![Distribution of [Fe/H] versus age for the stars of our sample, distinguished by the possible subgroups. -- astro-ph.SR](https://i0.wp.com/astrobiology.com/wp-content/uploads/2025/06/Signatures-Of-Planets-And-Galactic.png?resize=1200%2C718&ssl=1)
The aim of this work is to obtain precise atmospheric parameters and chemical abundances automatically for solar twins and analogs to find signatures of exoplanets, as well as to assess […]
We present an exploratory framework to test whether noise-like input can induce structured responses in language models.
DARES Alignment · Primary Topic: Identify Emerging Themes and Technologies· Secondary Topic(s): Review Recent Advancements, Strengthen Community
Caleb Scharf, NASA Ames Research Center The search for life represents a unique data challenge within modern science. Machine learning, as it is now and may be in the future, […]
A team of researchers led by Niccolò Maffezzoli, “Marie Curie” fellow at Ca’ Foscari University of Venice and the University of California, Irvine, and an associate member of the Institute […]
We use a probability theory framework to discuss the search for biosignatures.
DolphinGemma, a large language model developed by Google, is helping scientists study how dolphins communicate — and hopefully find out what they’re saying, too.
Searching for planets analogous to Earth in terms of mass and equilibrium temperature is currently the first step in the quest for habitable conditions outside our Solar System and, ultimately, […]
With upcoming sample return missions across the solar system and the increasing availability of mass spectrometry data, there is an urgent need for methods that analyze such data within the […]
A team from the University of Bern and the National Centre of Competence in Research (NCCR) PlanetS has developed a machine learning model that predicts potential planetary systems with Earth-like […]
