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  1. Home
  2. Foundation Models For Astrobiology: Paper I-workshop And Overview.
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Foundation Models for Astrobiology: Paper I-Workshop and Overview.

Ryan Felton1, Caleb Scharf1, Stuart Bartlett2,3

  • 1NASA Ames Research Center, Moffett Field, California, USA.

Astrobiology
|December 10, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Foundation Models (FMs), powerful AI trained on vast datasets, offer rapid development of diverse applications. This research explores their potential for astrobiology, from biosignature detection to mission operations.

Keywords:
Foundation models—Machine learning—Astrobiology—Workshops

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Area of Science:

  • * Astrobiology
  • * Artificial Intelligence
  • * Machine Learning

Background:

  • * Machine learning (ML) has advanced significantly, enabling complex data analysis.
  • * Foundation Models (FMs) represent a new paradigm in ML, trained on large datasets with numerous parameters.
  • * FMs offer flexibility and can be rapidly adapted for various downstream applications with reduced resource demands.