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AI Astrobiology Life Detection & Biosignatures

NEW LITERATURE ADDED REGULARLY

2024: 

Automated Discovery of Anomalous Features in Ultralarge Planetary Remote-Sensing Datasets Using Variational Autoencoders. 2024, Lesnikowski et al., IEEE 

https://ieeexplore.ieee.org/document/10444013

Keywords: Deep Learning, Generative Models, Technosignatures, Moon

2023:

A robust, agnostic molecular biosignature based on machine learning. 2023, Cleaves H. J. et al., PNAS

https://doi.org/10.1073/pnas.2307149120

Keywords: Random Forest, Biosignatures

Signatures of Life Detected in Images of Rocks Using Neural Network Analysis Demonstrate New Potential for Searching for Biosignatures on the Surface of Mars. 2023, Corenblit et al., Astrobiology Journal.

http://doi.org/10.1089/ast.2022.0034

Keywords: Biosignatures, Neural Net, CNN, Mars, Optimization

Towards a Biosignatures Image Detection System for Planetary Exploration with UAVs. 2023, Galvez-Serna, J. et al. IEEE Aerospace Conference.

https://ieeexplore.ieee.org/document/10115661

Keywords: Biosignatures, CNN, Imaging

Using a neural network approach to accelerate disequilibrium chemistry calculations in exoplanet atmospheres. 2023, Hendrix, J. L. A. M et al. Monthly Notices of the Royal Astronomical Society.

https://doi.org/10.1093/mnras/stad1763

Keywords: Exoplanets, Modeling, Neural Nets

Orbit-to-ground framework to decode and predict biosignature patterns in terrestrial analogues. 2023, Warren-Rhodes, K. Nat Astron.

https://doi.org/10.1038/s41550-022-01882-x

Keywords: Biosignatures, CNN, Deep Learning, Mapping

2022:

Epistemology and anomaly detection in astrobiology. 2022, Kinney, D., Kempes, C. Biol Philos.

https://doi.org/10.1007/s10539-022-09859-w

Keywords: Review, Fundamental Principles

2006:

Acid Distribution in Meteorites: Diagenesis, Extraction Methods, and Standard Metrics in the Search for Extraterrestrial Biosignatures. 2006, McDonald G. D. and Storrie-Lombardi M. C., Astrobiology Journal.

http://doi.org/10.1089/ast.2006.6.17

Keywords: Biosignatures, Cluster Analysis, Neural Nets