A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological processes and could be used to analyze samples returned by current and future planetary […]
Machine learning
Posted inAI - Data - Apps - Cybernetics, Astrochemistry, Biochemistry & Organic Chemistry, Biophysics, Biosignatures & Paleobiology, Imaging & Spectroscopy, Interstellar, Press Release
Carbox: An End-to-end Differentiable Astrochemical Simulation Framework
Since the first observations of interstellar molecules, astrochemical simulations have been employed to model and understand its formation and destruction pathways.
Posted inAI - Data - Apps - Cybernetics, Atmospheres, Climate, Weather, Biogeochemical Cycles & Geobiology, Exoplanets, -moons, -comets, Status Report
Accelerating Radiative Transfer For Planetary Atmospheres by Orders of Magnitude with a Transformer-Based Machine Learning Model
Radiative transfer calculations are essential for modeling planetary atmospheres. However, standard methods are computationally demanding and impose accuracy-speed trade-offs. High computational costs force numerical simplifications in large models (e.g., General […]
Posted inAI - Data - Apps - Cybernetics, Astrochemistry, Astronomy & Telescopes, Biochemistry & Organic Chemistry, Biosignatures & Paleobiology, Imaging & Spectroscopy, Status Report
Bridging Machine Learning and Spectroscopy: A New Analysis for Astrochemical Target Selection
In the last few years, several approaches have used machine learning to reproduce the inventory and column densities of interstellar molecular sources.
Posted inAI - Data - Apps - Cybernetics, Astrobiology (general), Biosignatures & Paleobiology, Reports, Roadmaps, & Plans, Status Report
Foundation Models for Astrobiology: Paper I — Workshop and Overview
Advances in machine learning over the past decade have resulted in a proliferation of algorithmic applications for encoding, characterizing, and acting on complex data that may contain many high dimensional […]
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, Exoplanets, -moons, -comets, Imaging & Spectroscopy, Status Report
Machine Learning Revolution For Exoplanet Direct Imaging Detection: Transformer Architectures
Directly imaging exoplanets is a formidable challenge due to extreme contrast ratios and quasi-static speckle noise, motivating the exploration of advanced post-processing methods.
Posted inAI - Data - Apps - Cybernetics, Atmospheres, Climate, Weather, Exoplanets, -moons, -comets, Gas Giants, Status Report
Accelerating Exoplanet Climate Modelling: A Machine Learning Approach To Complement 3D GCM Grid Simulations
With the development of ever-improving telescopes capable of observing exoplanet atmospheres in greater detail and number, there is a growing demand for enhanced 3D climate models to support and help […]
Posted inAI - Data - Apps - Cybernetics, Analog Studies, Astrogeology, Astronomy & Telescopes, Atmospheres, Climate, Weather, Biosignatures & Paleobiology, Habitable Zones, Imaging & Spectroscopy, Press Release
Towards the Habitable Worlds Observatory: 1D CNN Retrieval of Reflection Spectra from Evolving Earth Analogs
However, traditional atmospheric retrieval frameworks are too computationally intensive to explore the high-dimensional parameter spaces such missions will generate.
Posted inAI - Data - Apps - Cybernetics, Biochemistry & Organic Chemistry, Biophysics, Biosignatures & Paleobiology, Extremeophiles and Extreme Environments, Genomics, Proteomics, Bioinformatics, Microbiology & Virology, Nomenclature, Systematics, Natural History, Status Report
Life At The Extremes: Maximally Divergent Microbes With Similar Genomic Signatures Linked To Extreme Environments
Extreme environments impose strong mutation and selection pressures that drive distinctive, yet understudied, genomic adaptations in extremophiles.
Posted inAI - Data - Apps - Cybernetics, Astrogeology, Astronomy & Telescopes, Biosignatures & Paleobiology, Enceladus, Europa, Exoplanets, -moons, -comets, Habitable Zones, Imaging & Spectroscopy, Mapping, Geodesy, Cartography, Bathymetry, Origin & Evolution of Life, Status Report, Water/Hycean Worlds & Oceanography
Interpretable Machine Learning Biosignature Detection From Ocean Worlds Analogue CO2 Isotopologue Data
Future missions to icy ocean worlds (OW) such as Europa and Enceladus will evaluate the habitability and potential for biosignatures on these worlds.