ARTIFICIAL INTELLIGENCE IN AUTONOMOUS SYSTEMS: CURRENT TRENDS AND FUTURE DIRECTIONS

Authors

  • Muhammad Usman Arshad Department of Computer Science, University of Engineering and Technology (UET) Lahore, Pakistan. Author
  • Asma Khan Artificial Intelligence Department, Institute of Computer Science, University of Lahore, Pakistan. Author

DOI:

https://doi.org/10.71465/mrcis117

Keywords:

Autonomous Systems, Machine Learning, Deep Learning, Ethical Considerations, AI Integration

Abstract

Artificial Intelligence (AI) has made remarkable strides in the development of autonomous systems, which are increasingly playing a pivotal role across multiple industries such as transportation, healthcare, defense, and manufacturing. This article provides an in-depth analysis of the current trends in AI technologies driving autonomous systems and explores the future directions of these technologies. Key trends such as machine learning, deep learning, reinforcement learning, and natural language processing are discussed in the context of their applications in autonomous systems. The article also examines the challenges of integrating AI into autonomous systems, including ethical concerns, data privacy, and security issues. Furthermore, it offers insights into the future potential of AI in enhancing the capabilities of autonomous systems.

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Published

2025-05-05

Issue

Vol. 5 No. 5 (2025): Multidisciplinary Research in Computing Information Systems

Section

Articles

License

Copyright (c) 2025 Muhammad Usman Arshad , Asma Khan (Author)

Creative Commons License

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

All articles published in the Multidisciplinary Research in Computing Information Systems are licensed under an open-access model. Authors retain full copyright and grant the journal the right of first publication. The content can be freely accessed, distributed, and reused for non-commercial purposes, provided proper citation is given to the original work.