Keith’s note: Goodbye ADS – Hello SciX. According to an editorial “Farewell NASA ADS” in Nature magazine, “After more than 33 years, NASA’s Astrophysics Data System will close its virtual […]
AI – Data – Apps – Cybernetics
![Architecture and workflow of AstroGenesis. Researchers interact with the system through a chatbot interface and select an appropriate DSRM corresponding to the astrophysical source class under investigation. Within the selected DSRM, a Supervisor Agent coordinates task execution through a Planner/Replanner and a set of specialized agents responsible for literature analysis, observational data retrieval, theoretical modeling, and research ideation. These agents operate using external tools which include, astrophysical tools, data-analysis modules, and pre-trained models to perform modeling of the data, etc. -- [astro-ph.IM]](https://i0.wp.com/astrobiology.com/wp-content/uploads/2026/10/AstroGenesis.png?resize=1200%2C722&ssl=1)
Posted inAI - Data - Apps - Cybernetics
AstroGenesis: A Domain-Specific Multi-Agent AI for Astrophysical Research
[astro-ph.IM] Modern astrophysical research requires the integration of rapidly expanding scientific literature, heterogeneous observational data, and increasingly complex physical models.
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 inAstronomy & Telescopes
Artifact InSPECtor: Refining Data From Space Telescopes
[NASA] How do scientists studying space with data from a telescope hundreds of thousands of miles away know that what they are seeing is real? A new NASA project, Artifact […]
Posted inExoplanets, -moons, -comets
AstroFetch: AI-powered Exoplanet Assistant
[NASA Exoplanet Archive] We’re excited to announce that AstroFetch, an AI-powered assistant that answers natural-language questions about exoplanets using archive data, is now in open beta.
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 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 […]
Posted inPlanetary Protection & Biosafety
Predicting Fungal Contaminants for Space Missions Using Proteome-Wide Screening for Protein Orthologs
[biorxiv.org]. Fungal contamination poses a growing threat to spacecraft integrity, crew health, and planetary protection efforts.
![Three-dimensional layout of the four-aperture SELF optical model implemented in Ansys Zemax OpticStudio (Ansys, Inc. 2024), showing the arrangement of the primary and secondary mirrors, together with the optical path used for focalplane image generation. The inset provides a magnified view of the secondary mirrors. -- [astro-ph.IM]](https://i0.wp.com/astrobiology.com/wp-content/uploads/2026/08/Deep-Learning.png?resize=1200%2C720&ssl=1)
Posted inBiosignatures & Paleobiology
Deep Learning-Based Coarse Alignment and Cophasing of a Distributed-Aperture Telescope. Application to the Small ExoLife Finder (SELF)
[astro-ph.IM] The ExoLife Finder (ELF), a 35–50-meter-class Fizeau interferometric telescope, was designed to detect biosignatures on exoplanets through direct imaging. The Small ExoLife Finder (SELF), a 3.5-meter prototype, serves as […]
![An example RV fit with Alfred on the TOI-6054 system (M. A. Kroft et al. 2025), with Gaussian priors on the planets’ periods and conjunction times. This fit demonstrates Alfred’s ability to fit multiple planets and multiple datasets simultaneously, as well as handle eccentricity and user-defined priors. This plot is the default output from an RV fit with Alfred.-- [astro-ph.IM]](https://i0.wp.com/astrobiology.com/wp-content/uploads/2026/08/Alfred.png?resize=1200%2C719&ssl=1)
Posted inAI - Data - Apps - Cybernetics
Alfred: A Flexible, User-Friendly Python Package for Exoplanet Confirmation
[astro-ph.IM] In the era of TESS, exoplanet follow-up and confirmation have become a massive community effort.