Artificial Intelligence (AI) has the potential to revolutionize space exploration by delegating several spacecraft decisions to an onboard AI instead of relying on ground control and predefined procedures.
AI
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, Exoplanets, -moons, -comets, Status Report
ExoSpikeNet: A Light Curve Analysis Based Spiking Neural Network for Exoplanet Detection
Exoplanets are celestial bodies orbiting stars beyond our Solar System. Although historically they posed detection challenges, Kepler’s data has revolutionized our understanding.
Posted inAI - Data - Apps - Cybernetics, Away Teams & Field Reports, Exploration Gear & Tech, Mapping, Geodesy, Cartography, Bathymetry, Missions & Hardware, Robotics/Rovers/UAVs, ROVs/Submersibles/Diving, Sample Return, Status Report, Tricorders & Sensors
A Novel Methodology for Autonomous Planetary Exploration Using Multi-Robot Teams
One of the fundamental limiting factors in planetary exploration is the autonomous capabilities of planetary exploration rovers.
Posted inAI - Data - Apps - Cybernetics, Astrochemistry, Biochemistry & Organic Chemistry, Biophysics, Biosignatures & Paleobiology, Commercial & Private Sector, Genomics, Proteomics, Bioinformatics, Nanotechnology & SynBio, Press Release
AlphaFold 3 Predicts The Structure And Interactions Of All Of Life’s Molecules
Inside every plant, animal and human cell are billions of molecular machines. They’re made up of proteins, DNA and other molecules, but no single piece works on its own. Only […]
Posted inAlpha Centauri, Astronomy & Telescopes, Biosignatures & Paleobiology, Exoplanets, -moons, -comets, Habitable Zones, Imaging & Spectroscopy, Status Report, tau Ceti
Improving Earth-like Planet Detection in Radial Velocity Using Deep Learning
Many novel methods have been proposed to mitigate stellar activity for exoplanet detection as the presence of stellar activity in radial velocity (RV) measurements is the current major limitation.
Posted inAI - Data - Apps - Cybernetics, Astrochemistry, Astrogeology, Astronomy & Telescopes, Exoplanets, -moons, -comets, Imaging & Spectroscopy, Status Report
Machine Learning for Exoplanet Detection in High-Contrast Spectroscopy: Revealing Exoplanets by Leveraging Hidden Molecular Signatures in Cross-Correlated Spectra with Convolutional Neural Networks
The new generation of observatories and instruments (VLT/ERIS, JWST, ELT) motivate the development of robust methods to detect and characterise faint and close-in exoplanets. Molecular mapping and cross-correlation for spectroscopy […]
Posted inAI - Data - Apps - Cybernetics, Away Teams & Field Reports, Biosignatures & Paleobiology, Exploration Gear & Tech, Imaging & Spectroscopy, Mapping, Geodesy, Cartography, Bathymetry, Missions & Hardware, Robotics/Rovers/UAVs, ROVs/Submersibles/Diving, Sample Return, Status Report, Tricorders & Sensors
Tricorder Tech: A.I. / Machine Learning: Adaptive Sampling With PIXL On Mars Perseverance
Editor’s note: From the paper’s Introduction: “At the time of this writing, PIXL’s adaptive sampling capability has been operating on Mars for over 951 sols (martian days), with over 52 […]
Posted inAway Teams & Field Reports, Biosignatures & Paleobiology, Exploration Gear & Tech, Imaging & Spectroscopy, Mapping, Geodesy, Cartography, Bathymetry, Press Release, Robotics/Rovers/UAVs, Tricorders & Sensors
Tricorder Tech: AI Tool Creates Synthetic Images Of Cells For Enhanced Microscopy Analysis
Editor’s note: when we start to send Away Teams to other worlds to search for – and then quantify – life forms imagery will play a pivotal role. Given the […]
![Analysis of the stellar parameters derived with our methodology. The dots are colour-coded according to the estimated metallicity. The size of the dots is proportional to the estimated projected rotational velocity. The top left panel shows a Kiel diagram, with the red, black, and blue dashed lines corresponding to 5 Gyr PARSEC isochrones with [M/H] = −0.4, 0.0 and 0.1 dex, respectively. Empty squares represent the stars reported to have a behaviour akin to subdwarfs both in Mar21 and Schw19 (same for bottom left panel). Top right: black and grey dashed lines correspond to solar metallicity PARSEC isochrones for 5 and 0.1 Gyr, respectively. Black and grey dotted lines correspond to solar metallicity Baraffe et al. (2015) isochrones for 5 and 0.1 Gyr, respectively. Bottom left: triangles represent stars identified as Hα active in Schöfer et al. (2019). Empty stars depict members of the thick disc Galactic population (Cortés-Contreras et al., in prep.). Bottom right: plus symbols correspond to stars identified as members of the young disc Galactic population by Cortés-Contreras et al. (in prep.). Empty circles represent stars with a possible membership in a young stellar associaton, as explained in Section 4.1. -- astro-ph.SR](https://i0.wp.com/astrobiology.com/wp-content/uploads/2024/05/Using-Autoencoders-And-Deep.png?resize=1200%2C717&ssl=1)
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, Imaging & Spectroscopy, Status Report, Stellar Cartography
Using Autoencoders And Deep Transfer Learning To Determine The Stellar Parameters Of 286 CARMENES M Dwarfs
Deep learning (DL) techniques are a promising approach among the set of methods used in the ever-challenging determination of stellar parameters in M dwarfs.
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, Exoplanets, -moons, -comets, Habitable Zones, Imaging & Spectroscopy, Status Report
The Detection of a Possible Exoplanet Orbiting KIC 1718360 Using Machine Learning
This paper presents the detection of a periodic dimming event in the lightcurve of the G1.5IV-V type star KIC 1718360. This is based on visible-light observations conducted by both the […]