![Overview of the ML-DH framework. Top: Training stage, using DFT energies, forces, and dipoles to train the NNFF and EPNN. Bottom: Prediction stage, yielding IR spectra via NNFF optimization, normal mode analysis, and EPNN dipole derivatives.-- [astro-ph.GA]](https://i0.wp.com/astrobiology.com/wp-content/uploads/2026/10/A-machine.png?resize=1200%2C719&ssl=1)
[astro-ph.GA] The interpretation of interstellar aromatic infrared bands (AIBs) relies on reference spectral libraries, but the chemical space covered by existing databases remains incomplete relative to the vast structural diversity […]
AI
![Set Transformer actor–critic architecture used by the RL policy. The input candidate set 𝑋 ∈ R 𝑁×𝐹 is first projected into a latent 𝑑-dimensional representation and processed by 𝐿 Induced Set Attention Blocks (ISABs). Learned inducing tokens provide the queries in the first attention operation of each ISAB, after which information is redistributed to the candidate tokens. The actor combines each contextualised target representation with the global mission state to produce one logit per available observation. Each logit is then converted into a probability to select a corresponding observation. The critic uses Pooling by Multihead Attention (PMA) to obtain a permutation-invariant summary of the candidate set, which is combined with the same global state to estimate 𝑉 (𝑠). -- [astro-ph.EP]](https://i0.wp.com/astrobiology.com/wp-content/uploads/2026/10/aRieL-Reinforcement.png?resize=1200%2C715&ssl=1)
Posted inAriel Mission
aRieL – Reinforcement Learning For The Ariel Space Telescope Scheduling
[astro-ph.EP] The Ariel mission will conduct a population level survey of hundreds of exoplanet atmospheres, requiring observations to be scheduled across a large and diverse catalogue of potential targets.
Posted inAI - Data - Apps - Cybernetics
Giving NASA’s SciX A Quick Astrobiology Roadtest
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 […]
![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 inTricorders & Sensors
Tricorder Tech: An Electrical Technique For Identifying Signs Of Life In Space
[The University of Osaka] The truth is out there – but identifying signs of life in space involves an intense search for biosignatures within our solar system and beyond. However, […]
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 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 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.