[cs.LG] A central challenge in de novo protein design is generating proteins with desired structural and functional properties.
cs.LG
Posted inAI - Data - Apps - Cybernetics, Biochemistry & Organic Chemistry, Biosignatures & Paleobiology
Can AI Detect Life? Lessons From Artificial Life
[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 […]
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 […]
![Using spectra to distinguish a (passive) probe from a natural object. These near-IR spectra were obtained for the object classified initially as 2020 SO. These spectra show characteristics consistent with the object instead being a Centaur rocket body, leading to its identification as such. (Adapted from and reproduced with permission from “Spectral Characterization of 2020 SO,” Reddy et al., original copyright © 2001 Advanced Maui Optical and Space Surveillance Technologies Conference [AMOS], https://doi.org/10.64861/WYST9178)](https://i0.wp.com/astrobiology.com/wp-content/uploads/2026/06/Solar-System.png?resize=1200%2C712&ssl=1)
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, Biosignatures & Paleobiology, Intelligence & Language, SETI & Technosignatures, Status Report
Solar System Technosignatures
While prompt-based parameter-efficient continual learning mitigates catastrophic forgetting by isolating task-specific prompts, this isolation also limits later tasks from improving earlier ones, leaving backward knowledge transfer underexplored.
Posted inBiochemistry & Organic Chemistry, Biophysics, Biosignatures & Paleobiology, Commercial & Private Sector, Genomics, Proteomics, Bioinformatics, Nanotechnology & SynBio, Status Report
Exploring Molecular Assembly As A Biosignature Using Mass Spectrometry And Machine Learning
Molecular assembly offers a promising path to detect life beyond Earth, while minimizing assumptions based on terrestrial life.
Posted inAI - Data - Apps - Cybernetics, Atmospheres, Climate, Weather, Biogeochemical Cycles & Geobiology, Gaia - Planetary Perspectives, Habitable Zones, Imaging & Spectroscopy, Status Report
Conditional Diffusion-Based Retrieval of Atmospheric CO2 From Earth Observing Spectroscopy
Satellite-based estimates of greenhouse gas (GHG) properties from observations of reflected solar spectra are integral for understanding and monitoring complex terrestrial systems and their impact on the carbon cycle due […]
Posted inAI - Data - Apps - Cybernetics, Away Teams & Field Reports, Exploration Gear & Tech, Genomics, Proteomics, Bioinformatics, Imaging & Spectroscopy, Robotics/Rovers/UAVs, Status Report, Tricorders & Sensors
Building Machine Learning Challenges for Anomaly Detection in Science
Editor’s note: When we send Away Teams on Astrobiology and Astrogeology expeditions to other worlds they are going to need to be rather self-contained. Indeed, the bulk of their preliminary […]
Posted inAway Teams & Field Reports, Biosignatures & Paleobiology, Caves, Craters, Mountains, Subsurface, Lava Tubes, Exploration Gear & Tech, Mars, Robotics/Rovers/UAVs, Status Report, Tricorders & Sensors
Biomolecular Analysis of Soil Samples and Rock Imagery for Tracing Evidence of Life Using a Mobile Robot
The search for evidence of past life on Mars presents a tremendous challenge that requires the usage of very advanced robotic technologies to overcome it.