Базовые задачи искусственного интеллекта в мультидисциплинарных исследованиях: Аннотации
Year: 2026
Type: article
Abstract: The study addresses foundational challenges in artificial intelligence (AI) arising within the context of multidisciplinary research and explores methodologies for their resolution through the application of machine learning and neural network techniques. A systematic approach is emphasized as a critical framework for accurately formulating problems, particularly in disciplines characterized by low formalization, such as geology and ecology. The research delineates core AI tasks, including retrodiction, forecasting, search optimization, and design synthesis, and discusses solutions grounded in advanced methodologies such as clustering algorithms and regression modeling. It also underscores the transformative role of AI in automating research workflows and optimizing the efficiency of scientific endeavors across interdisciplinary domains.
Institution: Dubna State University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7220510602