Here we present several use cases for using Generative AI (Gen AI) to improve systems engineering and cognitive knowledge management related to the future of astronomy from a culmination of […]
Machine learning
Posted inAI - Data - Apps - Cybernetics, Citizen Science / Open Science, Exoplanets, -moons, -comets, Status Report
Estimating Exoplanet Mass Using Machine Learning on Incomplete Datasets
The exoplanet archive is an incredible resource of information on the properties of discovered extrasolar planets, but statistical analysis has been limited by the number of missing values. One of […]
Posted inAI - Data - Apps - Cybernetics, Astrochemistry, Comets and Asteroids, Imaging & Spectroscopy, Status Report
Identification and Localization of Cometary Activity in Solar System Objects with Machine Learning
In this chapter, we will discuss the use of Machine Learning methods for the identification and localization of cometary activity for Solar System objects in ground and in space-based wide-field […]
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, Atmospheres, Climate, Weather, Exoplanets, -moons, -comets, Imaging & Spectroscopy, Status Report
Advancing Machine Learning for Stellar Activity and Exoplanet Period Rotation
This study applied machine learning models to estimate stellar rotation periods from corrected light curve data obtained by the NASA Kepler mission. Traditional methods often struggle to estimate rotation periods […]
Posted inAI - Data - Apps - Cybernetics, Conferences and Meetings, Status Report, Video, Audio, Webcasts, Podcasts
AI-ML Virtual Seminar: A Gentle Introduction to Machine Learning for Astrobiology
Everyone is invited to the monthly virtual seminar on artificial intelligence and machine learning (AI-ML) hosted by the Exobiology Branch at NASA Ames Research Center.
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, Imaging & Spectroscopy, Status Report
Discovery Of 118 New Ultracool Dwarf Candidates Using Machine Learning Techniques
We present the discovery of 118 new ultracool dwarf candidates, discovered using a new machine learning tool, named SMDET, applied to time series images from the Wide-field Infrared Survey Explorer.
Posted inAI - Data - Apps - Cybernetics, Astrogeology, Atmospheres, Climate, Weather, Biogeochemical Cycles & Geobiology, Comets and Asteroids, Extinction events, Habitable Zones, Impact events, Status Report
Accelerating Giant Impact Simulations With Machine Learning
Constraining planet formation models based on the observed exoplanet population requires generating large samples of synthetic planetary systems, which can be computationally prohibitive.
Posted inAI - Data - Apps - Cybernetics, Astrogeology, Away Teams & Field Reports, Caves, Craters, Mountains, Subsurface, Lava Tubes, Exploration Gear & Tech, Fossils & Paleontology, Imaging & Spectroscopy, Mapping, Geodesy, Cartography, Bathymetry, Mars, Missions & Hardware, Robotics/Rovers/UAVs, Sample Return, Status Report, Tricorders & Sensors
Mapping “Brain Terrain” Regions on Mars Using Deep Learning
One of the main objectives of the Mars Exploration Program is to search for evidence of past or current life on the planet.
Posted inAI - Data - Apps - Cybernetics, Missions & Hardware, Status Report, Video, Audio, Webcasts, Podcasts
Video: Building an Onboard AI to Act as an Advance Science Team
Dr. Ryan Felton hosts Dr. Bethany Theiling from the NASA Goddard Space Flight Center. Bethany discusses her research and endeavors to make AI/ML in-situ autonomous capabilities during planetary missions a […]
Posted inAriel Mission, Astronomy & Telescopes, Atmospheres, Climate, Weather, Citizen Science / Open Science, Exoplanets, -moons, -comets, Press Release
Competition To Unlock The Atmospheres Of Distant Planets Using AI
The competition, based on the European Space Agency’s Ariel space mission and featured at the NeurIPS 2024 machine learning conference, will tackle one of astronomy’s most complex and important data […]