[astro-ph.EP] CARMApy is a new open-source python code that performs bin-scheme microphysical modeling of clouds in exoplanet atmospheres.
AI
Posted inAI - Data - Apps - Cybernetics
The Role Of Artificial Intelligence In The SKA Era
[astro-ph.IM] The Square Kilometre Array Observatory (SKAO) will usher in an era of unprecedented data complexity and scientific opportunity in radio astronomy, producing petabyte-scale datasets and terabit-per-second streams that challenge […]
Posted inCourses
Deep Learning for Astrophysics: An Open Textbook from the NASA Cosmic Origins AI/ML Science and Technology Interest Group
[astro-ph.IM] The astronomical community’s ability to use modern machine learning shapes the science return of upcoming facilities.
Posted inGenomics, Proteomics, Bioinformatics
Responsible Use of Large Language Models in Microbial Genomics and Bioinformatics: A Life-Science Framework for Reliability, Reproducibility, and Risk-Aware Interpretation
Editor’s note: As we expand outward from Earth to other worlds we are almost certainly going to encounter things we did not expect to find – things that are unlikely […]
Posted inUncategorized
Machine Learning And Deep Learning For Exoplanet Detection And Atmospheric Characterization With JWST And The Upcoming Ariel Mission
[astro-ph.IM] The detection and atmospheric characterization of exoplanets have entered a new data-intensive era driven by the James Webb Space Telescope and the upcoming Ariel mission.
Posted inAI - Data - Apps - Cybernetics
Astrobiology In The Time of Artificial Intelligence
The Viking missions showcased multiple spaceflight technologies representing state-of-the-art capabilities: from digital line-scan imaging to the operation of complex onboard laboratories and software-controlled process autonomy.
Posted inOrigin & Evolution of Life
Directing Open-Ended Evolution in Artificial Life via Multi-Scale Path Divergence
Open-ended evolution (OEE) in artificial life is typically driven by uninterpretable, black-box neural-network complexity metrics, leaving life-like systems disconnected from physical theories of complexity.
Posted inAI - Data - Apps - Cybernetics, Analog Studies, Atmospheres, Climate, Weather, Exoplanets, -moons, -comets, Gaia - Planetary Perspectives, Imaging & Spectroscopy, Press Release, Water/Hycean Worlds & Oceanography
Water Planet Recon: New AI Approach Reveals Earth’s Ocean Currents In Unprecedented Detail
Editor’s note: when our first missions – human or robotic – arrive at a new world we’ll want to do glean as much information from space – via fly by […]
Posted inAI - Data - Apps - Cybernetics, Biosignatures & Paleobiology, Exploration Gear & Tech, Intelligence & Language, Press Release, SETI & Technosignatures, Water/Hycean Worlds & Oceanography
CETI, SETI, And Seismology Synergies: AI Model Hears Whale Calls In Seismic Data
Researchers repurposed an AI model designed for visual identification tasks to detect Bryde’s whale calls contained with seismic data collected in the South China Sea.
![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.