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IBM, NASA Launch AI Model to Help Map Ice, Craters on Moon
The open-source system can identify ice deposits and classify craters with 23% fewer errors than a Microsoft baseline, NASA and IBM said.
- On Thursday, NASA and IBM released the NASA-IBM Lunar Foundation Model, an open-source AI system available on Hugging Face for analyzing decades of lunar observation data.
- Researchers previously struggled to analyze disjointed, multi-mission lunar data, as manual reviews or low-resolution tools lacked the accuracy needed to identify geographic features across vast archives.
- The model outperforms widely used methods by up to 23% in identifying key geographic features, including potential ice deposits, craters, and volcanic formations called Irregular Mare Patches.
- IBM and NASA scientists also released a unified dataset containing over 2 million data points, providing a standardized framework for the global research community to build future models.
- These tools support NASA's Artemis program by providing essential mapping for safe landing sites and identifying water and oxygen resources critical for a sustained human presence on the Moon.
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IBM and NASA release an open-source lunar foundation model
IBM and NASA are releasing an AI model trained on decades of observations of the Moon, and making it available openly. The NASA-IBM Lunar Foundation Model is arriving on Hugging Face alongside what its creators describe as the first unified, machine-learning-ready dataset of the Moon. The problem is not a lack of data; it is […] This story continues at The Next Web
·Amsterdam, Netherlands (Kingdom of the)
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Powerful new AI model will map the moon's surface in more detail than ever, NASA and IBM scientists say
IBM and NASA have partnered to create the Lunar Foundation Model, a new AI capable of processing decades of lunar data so we can more accurately map the moon's surface.
·New York, United States
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Coverage Details
Total News Sources12
Leaning Left2Leaning Right0Center7Last UpdatedBias Distribution78% Center
Bias Distribution
- 78% of the sources are Center
78% Center
L 22%
C 78%
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