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, Biosignatures & Paleobiology, Exploration Gear & Tech, Fossils & Paleontology, Habitable Zones, Imaging & Spectroscopy, Mapping, Geodesy, Cartography, Bathymetry, Missions & Hardware, Press Release, Robotics/Rovers/UAVs, Sample Return

NASA Trains Machine Learning Algorithm for Mars Sample Analysis

When a robotic rover lands on another world, scientists have a limited amount of time to collect data from the troves of explorable material, because of short mission durations and […]

Posted inAI - Data - Apps - Cybernetics, Away Teams & Field Reports, Biosignatures & Paleobiology, Exploration Gear & Tech, Fossils & Paleontology, Habitable Zones, Imaging & Spectroscopy, Missions & Hardware, Nomenclature, Systematics, Natural History, Press Release, Tricorders & Sensors

Tricorder Tech: A Novel AI Algorithm For Analyzing Microfossils

Editor’s note: the two large rovers NASA has in operation on Mars utilize AI – or Machine Learning – both on Earth and in some cases inside a rover itself […]

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