The translation of scientific texts from English into Russian presents unique challenges due to linguistic, cultural, and terminological differences between the two languages. This study explores the special features of English-Russian translation in the context of artificial intelligence applications. The research focuses on identifying key factors that influence the accuracy and quality of machine-generated translations for scientific content. These include issues such as domain-specific vocabulary, syntax complexity, and contextual understanding. By analyzing both traditional human-driven approaches and AI-based methods, this work highlights areas where machine learning algorithms can enhance or struggle with precision when translating highly technical material. The findings aim to provide insights for improving automated translation systems while addressing the nuances required for accurate rendering of scientific discourse across languages. © 2025 Elsevier B.V., All rights reserved.