ANALYSIS OF PROSPECTIVE ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Authors

  • Alevtina Aleksandrovna Muradova TUIT named after Muhammad al-Khwarizmi, PhD, associate professor of the Department of Telecommunication Engineering Author
  • Svetlana Aleksandrovna Sadchikova TUIT named after Muhammad al-Khwarizmi, PhD, associate professor of the Department of Telecommunication Engineering Author

Keywords:

promising technologies, AI approaches, evolutionary computing, expert systems, intelligent engineering, military technologies.

Abstract

The article presents an analysis of promising technologies and trends in the development of artificial intelligence. The role of neural networks in solving control and optimization problems is shown. The use of AI technologies in the military sphere is considered. An example of the Smart Sensor Web project is given, which provides for the organization of a distributed network of various sensors that work synchronously on the battlefield.

References

1. Schmidhuber, J. (2015). Deep learning in neural networks: an overview. Neural Networks, № 61, pp. 85-117.

2. Alai, M. (2004). AI, scientific discovery and realism. Minds and Machines, Vol. 14, No. 1, pp. 21 - 42.

3. Chan, C. W. & Huangb, G. H. (2003). Artificial intelligence for management and control of pollution minimization and mitigation processes. Engineering Applications of Artificial Intelligence, Vol. 16, Issue 2, pp.75-90.

4. Clocksin, W.F. (2003). Artificial intelligence and the future. Philosophical Transactions: Mathematical, Physical & Engineering Sciences, Vol. 361, № 1809, pp.1721-1748.

5. Muradova, A.A. (2025). Using kohonen neural networks and fuzzy neural networks in intelligent analysis of IoT sensor information, Multidisciplinary Scientific Journal SCHOLAR, Vol.3, Issue1, ISSN: 2181-4147, pp. 4–11.

6. Muradova, A.A., Sadchikova, S.A. (2025). Analysis of fuzzy neural control systems for telecommunication networks. “Research and education” scientific journal, ISSN 2181-3191, Vol.4, Issue1, ISSN: 2181-4147, pp. 7–14.

7. Muradova, A.A. (2023). Blockchain to improve the internet of things. International Conference on Research in Humanities, Applied Sciences and Education. Dubai, U.A.E. November 30-th.

8. Muradova, A.A. (2023). Cyber security risks of IoT devices. Republican scientific and practical conference “Role of information and communication technologies in the formation of innovative economy”. Tashkent, Uzbekistan.

9. Muradova, A.A. (2023). Network security of the internet of things (IoT) in organizations. Problems of information security and cyber security in the field of information technologies and communications, Republican scientific and practical conference”. TUIT. Tashkent, Uzbekistan.

10. Muradova, A.A. (2023). Reliability and security of the Internet of things. Multidisciplinary Scientific Journal SCHOLAR, Vol.1,27, pp. 109-117.

11. Muradova, A.A. (2023). Challenges and Future Trends of Reliable Internet of Things. Multidisciplinary Scientific Journal SCHOLAR, Vol.1,29, pp. 55–65.

12. Muradova, A.A. (2023). Basic steps to secure the Internet of Things. Multidisciplinary Scientific Journal SCHOLAR, Vol.1,31, pp. 71-76.

13. Muradova, A.A. & Begmatov, Sh.A. (2024). Methods for managing the reliability and quality of IoT sensors. Multidisciplinary Scientific Journal GOLDEN BRAIN, Volume 2, Issue 4, pp. 49-58.

Downloads

Published

2025-02-25

How to Cite

Muradova, A. A., & Sadchikova, S. A. (2025). ANALYSIS OF PROSPECTIVE ARTIFICIAL INTELLIGENCE TECHNOLOGIES. RESEARCH AND EDUCATION, 4(2), 21-29. http://researchweb.uz/index.php/researchedu/article/view/385

Similar Articles

1-10 of 14

You may also start an advanced similarity search for this article.