International Research Journal of Engineering Science, Technology and Innovation

Exploring the Potential of AI in Exoplanet Detection: Leveraging Machine Learning Algorithms for Enhanced Space Exploration

Abstract

Fakhriyya Vazirova*

The identification of exoplanets has represented a significant milestone in the ongoing endeavor to unravel the enigmatic phenomena that pervade the vastness of the universe. In this inquiry, we delve into the realm of exoplanet identification, specifically exploring the utilization of machine learning techniques. Our aim is to underscore the crucial role that Artificial Intelligence (AI) may assume in propelling the advancement of space exploration. To this end, we shall scrutinize an array of methodologies and examine the resulting outcomes. Traditional exoplanet discovery approaches necessitate meticulous manual analysis, thereby proving to be exceedingly time-consuming and susceptible to the influence of human bias. Conversely, the advent of AI heralds a paradigmatic shift that offers an electrifying prospect, as it enables the implementation of automated and data-driven methodologies capable of expeditiously and accurately analyzing colossal datasets. In this abstract, we comprehensively cover the principal functions of AI and machine learning in the domain of exoplanet identification, with a particular emphasis on their transformative potential to revolutionize the field.

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