artificial intelligence (AI)

This paper investigates modern approaches to the application of artificial intelligence (AI) models in prosthetic systems from the perspective of information technologies. The aim of the study is to provide a systematic analysis and comparative evaluation of contemporary AI models used in prosthetics, with a focus on control algorithms, biosignal processing methods, and the integration of intelligent solutions into real-time prosthetic devices.

The article is devoted to a comprehensive analysis of the limits of the application of artificial intelligence technologies in judicial proceedings and the specific features of their legal and ethical regulation. The relevance of the study is determined by the active digital transformation of justice and the growing use of artificial intelligence tools aimed at increasing the efficiency of judicial activity, optimizing judicial processes, and ensuring access to justice.

The strategic importance of digital marketing for nonprofit organizations (NPOs) in 2025 is emphasized in this article. It is examined how success in a dynamic digital environment depends not only on the social mission but also on the ability to understand online audiences, leverage emerging technologies, and adapt to evolving trends and threats. Current industry reports, expert forecasts, and marketing publications have been analyzed to systematize knowledge about the future of digital marketing in the nonprofit sector.

The article presents an experimental study of the effectiveness of machine learning methods for classifying electrocardiographic signals by rhythmic and morphological features using information tech- nology based on the mathematical apparatus of cyclic random processes. The problem of automated detection of atrial arrhythmias is considered, particularly atrial fibrillation and atrial flutter, which are characterized by complex changes in both ECG wave morphology and cardiac cycle time intervals.