штучний інтелект

The article is dedicated to the development and application of information technologies to support the educational process of individuals with special educational needs. A conceptual model is proposed that combines modern information and communication technologies, artificial intelligence methods and mathematical models for personalizing learning and taking into account the individual characteristics of participants in the educational process.

The paper examines the explores the use of artificial intelligence (AI) methods and tools for the efficient construction, management, and optimization of cloud IT infrastructures. The main challenges related to the automation of deployment, scaling, monitoring, and resource optimization in the cloud environment are analyzed, along with the role of AI in addressing these issues. Approaches to integrating AI to improve productivity, reduce operational costs, and enhance the security of cloud platforms are discussed.

The publication provides a definition of artificial intelligence in modern media in general and in photojournalism in particular. The directions and spheres of artificial intelligence in the visual design of media content are considered, which has become an everyday manifestation of a post-industrial society characterised by technical innovations, informatisation and digitalisation of most areas and sectors of everyday human activity.

Modern approaches to determining the spatial and frequency parameters of electronic warfare (EW) sources, which are crucial for ensuring the efficiency of electronic intelligence, defense, and countermeasures systems, have been studied. A classification of existing methods, covering spatial, frequency, and combined approaches, has been conducted. The features of using antenna systems, phase methods, triangulation, and correlation analysis to determine the spatial characteristics of sources have been considered.

The paper reveals the essence of business scaling tools, which are considered as a set of interrelated technological, organizational and digital solutions. These tools are aimed at ensuring flexibility, efficiency and effectiveness in the process of expanding the activities of enterprises, especially when entering international markets. This includes, in particular, the use of digital platforms, ERP systems, cloud technologies, intelligent management systems, as well as demand forecasting and supply chain optimization models.

The modern global startup ecosystem is a dynamic and rapidly evolving environment that is crucial to economic growth and technological advancement. This article examines the key trends, challenges, and opportunities that shape the development of the global startup ecosystem. The research focuses on the impact of digital transformation, venture capital investment, and governmental policies on startup suc- cess. Additionally, the study explores regional disparities in startup growth, emphasizing the role of inno- vation hubs and accelerators in fostering entrepreneurial activity.

The article explores the development and implementation of an automated system for constructing professionograms of artificial intelligence (AI) specialists using modern information technologies. Against the backdrop of an ever-evolving digital economy and rising demand for qualified AI professionals, the study highlights the need for accurate and scalable tools to identify and assess relevant competencies.

Purpose. The primary objective of this research is to identify, classify, and analyze the emerging AI-driven factors that determine product competitiveness in the digital era. The study specifically explores how AI integration – through mechanisms such as deep personalization, real-time adaptability, and autonomous optimization – creates a new paradigm for achieving competitive advantage. It also develops strategic recommendations for firms seeking to enhance their market positions.