The actual problem of assessing the level of digitalization of the human resource management system in modern organizations is considered. The author proposes a method for a comprehensive quantitative assessment of the degree of implementation of digital technologies in personnel processes based on a number of indicators and an index approach. This technique is illustrated by the example of the analysis of HR digitalization of a Belarusian IT company. The proposed system of indicators makes it possible to assess the current state of HR digital transformation and develop recommendations for its further development. The research uses general scientific and economic methods of analysis, interpretive structural modeling, modeling using Markov processes, as well as statistical methods of grouping and classifications. The methodology has practical value.

This article reflects a number of components that characterize the processes of digital transformation of the energy complex of the Republic of Belarus: costs for general activities, publication interest among industry specialists, the regulatory and legal basis for studying the ongoing process. A high degree of promotion of the state in terms of standardization and automation of energy in Belarus was also noted, including in comparison at the level of unification of the EAEU. A number of measures have been proposed in order to ensure the preselective functioning of the industry in the context of sanctions restrictions on the supply of equipment and software. The author proposes to conduct such an assessment, alternative to the indicators proposed in the Strategy of informatization and digital transformation of the state association of electric power industry «Belenergo» for the period of 2021–2025.

The paper studies the concept of «virtual real estate», the market of which is developing against the backdrop of the emergence of metaverses. The current trend in the development of the Internet involves the merging of gaming and social life, which forms a huge, rapidly growing economy of consumption of virtual goods. The main factor in adjusting the trend of digital development is the evolution of the interaction between the Internet and users, therefore, the article initially considered the features and distinctive features of web 1.0, web 2.0, web 3.0. The technical solutions that distinguish web 3.0 are shown, contributing to the expansion of opportunities for involving consumers in the virtual world and the formation of their own virtual economy. Further, the concept of «metaverse» is investigated, key characteristics are highlighted. It has been established that the metaverse is a hybrid of the virtual and physical worlds, creating a space for communication, life and work. The metaverse market is growing, which makes it attractive to investors, one of the ways to invest for which is to purchase virtual land and real estate. Virtual real estate cannot be touched, but it has value, increases in price, which makes it an attractive investment. The purchase of virtual real estate is carried out for real money. Virtual real estate is a piece of land in a virtual space on which it is possible to build objects and participate in the game. The article is an opportunity to understand what virtual real estate is – another global scam or an attractive investment.

The main methodological problems and strategic goals of work on creating the theory and technology of intelligent computer systems of a new generation are considered. The problems of the current state of work in the field of artificial intelligence and their causes are studied, and the need for a transition to a new generation of intelligent computer systems is substantiated. The basic principles underlying such systems, as well as the corresponding complex technology, are presented. The transition from local automation when solving particular problems to complex automation of various areas of human activity is justified. The concept of an ecosystem of interoperable intelligent computer systems is proposed, which is the basis for complex automation. The architecture of the ecosystem, the directions of its evolution, and the classes of systems included in the ecosystem are considered.

The article is devoted to the research on the issues of voter authentication in electronic voting systems and the creation of a description of a system model that is designed to organize electronic voting using a cloud signature system as a reliable authentication method. Within the framework of the study, the concept of electronic voting is formalized and a list of stages. The shortcomings of existing voter authentication systems are noted. The advantages of an electronic digital signature as the most reliable method of authentication are substantiated, the disadvantages of this approach are indicated and possible ways to eliminate them are proposed. The components of the cloud signature system are described and a diagram of the signature activation protocol, which is used in the process of generating an electronic digital signature, is provided. A description of the developed voter registration protocol in the electronic voting system is presented. The possibility of using a cloud signature system as part of the voter registration protocol in the electronic voting system is demonstrated. An analysis of the resistance of the proposed protocol to known attacks is carried out.

The article presents the specifics of acquisition and processing aerospace images of the earth's surface in the context of their digitalization for creating accurate topographic maps and plans in digital and graphic formats. A data processing model has been developed based on the Python programming language and neural networks, the purpose of which is to improve the recognition of objects in aerospace images. The methodology for creating a machine learning model includes defining the goals and objectives of the model, selecting an appropriate learning algorithm (in this case, neural networks), collecting and preparing a data set, tuning the model, and testing on a test data set. The shortcomings of existing data processing algorithms are also discussed and an approach is presented to improve the efficiency of data processing and analysis.

The relevance of the development of medical information systems for otolaryngology with artificial intelligence is substantiated, the process of developing an effective storage of medical data, taking into account their heterogeneity, is described. The task of storing medical data is complicated by the legal significance, large volume, heterogeneous and complex structure of information. A test version of an automated workstation for medical information systems for storing and processing medical research results has been developed. In the process of creating a new medical information system, the tasks of the first stage were solved: the structure and organization of the medical data warehouse were developed; procedures have been implemented for downloading, storing and viewing the results of medical research in DICOM format, identifying each patient to provide all related research results; criteria for dividing images into categories (TRG, RCT) were developed and implemented. The new system provides support for various types of search and access to the server from any computer in the corporate network of the otolaryngology department. Conditions have been prepared for the implementation of the second stage – integration of an automated workstation of medical information systems into the existing technological process in a medical institution and detection of pathology using an artificial neural network.