More information: Jeanne Davoult et al, Earth-like planet predictor: A machine learning approach, Astronomy & Astrophysics (2025). DOI: 10.1051/0004-6361/202452434 Provided by University of Bern ...

Going Deep Into Our Understanding of Our Ocean Planet Through Museum Learning A visit to the National Museum of Natural History’s Sant Ocean Hall, whether in person or online, offers connections ...

Over 4,5000 planets have been found around other stars, but scientists expect that our galaxy contains millions of planets. There are multiple methods for detecting these small, faint bodies ...

All 301 machine-validated planets were originally detected by the Kepler Science Operations Center pipeline and promoted to planet candidate status by the Kepler Science Office.

Fifty potential planets have had their existence confirmed by a new machine learning algorithm developed by University of Warwick scientists. For the first time, astronomers have used a process ...

It follows that receiving grace returns one to the ways of earth—which is nothing but a planet-sized gift exchange. We cannot “follow after” (nach-folge) God’s grace in the world without working with ...

Kelloway and his colleagues are using machine-learning algorithms and high-performance cloud computing to model weather conditions that can better predict renewable energy supply, and then balance ...