[astro-ph.IM] The Square Kilometre Array Observatory (SKAO) will usher in an era of unprecedented data complexity and scientific opportunity in radio astronomy, producing petabyte-scale datasets and terabit-per-second streams that challenge […]
Deep Learning
Posted inCourses
Deep Learning for Astrophysics: An Open Textbook from the NASA Cosmic Origins AI/ML Science and Technology Interest Group
[astro-ph.IM] The astronomical community’s ability to use modern machine learning shapes the science return of upcoming facilities.
Posted inUncategorized
Machine Learning And Deep Learning For Exoplanet Detection And Atmospheric Characterization With JWST And The Upcoming Ariel Mission
[astro-ph.IM] The detection and atmospheric characterization of exoplanets have entered a new data-intensive era driven by the James Webb Space Telescope and the upcoming Ariel mission.
Posted inAI - Data - Apps - Cybernetics, Biochemistry & Organic Chemistry, Biosignatures & Paleobiology, Imaging & Spectroscopy, ROVs/Submersibles/Diving, Sample Return, Status Report, Tricorders & Sensors, Water/Hycean Worlds & Oceanography
Deep Learning For Microbial Life Detection In Deep Subseafloor Samples: Objective Cell Recognition
Microscopic detection and enumeration of microbial biomass provide essential primary information about the biosphere.
Posted inAI - Data - Apps - Cybernetics, Biochemistry & Organic Chemistry, Biophysics, Biosignatures & Paleobiology, Genomics, Proteomics, Bioinformatics, Origin & Evolution of Life, Press Release
Understanding Protein Form And Function Better At TU Graz
Proteins are among the most important building blocks of nature and play a central role in biological processes in all organisms.
Posted inAI - Data - Apps - Cybernetics, Biosignatures & Paleobiology, Exploration Gear & Tech, Fossils & Paleontology, Microbiology & Virology, Nomenclature, Systematics, Natural History, Press Release, Tricorders & Sensors
Tricorder Tech: AI Matches Human Experts In Classifying Microscopic Organisms
Editor’s note: If we aspire to mount expeditions to new worlds and then embrace the task of characterizing and quantifying whatever life forms we find, the ability to map and […]
Posted inAI - Data - Apps - Cybernetics, Atmospheres, Climate, Weather, Exoplanets, -moons, -comets, Status Report
AI-enhanced Planetary Meteorology: Deep Learning Reveals Hidden Details In Earth’s Atmosphere
Predicting local weather extremes remains one of the greatest hurdles in meteorology, which requires high-resolution, reliable humidity data. A new study unveils a breakthrough: the first high-resolution Global Navigation Satellite […]
Posted inAI - Data - Apps - Cybernetics, Imaging & Spectroscopy, Status Report
The Model Is The Message: Lightweight Convolutional Autoencoders Applied To Noisy Imaging Data For Planetary Science And Astrobiology
The application of convolutional autoencoder deep learning to imaging data for planetary science and astrobiological use is briefly reviewed and explored with a focus on the need to understand algorithmic […]
Posted inAI - Data - Apps - Cybernetics, Atmospheres, Climate, Weather, Biogeochemical Cycles & Geobiology, Gaia - Planetary Perspectives, Habitable Zones, Imaging & Spectroscopy, Status Report
Conditional Diffusion-Based Retrieval of Atmospheric CO2 From Earth Observing Spectroscopy
Satellite-based estimates of greenhouse gas (GHG) properties from observations of reflected solar spectra are integral for understanding and monitoring complex terrestrial systems and their impact on the carbon cycle due […]
Posted inBiochemistry & Organic Chemistry, Biophysics, Biosignatures & Paleobiology, Genomics, Proteomics, Bioinformatics, Microbiology & Virology, Origin & Evolution of Life, Status Report
Structural Evolution Of Nitrogenase Enzymes Over Geologic Time
Life on Earth is more than 3.5 billion years old, nearly as old as the age of the planet. Over this vast expanse of time, life and its biomolecules adapted […]