Vol. 15 No. 1 (2025): IJCRT, Volume 15, Issue 1, 2025
Review Article

The Evolution of Exoplanet Detection Techniques using Artificial Intelligence

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  • Gautam Saikia
Gautam Saikia
Assistant Professor, North Gauhati College, Assam 781031, India
DOI: https://doi.org/10.61359/2024050046

Published 2025-01-13

Keywords

  • Exoplanet Detection,
  • Artificial Intelligence,
  • Machine Learning,
  • Astronomical Data Analysis,
  • Computational Astrophysics

How to Cite

Saikia, G. (2025). The Evolution of Exoplanet Detection Techniques using Artificial Intelligence. IJCRT Research Journal | UGC Approved and UGC Care Journal | Scopus Indexed Journal Norms, 15(1), 50376–50379. https://doi.org/10.61359/2024050046

Copyright (c) 2025 IJCRT Research Journal | UGC Approved and UGC Care Journal | Scopus Indexed Journal Norms

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

The discovery and study of exoplanets have made tremendous strides, particularly with the aid of Artificial Intelligence (AI). The surge in data from space missions like Kepler, TESS, and the upcoming James Webb Space Telescope has necessitated the development of automated tools for efficient data processing. Machine learning (ML) and deep learning (DL) algorithms have significantly improved exoplanet detection, identifying planetary signals and refining the analysis of light curves, radial velocities, and other astronomical data. This review traces the evolution of exoplanet detection techniques, from traditional methods to AI-driven approaches, and explores the future of exoplanet exploration using AI.

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