Abstract: Comparisons of single-cell RNA sequencing (scRNA-seq) data across species can reveal links between cellular gene expression and the evolution of cell functions, features, and phenotypes. These comparisons evoke evolutionary […]
AI – Data – Apps – Cybernetics
Posted inAI - Data - Apps - Cybernetics, Analog Studies, Arctic / Antarctic / Alpine, Away Teams & Field Reports, Biosignatures & Paleobiology, Exploration Gear & Tech, Genomics, Proteomics, Bioinformatics, Habitable Zones, Mars, Microbiology & Virology, Missions & Hardware, Planetary Protection & Biosafety, Robotics/Rovers/UAVs, Sample Return, Space Life Science, Status Report, Tricorders & Sensors
Tricorder Tech: The Limits, Capabilities, and Potential for Life Detection with MinION Sequencing in a Paleochannel Mars Analog
No instrument capable of direct life detection has been included on a mission payload to Mars since NASA’s Viking missions in the 1970s. This prevents us from discovering whether life […]
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, Exoplanets, -moons, -comets, Imaging & Spectroscopy, Status Report
NotPlaNET: Removing False Positives from Planet Hunters TESS with Machine Learning
Differentiating between real transit events and false positive signals in photometric time series data is a bottleneck in the identification of transiting exoplanets, particularly long-period planets.
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 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 […]
![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, Away Teams & Field Reports, Citizen Science / Open Science, Education and Outreach, Fossils & Paleontology, Imaging & Spectroscopy, Nomenclature, Systematics, Natural History, Planetary Protection & Biosafety, Press Release, Sample Return, Space Life Science
openVertebrate Project: Open Access CT Scans To Thousands Of Natural History Specimens
Editor’s note: When we begin to study the variety iof life forms on other worlds we’ll need to have a way to catalog what we have discovered, make an image […]
![[L] The planet radius histogram showing the radius gap at ∼1.8 Earth radii. The blue and red lines are kernel density estimations of the smoothed underlying distribution and identify the location of the radius separating the two planet populations (∼ 1.8), and the peaks of the two planet populations at 1.5 and 2.4 Earth radii. -- astro-ph.SR [R] The XUV flux received by planets compared to their gravitational potential in order to determine the possible atmospheric escape process following the method in Salz et al. (2016). The rapid hydrodynamical escape process applies to the left of the red dashed line. Slower, Jeans escape applies to the right of the blue solid line. Markers are crosses for planets above the radius gap and circles for planets below the radius gap. -- astro-ph.SR](https://i0.wp.com/astrobiology.com/wp-content/uploads/2024/05/ExoplANETS-A.png?resize=1200%2C712&ssl=1)
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, Atmospheres, Climate, Weather, Exoplanets, -moons, -comets, Imaging & Spectroscopy, Press Release, Stellar Cartography
ExoplANETS-A: A VO Database For Host Stars And Planetary Systems: The Effect Of XUV On Planet Atmospheres
ExoplANETS-A is an EU Horizon-2020 project with the primary objective of establishing new knowledge on exoplanet atmospheres. Intimately related to this topic is the study of the host-stars radiative properties […]
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 […]