Machine learning Archives - Astrobiology

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“Machine learning”

Accelerating Radiative Transfer For Planetary Atmospheres by Orders of Magnitude with a Transformer-Based Machine Learning Model

Exoplanets, -moons, -comets

Accelerating Radiative Transfer For Planetary Atmospheres by Orders of Magnitude with a Transformer-Based Machine Learning Model

Bridging Machine Learning and Spectroscopy: A New Analysis for Astrochemical Target Selection

AI - Data - Apps - Cybernetics

Bridging Machine Learning and Spectroscopy: A New Analysis for Astrochemical Target Selection

Foundation Models for Astrobiology: Paper I — Workshop and Overview

Astrobiology (general)

Foundation Models for Astrobiology: Paper I — Workshop and Overview

Machine Learning Revolution For Exoplanet Direct Imaging Detection: Transformer Architectures

Exoplanets, -moons, -comets

Machine Learning Revolution For Exoplanet Direct Imaging Detection: Transformer Architectures

Accelerating Exoplanet Climate Modelling: A Machine Learning Approach To Complement 3D GCM Grid Simulations

Atmospheres, Climate, Weather

Accelerating Exoplanet Climate Modelling: A Machine Learning Approach To Complement 3D GCM Grid Simulations

Towards the Habitable Worlds Observatory: 1D CNN Retrieval of Reflection Spectra from Evolving Earth Analogs

Astronomy & Telescopes

Towards the Habitable Worlds Observatory: 1D CNN Retrieval of Reflection Spectra from Evolving Earth Analogs

Life At The Extremes: Maximally Divergent Microbes With Similar Genomic Signatures Linked To Extreme Environments

Extremeophiles and Extreme Environments

Life At The Extremes: Maximally Divergent Microbes With Similar Genomic Signatures Linked To Extreme Environments

Interpretable Machine Learning Biosignature Detection From Ocean Worlds Analogue CO2 Isotopologue Data

Water/Hycean Worlds & Oceanography

Interpretable Machine Learning Biosignature Detection From Ocean Worlds Analogue CO2 Isotopologue Data

The Astrobiology Data Ecosystem, Open Science, And The AI Era – NASA-DARES 2025 White Paper

NASA Astrobiology Program

The Astrobiology Data Ecosystem, Open Science, And The AI Era – NASA-DARES 2025 White Paper

Foundation Models For Astrobiology – NASA-DARES 2025 White Paper

NASA Astrobiology Program

Foundation Models For Astrobiology – NASA-DARES 2025 White Paper

NeurIPS 2024 Ariel Data Challenge: Characterisation of Exoplanetary Atmospheres Using a Data-Centric Approach

Exoplanets, -moons, -comets

NeurIPS 2024 Ariel Data Challenge: Characterisation of Exoplanetary Atmospheres Using a Data-Centric Approach

Ice Planet Assay: Machine Learning Model Calculates The Volume Of All Earth’s Glaciers

Icy Worlds

Ice Planet Assay: Machine Learning Model Calculates The Volume Of All Earth’s Glaciers

Earth-like Planet Predictor: A Machine Learning Approach

Exoplanets, -moons, -comets

Earth-like Planet Predictor: A Machine Learning Approach

Machine Learning Helps Construct An Evolutionary Timeline Of Bacteria

Origin & Evolution of Life

Machine Learning Helps Construct An Evolutionary Timeline Of Bacteria

Science Autonomy Using Machine Learning For Astrobiology – A White Paper For 2025 NASA DARES

Reports, Roadmaps, & Plans

Science Autonomy Using Machine Learning For Astrobiology – A White Paper For 2025 NASA DARES

Interpretable Machine Learning Biosignature Detection From Ocean Worlds Analogue CO2 Isotopologue Data

Biosignatures & Paleobiology

Interpretable Machine Learning Biosignature Detection From Ocean Worlds Analogue CO2 Isotopologue Data

Bridging Machine Learning And Cosmological Simulations: Using Neural Operators To Emulate Chemical Evolution

Origin & Evolution of Life

Bridging Machine Learning And Cosmological Simulations: Using Neural Operators To Emulate Chemical Evolution

Utilizing Machine Learning to Predict Host Stars and the Key Elemental Abundances of Small Planets

Exoplanets, -moons, -comets

Utilizing Machine Learning to Predict Host Stars and the Key Elemental Abundances of Small Planets

Grid-based Exoplanet Atmospheric Mass Loss Predictions Through Neural Network

Exoplanets, -moons, -comets

Grid-based Exoplanet Atmospheric Mass Loss Predictions Through Neural Network

Mapping the Edges of Mass Spectral Prediction: Evaluation of Machine Learning EIMS Prediction for Xeno Amino Acids

Biochemistry & Organic Chemistry

Mapping the Edges of Mass Spectral Prediction: Evaluation of Machine Learning EIMS Prediction for Xeno Amino Acids