![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)
[astro-ph.IM] In the era of TESS, exoplanet follow-up and confirmation have become a massive community effort.
AI – Data – Apps – Cybernetics
Posted inExoplanets, -moons, -comets
Transit Searches for Habitable-Zone Exoplanets with Artificial Intelligence
[astro-ph.EP]. Searching for Earth-sized planets in stellar habitable zones ultimately means finding a small number of very shallow, widely separated transits in noisy light curves.
![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 […]
Posted inRobotics/Rovers/UAVs
Solid-state Propulsion for Autonomous Reconnaissance of Karst (SPARK)
[NASA/NIAC] While karst terrain and subsurface caves are sites of immense scientific value on bodies like Titan, they are difficult or impossible to safely explore using current methods.
Posted inAI - Data - Apps - Cybernetics
Autonomous Multi-Agent Reconstruction of Prebiotic Reaction Networks Reveals Organizational Features of Amino Acid Synthesis
[chemrxiv.org] Decades of origin-of-life research have uncovered hundreds of prebiotically plausible reactions across hydrothermal, surface, and biochemical environments, yet this knowledge remains fragmented across chemistry, geochemistry, and astrobiology. Here we […]
![Benchmark test between chemcat (dashed black lines) and GGchem (solid colored lines) for a network of neutral species at 1 bar and temperatures from 100–6000 K (only selected species are shown). Both codes produced results typically consistent within 0.1 dex, with noticeable differences resulting from missing thermochemical data or at the lowest temperatures T ≲ 200 K. -- [astro-ph.EP]](https://i0.wp.com/astrobiology.com/wp-content/uploads/2026/08/Pyrat-Bay.png?resize=1200%2C713&ssl=1)
Posted inExoplanets, -moons, -comets
Pyrat Bay 2.0: An Upgraded Framework for Exoplanet Atmosphere Modeling in the JWST Era
[astro-ph.EP] This article presents a major update to the open-source Pyrat Bay modeling framework (version 2.0), tailored for the characterization of exoplanet atmospheres with the observational capabilities of current facilities, […]
Posted inBiosignatures & Paleobiology
Orbital Biosphere Assays: Lowering Barriers To Big Data
Editor’s note: When we begin to conduct Away Team visits to other worlds that host life we will need to do an assay of how everything on these worlds works […]
![View of the Hindsight application: drive panel synchronization (A) ensures consistent arrangement of data sources. The playhead (B) is accessible across the drive panel, tying all visualizations to the same timestamp. The fault in question is highlighted across data in red via the fault overlay (C). -- [cs.HC]](https://i0.wp.com/astrobiology.com/wp-content/uploads/2026/08/Hindsight.png?resize=1200%2C723&ssl=1)
Posted inRobotics/Rovers/UAVs
Hindsight: Similarity-Based Analytics For Mars Rover Drive Retrieval
[cs.HC] While Mars rover operators plan drives across hazardous Martian terrain and diagnose unexpected faults, the necessary information is distributed across separate systems and often reconstructed through manual correlation and […]
![Ciara Sypherd, Ph.D. candidate in bioengineering (Pil Rosted Christensen) [Harvard]](https://i0.wp.com/astrobiology.com/wp-content/uploads/2026/08/Decoding-Animal.png?resize=1200%2C721&ssl=1)
Posted inSETI & Technosignatures
Decoding Animal Communication With AI
[Harvard] Fresh off degrees in astrobiology and aerospace engineering at Arizona State University, Ciara Sypherd took on a one-year research position at the University of Copenhagen to study how neural […]
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 […]