[cs.LG] Modern machine learning methods have been proposed to detect life in extraterrestrial samples, drawing on their ability to distinguish biotic from abiotic samples based on training models using natural […]
Machine learning
Posted inMars
Deep Learning of SHERLOC Raman Spectra For Facilitating Mars Astromaterial Identification
[Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy] Raman spectroscopy has been explored for planetary exploration, particularly through the SHERLOC instrument for Mars habitability and astromaterial search tasks.
Posted inGenomics, Proteomics, Bioinformatics
A Genomic Catalog Of Earth’s Bacterial And Archaeal Symbionts
[Nature Biotechnology] Microbial symbiosis drives the functional and phylogenomic diversification of life on Earth yet remains underexplored because of culturing challenges.
Posted inNanotechnology & SynBio
Advances in Machine Learning for Directed Evolution: A Five-Year Retrospective
[q-bio.BM] The last five-plus years have seen many protein engineering disciplines transformed by advances in machine learning (ML), but the same cannot be said for directed evolution.
Posted inOrigin & Evolution of Life
ReactionAtlas: Ab Origine Exploration Of Chemical Reaction Networks With Machine Learning
[cs.LG] Mapping a chemical reaction network, the graph of minima and transition states (TS) and the elementary reactions connecting them, is the natural language of chemistry, from catalysis to combustion […]
![Schematic of generative process to determine most chemically relevant molecular candidates for the unassigned spectroscopic transitions.-- [astro-ph.GA]](https://i0.wp.com/astrobiology.com/wp-content/uploads/2026/08/Automated.png?resize=1200%2C711&ssl=1)
Posted inAstrochemistry
Automated Assignment and Prediction of Molecules in Astronomical Line Surveys Using Machine-Learning-Based Chemical Embeddings
[astro-ph.GA] Modern radio telescopes generate vast amounts of observational data, offering valuable insights into the molecular composition of interstellar sources. Identifying the molecules within these datasets typically involves time-consuming and […]
Machine Learning in Solar and Planetary Research Summer school
The Europlanet Early Career Network and the Europlanet Machine Learning Working Group is excited to announce the Machine Learning in Solar and Planetary Research Summer school. Being organized by Space […]
Posted inBiosignatures & Paleobiology
Mineral Biosignature Identification From Raman Spectroscopy Using Machine Learning
[PNAS] Biosignature detection remains a key challenge in astrobiology, yet robust mineral biosignatures remain limited. Raman spectroscopy is increasingly applied in planetary exploration, but its high-dimensional spectral information has not […]
Posted inAstrochemistry
Experimental Astrochemistry And Machine Learning Unravel The Formation Of Oxygen-bearing Organic Molecules In Extraterrestrial Ices
[Nature Communications Chemistry] Oxygen-bearing organic molecules, including aldehydes, alcohols, and peroxides, serve as key precursors to complex organics in extraterrestrial environments. Their non-equilibrium formation mechanisms critically constrain the molecular complexity […]
Posted inBiosignatures & Paleobiology
Orbital Biosignature Assay: Watching Forests Grow From Space
[Chinese Academy of Sciences] Forests are central to climate mitigation, yet tracking how fast they grow over decades remains difficult.