Combining artificial intelligence and digital technologies methodology for efficient graphic information processing

Abstract

Contemporary innovative approaches to graphic information processing represent a significant research direction, considering the rapid development of technologies and the expanding applications of graphic data in various fields. This article explores the technological challenges associated with the need for efficient processing of large volumes of graphic information and the further development of computational methods in the publishing and printing industry in Ukraine. The paper emphasizes the importance of improving algorithms for graphic data processing. Methods for enhancing graphic information are discussed, aiming at optimizing computational processes and ensuring processing accuracy. Attention is devoted to technical challenges related to the real-time processing of large volumes of graphic data, considering the needs of modern applications such as virtual reality and augmented reality. In particular, the article examines the application of artificial intelligence in graphic information processing and its impact on improving image automation and analysis. The author explores the prospects for the development of these technologies in the publishing and printing industry in Ukraine, drawing conclusions about their potential in the future development of graphic information processing. In the modern publishing and printing industry, the use of artificial intelligence combined with digital technologies can significantly enhance the efficiency and quality of processes involved in creating, editing, and printing graphic content. The presented methodology focuses on optimizing workflow processes and ensuring high-quality publishing products. Innovative approaches to graphic information processing in the context of the contemporary publishing and printing environment are discussed. In summary, the article aims to understand and address technological challenges in the field of graphic information processing, taking into account the prospects for its development and impact on various application domains.