Review of Artificial Intelligence and Machine Learning Technologies: Classification, Restrictions, Opportunities and Challenges
Satbayev University · Institute of Information and Computational Technologies · +7 more institutions
Abstract
Artificial intelligence (AI) is an evolving set of technologies used for solving a wide range of applied issues. The core of AI is machine learning (ML)—a complex of algorithms and methods that address the problems of classification, clustering, and forecasting. The practical application of AI&ML holds promising prospects. Therefore, the researches in this area are intensive. However, the industrial applications of AI and its more intensive use in society are not widespread at the present time. The challenges of widespread AI applications need to be considered from both the AI (internal problems) and the societal (external problems) perspective. This consideration will identify the priority steps for more…
Citation impact
- FWCI
- 46.86
- Percentile
- 100%
- References
- 151
Authors
12- RIRavil I. Mukhamediev
Satbayev University, Institute of Information and Computational Technologies
- YPYelena Popova
Baltic International Academy
- YKYan Kuchin
Satbayev University, Institute of Information and Computational Technologies
- EZElena Zaitseva
University of Žilina
- AMAlmas M. KalimoldayevCorresponding
National Research University Higher School of Economics, Al-Farabi Kazakh National University
Topics & keywords
- Artificial intelligence
- Scope (computer science)
- Computer science
- Identification (biology)
- Cluster analysis
- Set (abstract data type)
- Machine learning
- Emerging technologies