The search for the optimal values, maxima or minima, of a complex function is an essential task in several fields where mathematical modeling is required. Genetic algorithms (GAs) are a […]
AI – Data – Apps – Cybernetics
Posted inAI - Data - Apps - Cybernetics, Biochemistry & Organic Chemistry, Genomics, Proteomics, Bioinformatics, Press Release
Artificial Intelligence Tools Shed Light On Millions Of Proteins
Editor’s note: life on Earth uses a plethora of proteins. But there are many more proteins – millions – that can exist – many, many more than are used by […]
Posted inAI - Data - Apps - Cybernetics, Ariel Mission, Astronomy & Telescopes, Atmospheres, Climate, Weather, Exoplanets, -moons, -comets, Imaging & Spectroscopy, Status Report
Simulation-based Inference for Exoplanet Atmospheric Retrieval: Insights from winning the Ariel Data Challenge 2023 using Normalizing Flows
Advancements in space telescopes have opened new avenues for gathering vast amounts of data on exoplanet atmosphere spectra. However, accurately extracting chemical and physical properties from these spectra poses significant […]
Posted inAI - Data - Apps - Cybernetics, Mars, Missions & Hardware, Press Release, Robotics/Rovers/UAVs
Perseverance Rover’s Autonomous Systems Enhance Astrobiology And Astrogeology On Mars
In about a third of the time it would have taken other NASA Mars rovers, Perseverance recently navigated its way through a field of boulders more than 1,700 feet wide […]
Posted inAI - Data - Apps - Cybernetics, Astrochemistry, Astronomy & Telescopes, Biochemistry & Organic Chemistry, Biosignatures & Paleobiology, Imaging & Spectroscopy, Status Report
The UMIST Database For Astrochemistry 2022
Detailed astrochemical models are a key component to interpret the observations of interstellar and circumstellar molecules since they allow important physical properties of the gas and its evolutionary history to […]
Posted inAI - Data - Apps - Cybernetics, Europa, Mapping, Geodesy, Cartography, Bathymetry, Status Report
Feature Extraction And Classification From Planetary Science Datasets Enabled By Machine Learning
In this paper we present two examples of recent investigations that we have undertaken, applying Machine Learning (ML) neural networks (NN) to image datasets from outer planet missions to achieve […]
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, Habitable Zones, Status Report
Dynamical Aspects Of Galactic Habitability In N-body Simulations
Recent studies of Galactic evolution revealed that the dynamics of the stellar component might be one of the key factors when considering galactic habitability.
Posted inAI - Data - Apps - Cybernetics, Imaging & Spectroscopy, Status Report
Constructing Impactful Machine Learning Research For Astronomy: Best Practices For Researchers And Reviewers
Machine learning has rapidly become a tool of choice for the astronomical community. It is being applied across a wide range of wavelengths and problems, from the classification of transients […]
Posted inAI - Data - Apps - Cybernetics, Exploration Gear & Tech, Habitable Zones, Imaging & Spectroscopy, Life Support Systems, Mars, Space Life Science, Status Report, Terraforming & Geoengineering
Analyze Mass Spectrometry Data With Artificial Intelligence To Assist The Understanding Of Past Habitability Of Mars And Provide Insights For Future Missions
This paper presents an application of artificial intelligence on mass spectrometry data for detecting habitability potential of ancient Mars.
Posted inAI - Data - Apps - Cybernetics, Biosignatures & Paleobiology, Status Report
An Information Theory Approach to Identifying Signs of Life on Transiting Planets
Can information theory provide insights into whether exoplanets are habitable? Here we apply information theory to a range of simulated exoplanet transmission spectra as a diagnostic tool to search for […]