How Artificial Intelligence Will Help Humans to Study The Habitable Planet in The Universe

The search for habitable worlds beyond Earth is one of humanity’s grand quests. As telescopes produce increasing amounts of data, artificial intelligence (AI) and machine learning methods are essential for identifying, filtering, and characterizing potentially habitable exoplanets. This paper explores how artificial intelligence contributes to each step of the detection process-from raw data processing and candidate selection to analysing atmospheres and scoring habitability. We discuss existing successes, challenges, and future possibilities. The aim is to show that AI is not just helpful but necessary for speeding up the discovery of habitable planets.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-15
DOI
https://doi.org/10.5281/zenodo.17356507
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How Artificial Intelligence Will Help Humans to Study The Habitable Planet in The Universe

Zenodo (CERN European Organization for Nuclear Research)
Stellar, planetary, and galactic studies
article

How Artificial Intelligence Will Help Humans to Study The Habitable Planet in The Universe

article en

Abstract

The search for habitable worlds beyond Earth is one of humanity’s grand quests. As telescopes produce increasing amounts of data, artificial intelligence (AI) and machine learning methods are essential for identifying, filtering, and characterizing potentially habitable exoplanets. This paper explores how artificial intelligence contributes to each step of the detection process-from raw data processing and candidate selection to analysing atmospheres and scoring habitability. We discuss existing successes, challenges, and future possibilities. The aim is to show that AI is not just helpful but necessary for speeding up the discovery of habitable planets.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 48%
Stellar, planetary, and galactic studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

How Artificial Intelligence Will Help Humans to Study The Habitable Planet in The Universe · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS