater are visible side by side in the lower right portion of this image of the Moon’s far side highlands. Poynting, positioned above, is a large impact crater with a well-defined rim and relatively smooth interior, indicative of material that has settled following the initial impact. Just below it, Keeler crater appears slightly smaller, with a sharply outlined rim and a more textured interior shaped by subsequent impacts and ejecta. Both features lie within the densely cratered far side highlands, preserving a record of ancient impacts that have shaped the lunar surface over billions of years.
Poynting crater and Keeler crater are visible side by side in the lower right portion of this image of the Moon’s far side highlands. Poynting, positioned above, is a large impact crater with a well-defined rim and relatively smooth interior, indicative of material that has settled following the initial impact. Just below it, Keeler crater appears slightly smaller, with a sharply outlined rim and a more textured interior shaped by subsequent impacts and ejecta. Both features lie within the densely cratered far side highlands, preserving a record of ancient impacts that have shaped the lunar surface over billions of years.
NASA

The science from every Moon rock sample, lunar dataset, and discovery produced through NASA’s Artemis program will be shared by the agency with the global scientific community. That commitment is upheld by all 71 countries that have signed the Artemis Accords, a set of principles for safe and transparent civil space exploration.

NASA put those principles into practice by hosting a two-part virtual workshop series that began July 28 and concluded Sept. 8, focusing on one key tenet of the Artemis Accords: the timely release of scientific data to the public and the international scientific community.

“As we return humans to the Moon, our Artemis efforts will help us unlock the full potential of scientific discovery through transparency, collaboration, and accessibility,” said Jacob Bleacher, chief exploration scientist at NASA. “We are making data, tools, and results freely available, and inviting the Artemis Accords partners to innovate with us and share their data as well, accelerating our understanding of lunar processes and laying the groundwork for human space exploration for the Moon, Mars and beyond.”  

The two recent workshops added to discussions led by the ISRO (Indian Space Research Organisation) in May, when signatories first explored ways to advance open data practices and created common ground for deeper conversations on open data. NASA split its follow‑on discussion about data sharing into two virtual sessions, so technical experts around the world could take part.

The agency hosted its first session on open science principles and implementation practices. It promoted interoperability and collaboration among signatories and advanced reproducibility, accessibility, and transparency in scientific work, including in NASA’s Artemis program.

The second session focused on tools for open science, providing Artemis Accords signatories with a working model to reference as they build or refine their own data-sharing frameworks.

“NASA is committed to leading by example when it comes to open science,” said Andrew Mitchell, deputy chief science data officer for NASA’s Science Mission Directorate, whose office leads the agency’s open science efforts. “These workshops gave our Artemis Accords partners practical tools and a shared foundation to build on as we move forward together.”  

NASA presented the Planetary Data System, one of the agency’s primary archives for planetary science data, openly available lunar data, data visualization and analysis tools, and the system’s data information model standard, offering a real-world example of how NASA structures, curates, and shares scientific data with the world.

Across both sessions, NASA shared practices developed over years of stewarding scientific data and opened the floor to technical experts across the Artemis Accords community, reflecting a deliberate effort to build alignment at the working level.

“Advances in technology help enable open science, but technology alone is insufficient,” said Mitchell. “Open science requires a shift to a more transparent and collaborative scientific process, which will increase the pace and quality of scientific progress. Scientific processes and results should be as open and repeatable as possible to encourage further study.”

In 2020, NASA and the State Department joined with seven other founding nations to establish the Artemis Accords in response to the growing interest in lunar activities by both governments and private companies. They introduced the first set of practical principles aimed at enhancing the safety and coordination between like-minded nations as they explore the Moon, Mars, and beyond, committing nations to:

  • explore peaceably and transparently
  • render aid to those in need
  • enable access to scientific data
  • ensure activities do not interfere with those of others
  • preserve historically significant sites and artifacts by developing best practices

By signing the Artemis Accords, nations open the door to opportunities for future lunar exploration with NASA, advancing humanity’s return to the Moon, and shaping the Golden Age of space exploration and innovation.

Learn more about the Artemis Accords at: 

https://www.nasa.gov/artemis-accords

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Source: www.nasa.gov