Modeling - from virtualization technologies to artificial intelligence

Authors

  • Tamaz Lachashvili Iakob Gogebashvili Telavi State University, Telavi, Georgia
  • Aleksandre Benashvili Georgian Technical University, Georgia
  • Nino Jonjoladze Iakob Gogebashvili Telavi State University, Telavi, Georgia
  • I Wayan Suryasa ITB STIKOM Bali, Denpasar, Indonesia

Keywords:

artificial intelligence, Google Gemini, Khanmigo, modeling, virtualization

Abstract

Through the experience gained, decision-making in difficult situations, forecasting risks in advance, and suggesting optimal solutions, a base of useful advice is created and perfected, which makes the work process in any field more convincing and successful. It is undeniable that as time goes by, based on the analysis of correct or incorrect answers to various requests and cases, artificial intelligence will become “smarter” than it is today and is smarter today than it would have been before, even if technological capabilities had allowed it.

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References

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Published

2026-09-30

How to Cite

Lachashvili, T., Benashvili, A., Jonjoladze, N., & Suryasa, I. W. (2026). Modeling - from virtualization technologies to artificial intelligence. International Research Journal of Engineering, IT and Scientific Research, 12(5), 144–147. Retrieved from https://sloap.org/journals/index.php/irjeis/article/view/2624

Issue

Vol. 12 No. 5 (2026): September

Section

Research Articles
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