IBM, NASA Release Open-Source AI Model Trained on Moon Data
By Elias Schisgall
International Business Machines and the National Aeronautics and Space Administration released an open-source artificial-intelligence model designed for research about the Moon.
The open-source model is trained on extensive lunar observation data and is designed to "help scientists turn decades of complex, multi-instrument data into insights to support the establishment of a sustained human presence on the Moon," IBM said Thursday.
As part of developing the model, IBM and NASA constructed what they described as the first open-source dataset that unifies lunar data in a form suitable for machine learning.
The model can help scientists research lunar phenomena including ice deposits, craters, and the Moon's volcanic history, the company said.
"The NASA-IBM Lunar Foundation Model gives scientists a foundation to explore the Moon at scale, connecting observations across instruments, revealing patterns that are difficult to see in isolation, and providing an open platform the global research community can build on," Juan Bernabe-Moreno, director of IBM Research Europe, U.K., and Ireland, said.
Write to Elias Schisgall at elias.schisgall@wsj.com
(END) Dow Jones Newswires
September 10, 2026 12:19 ET (16:19 GMT)
Copyright (c) 2026 Dow Jones & Company, Inc.The articles, information, and content displayed on this webpage may include materials prepared and provided by third parties. Such third-party content is offered for informational purposes only and is not endorsed, reviewed, or verified by Morningstar.
Morningstar makes no representations or warranties regarding the accuracy, completeness, timeliness, or reliability of any third-party content displayed on this site. The views and opinions expressed in third-party content are those of the respective authors and do not necessarily reflect the views of Morningstar, its affiliates, or employees.
Morningstar is not responsible for any errors, omissions, or delays in this content, nor for any actions taken in reliance thereon. Users are advised to exercise their own judgment and seek independent financial advice before making any decisions based on such content. The third-party providers of this content are not affiliated with Morningstar, and their inclusion on this site does not imply any form of partnership, agency, or endorsement.
Popular
4 Stocks to Buy Before They Rise Further
2 Undervalued Stocks to Buy Before They Rebound
The 10 Best Companies to Invest in Now
The 10 Best Dividend Stocks
United States