Machine learning Archives - Astrobiology

TAG

“Machine learning”

Noncanonical Genetic Markers Resolve The Pre-GOE Emergence Of Aerobic Bacteria In Earth’s History

Origin & Evolution of Life

Noncanonical Genetic Markers Resolve The Pre-GOE Emergence Of Aerobic Bacteria In Earth’s History

Towards Model-free Stellar Chemical Abundances. Potential Applications In The Search For Chemically Peculiar Stars In Large Spectroscopic Surveys

Astrochemistry

Towards Model-free Stellar Chemical Abundances. Potential Applications In The Search For Chemically Peculiar Stars In Large Spectroscopic Surveys

Hunting for “Oddballs” With Machine Learning: Detecting Anomalous Exoplanets Using a Deep-Learned Low-Dimensional Representation of Transit Spectra with Autoencoders

AI - Data - Apps - Cybernetics

Hunting for “Oddballs” With Machine Learning: Detecting Anomalous Exoplanets Using a Deep-Learned Low-Dimensional Representation of Transit Spectra with Autoencoders

An Improved Machine Learning Approach for RFI Mitigation in FAST-SETI Survey Archival Data

SETI & Technosignatures

An Improved Machine Learning Approach for RFI Mitigation in FAST-SETI Survey Archival Data

Machine Learning For Exoplanet Discovery: Validating TESS Candidates and Identifying Planets in the Habitable Zone

AI - Data - Apps - Cybernetics

Machine Learning For Exoplanet Discovery: Validating TESS Candidates and Identifying Planets in the Habitable Zone

Tricorder Tech: Machine Learning To Scan For Signs Of Extraterrestrial Life

Tricorders & Sensors

Tricorder Tech: Machine Learning To Scan For Signs Of Extraterrestrial Life

Carbox: An End-to-end Differentiable Astrochemical Simulation Framework

Astrochemistry

Carbox: An End-to-end Differentiable Astrochemical Simulation Framework

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