Three days. Six major topics. One question connecting them all: what can science tell us about life in the Universe? From 4–6 December 2026, the Polish Astrobiology Society invites you […]
AI
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 […]
2nd European Interstellar Symposium
Hosted by The Venetian Institute of Sciences, Letters and Arts in association with The Interstellar Research Group and The International Academy of Astronautics. The aim is to bring together a […]
From Gaia to GaiaNIR: Science from Precision Astrometry Across the Universe and Beyond the Extinction Barrier
This conference celebrates the achievements of the MWGaiaDN Doctoral Network, which features PhD projects focused on the science that can be extracted from Gaia DR3 and Gaia DR4. Topics covered […]
The Galactic Journey of the Solar System: Astronomical, Geological, and Paleo-Climatological Perspectives
As Earth orbits the Sun, the Solar System itself revolves around the center of the Milky Way, moving through a continuously changing Galactic environment. In addition to its mean orbital […]
SpaceCHI 2026
Space exploration is at the dawn of a new era. Major reductions in launch costs and the rise of the private space industry are rapidly democratizing access to space. Once […]
![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 […]
![Modes of interstellar expansion across two dimensions. The horizontal axis (expansion agent) runs from biological (crewed colonization, settlers, generation ships) to machine (autonomous probes, robotic seed systems). The vertical axis (visibility) runs from quiet (low-mass, low duty cycle, weak technosignatures) to loud (high-power, high waste heat, galaxy-scale signatures). The four quadrants summarize alternative expansion modes considered in the literature; the quiet expansion filter proposed in this paper occupies the lower-right quadrant (highlighted). -- [astro-ph.IM]](https://i0.wp.com/astrobiology.com/wp-content/uploads/2026/07/Autonomous-AI-Cosmoindustry.png?resize=1200%2C717&ssl=1)
Posted inSETI & Technosignatures
Autonomous AI-Cosmoindustry and the Quiet Expansion Filter: A Threshold-Based Resolution of the Fermi Paradox
[astro-ph.IM] The Fermi paradox is sharpened, not weakened, by plausible extrapolations of artificial intelligence, autonomous robotics, in-situ resource utilization, orbital manufacturing, space-based computing, and uncrewed interstellar probes.