Life on Earth relies on mechanisms to store heritable information and translate this information into cellular machinery required for biological activity. In all known life, storage, regulation, and translation are […]
Machine learning
Posted inAI - Data - Apps - Cybernetics, Astrochemistry, Biochemistry & Organic Chemistry, Status Report
Machine-learning Identified Molecular Fragments Responsible For Infrared Emission Features Of Polycyclic Aromatic Hydrocarbons
Machine learning feature importance calculations are used to determine the molecular substructures that are responsible for mid and far-infrared (IR) emission features of neutral polycyclic aromatic hydrocarbons (PAHs).
Posted inAI - Data - Apps - Cybernetics, Astrochemistry, Status Report
A Statistical And Machine Learning Approach To The Study Of Astrochemistry
In order to obtain a good understanding of astrochemistry, it is crucial to better understand the key parameters that govern grain-surface chemistry. For many chemical networks, these crucial parameters are […]
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, Exoplanets, -moons, -comets, Press Release
Discovery of 69 New Exoplanets Using Machine Learning
In a groundbreaking achievement, a team of machine learning scientists and astronomers from Universities Space Research Association (USRA), the SETI Institute, and NASA discovered 69 new exoplanets using advanced machine […]
Posted inAstronomy & Telescopes, Atmospheres, Climate, Weather, Exoplanets, -moons, -comets, Imaging & Spectroscopy, Press Release
A Catalogue Of Exoplanet Atmospheric Retrieval Codes
Exoplanet atmospheric retrieval is a computational technique widely used to infer properties of planetary atmospheres from remote spectroscopic observations.
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, Exoplanets, -moons, -comets, Imaging & Spectroscopy, Status Report
ExoplANNET: A Deep Learning Algorithm To Detect And Identify Planetary Signals In Radial Velocity Data
The detection of exoplanets with the radial velocity method consists in detecting variations of the stellar velocity caused by an unseen sub-stellar companion.
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, SETI & Technosignatures, Status Report
A Deep-learning Search For Technosignatures Of 820 Nearby Stars
The goal of the Search for Extraterrestrial Intelligence (SETI) is to quantify the prevalence of technological life beyond Earth via their “technosignatures”. One theorized technosignature is narrowband Doppler drifting radio […]
Posted inAI - Data - Apps - Cybernetics, Away Teams & Field Reports, Imaging & Spectroscopy, Press Release, Water/Hycean Worlds & Oceanography
Exploring Ocean Worlds: FathomNet: New Open-source Image Database Unlocks The Power Of AI For Ocean Exploration
A new collaborative effort between MBARI and other research institutions is leveraging the power of artificial intelligence and machine learning to accelerate efforts to study the ocean.