The discovery of two remarkable substellar companions orbiting distant stars has been announced by an international team of astronomers using the Subaru Telescope’s sharp adaptive-optics imaging together with precision stellar […]
AI – Data – Apps – Cybernetics
Machine Learning For Exoplanet Discovery: Validating TESS Candidates and Identifying Planets in the Habitable Zone
The high-precision photometry from NASA’s Kepler and TESS missions has revolutionized exoplanet detection, enabling the discovery of over 5500 confirmed exoplanets via the transit method and around 10000 additional candidates […]
Organic Geochemical Evidence For Life In Archean Rocks Identified By Pyrolysis–GC–MS and Supervised Machine Learning
Significance Teasing out biochemical information from ancient organic-rich sediments, notably the timing of the emergence of photosynthesis relative to the inferred oxygenation of Earth’s atmosphere, remains a challenging opportunity. To […]
Tricorder Tech: Machine Learning To Scan For Signs Of Extraterrestrial Life
A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological processes and could be used to analyze samples returned by current and future planetary […]
Chemical Evidence Of Ancient Life Detected In 3.3 billion-year-old Rocks
Pairing cutting-edge chemistry with artificial intelligence, a multidisciplinary team of scientists today published fresh chemical evidence of Earth’s earliest life – concealed in 3.3-billion-year-old rocks – and molecular evidence that […]
Minimum Sample Size Calculation for Multivariable Regression of Continuous Outcomes in Chemometrics for Astrobiology and Planetary Science
Over the last few decades, prediction models have become a fundamental tool in statistics, chemometrics, and related fields.
Carbox: An End-to-end Differentiable Astrochemical Simulation Framework
Since the first observations of interstellar molecules, astrochemical simulations have been employed to model and understand its formation and destruction pathways.
AI World Model To Simulate The Earth System
Climate change is already reshaping global weather patterns and ecosystems around the world. In the long-term, its consequences could range from further substantial increases in the number of extreme weather […]
Accelerating Radiative Transfer For Planetary Atmospheres by Orders of Magnitude with a Transformer-Based Machine Learning Model
Radiative transfer calculations are essential for modeling planetary atmospheres. However, standard methods are computationally demanding and impose accuracy-speed trade-offs. High computational costs force numerical simplifications in large models (e.g., General […]
Revolutionary AI System Achieves 600× Speed Breakthrough in Detection of Signals from Space
In an exciting leap forward for astronomy, researchers at the Breakthrough Listen initiative, in partnership with NVIDIA, have achieved a groundbreaking advancement in the search for Fast Radio Bursts (FRBs), […]
