ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN MODERN TECHNOLOGY: A COMPREHENSIVE REVIEW

Authors

  • Ismail I. Akuji, Department of Science Education, Faculty of Education, Al-Hikmah University, Kwara State, Nigeria. Author
  • Issa Eletu Issa Department of Science Education, Faculty of Education, Al-Hikmah University, Kwara State, Nigeria. Author
  • Yusuf Olasunkanmi Ibrahim Department of Science Education, Faculty of Education, Al-Hikmah University, Kwara State, Nigeria. Author

Abstract

machines to learn from experience and improve performance over time, leading to the emergence of artificial 
intelligence (AI) and machine learning (ML) as key technologies driving innovation in various fields. This paper 
provides a comprehensive review of AI and ML, covering concepts, definitions, types, applications, and relationship 
between AI and ML. Moreover, this paper extends its coverage to supervised, unsupervised, and reinforcement 
learning and their applications in areas like language processing, robotics, scheduling, and anomaly detection. 
Overall, this study contributes to the body of knowledge by providing a detailed review of AI and ML, making it a 
valuable resource for researchers, practitioners, and students in the field. This study suggests that further study 
should investigate the ethical implications of AI and ML in various application areas. 

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Published

2026-04-23

Issue

Vol. 4 No. 1 (2024): IJARMS (Vol4 No1 JUNE 2024)

Section

Articles