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Using artificial intelligence to transform astrobiology

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The search for life elsewhere involves variables across multiple scales in time and space, often nested hierarchically. We suggest that the emergence of artificial intelligence learning systems offers critically important ways to make progress.

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Authors and Affiliations

  1. NASA Ames Research Center, Moffett Field, CA, USA

    Caleb A. Scharf & Penelope J. Boston

  2. Exobiology Branch, NASA Ames Research Center, Moffett Field, CA, USA

    Marisa H. Mayer

Authors
  1. Caleb A. Scharf
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  2. Marisa H. Mayer
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  3. Penelope J. Boston
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Corresponding author

Correspondence to Caleb A. Scharf.

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The authors declare no competing interests.

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Scharf, C.A., Mayer, M.H. & Boston, P.J. Using artificial intelligence to transform astrobiology. Nat Astron 8, 8–9 (2024). https://doi.org/10.1038/s41550-023-02159-7

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