AIFuture
Back to news
AI ResearchThe Decoder·

NASA and IBM's open source lunar model turns 17 years of orbiter data into a foundation for lunar science

NASA and IBM's open source lunar model turns 17 years of orbiter data into a foundation for lunar science

NASA and IBM have released the Lunar Foundation Model, one of the first open-source AI models for lunar science. Trained on nearly 2 million tile bundles, mostly from 17 years of Lunar Reconnaissance Orbiter data, it cuts the error in predicting polar ice deposits. The article NASA and IBM's open source lunar model turns 17 years of orbiter data into a foundation for lunar science appeared first…

This is a summary curated by AIFuture. Read the complete article at the original source:

Read the full story on The Decoder

Build the skills behind the headlines

Generative AICoursera

Generative AI for Everyone

Andrew Ng explains how generative AI works and how to apply it in your work and life — no coding required.

Beginner·Subscription
View Course
Data ScienceCoursera

Machine Learning Specialization

Andrew Ng's flagship program covering supervised and unsupervised learning, neural networks, and best practices for real-world ML.

Beginner·Subscription
View Course
Data ScienceedX

CS50's Introduction to AI with Python

Harvard's deep dive into the algorithms behind modern AI — search, knowledge, optimization, and machine learning.

Intermediate·Free / Verified
View Course

Never miss what matters in AI

Get the most important AI news and course picks in your inbox.