artificial intelligence

Assessing the Quality of Scientific Publications: A Thorough Analysis of Citation-Based and Content-Oriented Metrics for Evaluating Research Impact and Scholarly Contribution

The evaluation of scientific publications is a cornerstone of scholarly research, providing essential insights into the impact, significance, and intellectual contributions of research outputs.  Traditional bibliometric indicators, including Impact Factor (IF), h-index, and citation counts, have historically been the dominant measures to assess research quality.  However, with the rapid evolution of Artificial Intelligence (AI) and its increasing integration into various scientific disciplines, these conventional evaluation methodologies are being reevaluated due to the

FROM CHARISMATIC TO ALGORITHMIC LEADERSHIP: THE EVOLUTION OF MANAGERIAL PARADIGMS IN THE AGE OF ARTIFICIAL INTELLIGENCE

Purpose. The purpose of the study is to scientifically substantiate the transformation of leadership models under the influence of artificial intelligence and to outline the prospects for transitioning from charismatic to algorithmic management within the digital economy. The research seeks to demonstrate how algorithmization affects leadership styles, reshapes managerial decision-making, and redefines the role of leaders in different organizational contexts.

Scientific and Methodological Foundations for Designing and Improving Interactive Electronic Scientific Publications to Optimize Communication Processes and Knowledge Acquisition

This article is devoted to a comprehensive study of scientific and methodological foundations for designing and improving interactive electronic scientific publications as an innovative tool for optimizing scientific communication processes and knowledge acquisition. The evolutionary path of scientific publishing from traditional printed formats to modern multimedia interactive platforms is analyzed, revealing key trends in the digital transformation of the academic environment.

Comparative Analysis of Solidity Smart Contract Generation Using Large Language Models Based on Formal Algebraic Specifications

This article presents a comparative analysis of automatic Solidity smart contract generation using large language models (LLMs) based on two approaches: natural language textual descriptions and formal algebraic specifications. The study analyzes smart contracts generated by LLMs (ChatGPT-4, Claude 3.7 Sonnet, DeepSeek-V3) as well as by the AI-based tool GitHub Copilot, evaluating their syntactic correctness, compliance with initial requirements, and security.

Review of: Bartneck, C., Lütge, C., Wagner, A., Welsh, S. (2021). An Introduction to Ethics in Robotics and AI. Cham: Springer Nature Switzerland AG. ISBN 978-3-030-51109-8, 124 p.

The book "An Introduction to Ethics in Robotics and AI" is a work in the study of ethical issues in the field of artificial intelligence. It is an introduction to the key moral and ethical issues that arise in connection with the development of technology. The book covers not only the basic concepts of ethics and artificial intelligence but also applies them to various thought experiments. The authors provide an excellent basis for further study of the topic, leaving a variety of secondary sources.

Application of Artificial Intelligence Methods for Spatial Analysis of Agricultural Land Use in the Qgis Geoinformation System

The integration of artificial intelligence algorithms in agriculture has been studied to support efficient and sustainable agricultural production through the use of machine learning technologies, automated data collection, and analysis of large volumes of geospatial data to improve land resource management using geographic information systems. The article analyzes the prospects of applying artificial intelligence (AI) methods in the QGIS geographic information system for spatial analysis of agricultural land use.

DEEPER WASM INTEGRATION WITH AI/ML: FACILITATING HIGH- PERFORMANCE ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING MODELS IN MICRO-FRONTEND APPLICATIONS

WebAssembly (WASM) has emerged as a compelling and transformative solution for executing high- performance Artificial Intelligence (AI) and Machine Learning (ML) models directly within frontend web applications. Traditionally, AI/ML model deployment has been dominated by backend servers due to significant computational demands, coupled with the performance limitations of JavaScript and the overhead of client-server communication.

INTEGRATION OF MODERN ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE PROCESSES OF CONTINUOUS INTEGRATION AND DEPLOYMENT OF SOFTWARE

This article discusses modern approaches to organizing continuous integration (CI) and continuous delivery (CD) processes in software development using artificial intelligence (AI) technologies. The historical development of CI/CD is analyzed, along with their role in ensuring high-quality software, the main advantages and disadvantages of traditional approaches, and the prospects for integrating AI technologies to automate and optimize these processes.

Comparative analysis of the use of instructions for language models and automated metrics for assessing the quality of images generated by GAN models

This study explores the potential applications of language AI models in combination with Generative Adversarial Networks (GANs) for generating images based on textual descriptions derived from literary works.  The effectiveness of various prompt types used to create abstractions was analyzed, and a comparative evaluation of the performance of leading contemporary image generation models – MidJourney, DALL-E, and Stable Diffusion – was conducted.  The results indicate that, while language models are capable of producing meaningful abstractions that partially reflect the

Existential Rights, Freedoms and Human Existence as Legal Categories

The article is devoted to the rethinking and conceptualization of a number of concepts: “essential human rights”, ‘human freedom and liberties’, ‘human existence’ as key categories in the context of rapid civilizational transformations. By distinguishing and studying the interrelationship of these concepts, the article aims at substantiating their role as the backbone elements of legal doctrine. The author analyzes the ontological foundations of existential rights, emphasizing their inalienability which stems from the very nature of human existence.