Based on the principles of information theory, measure theory, and theoretical computer science, we introduce a univariate signal deconvolution method with a wide range of applications to coding theory, particularly […]
AI
Generative AI for Overall Mission Effectiveness at the Habitable Worlds Observatory
Here we present several use cases for using Generative AI (Gen AI) to improve systems engineering and cognitive knowledge management related to the future of astronomy from a culmination of […]
Estimating Exoplanet Mass Using Machine Learning on Incomplete Datasets
The exoplanet archive is an incredible resource of information on the properties of discovered extrasolar planets, but statistical analysis has been limited by the number of missing values. One of […]
The Clear Sky Corridor: Insights Towards Aerosol Formation in Exoplanets Using An AI-based Survey of Exoplanet Atmospheres
Producing optimized and accurate transmission spectra of exoplanets from telescope data has traditionally been a manual and labor-intensive procedure.
AI Discovers Over 160,000 New Virus Species On Earth
Artificial intelligence (AI) has been used to reveal details of a diverse and fundamental branch of life living right under our feet and in every corner of the globe.
Identification and Localization of Cometary Activity in Solar System Objects with Machine Learning
In this chapter, we will discuss the use of Machine Learning methods for the identification and localization of cometary activity for Solar System objects in ground and in space-based wide-field […]
The Human Genome Has Been Stored On An Everlasting Memory Crystal
University of Southampton scientists have stored the full human genome on a 5D memory crystal – a revolutionary data storage format that can survive for billions of years. The team […]
Astrophysics: A.I. Shines A New Light On Exoplanets
Researchers from LMU, the ORIGINS Excellence Cluster, the Max Planck Institute for Extraterrestrial Physics (MPE), and the ORIGINS Data Science Lab (ODSL) have made an important breakthrough in the analysis […]
AI And An Extreme Microbe Reveal How Earth Life’s Building Blocks Adapt To High Pressure
An assist from a Google Artificial Intelligence tool has helped scientists discover how the proteins of a heat-loving microbe respond to the crushing conditions of the planet’s deepest ocean trenches, […]
Advancing Machine Learning for Stellar Activity and Exoplanet Period Rotation
This study applied machine learning models to estimate stellar rotation periods from corrected light curve data obtained by the NASA Kepler mission. Traditional methods often struggle to estimate rotation periods […]
