Introduction

In the modern world, innovation is one of the main driving forces of economic and social development. AI research and development technologies have a special place in the science world since they help solve many problems. In particular, AI & Ml resolve one of the most critical issues for researchers: data analysis. As huge amounts of data make it difficult to find relevant information necessary for researchers, AI quickly solves such issues with a single search and extracts patterns. It helps researchers discover data similarities; it helps make decisions by revealing insights that scientists have missed. Artificial intelligence and machine learning appeared in the middle of the last century. In recent years, thanks to the emergence of new fundamental techniques, the availability of huge amounts of accumulated data, and the development of hardware capacities, interest in this technology has reached its peak. Machine-generated literature overviews are automatically generated summaries of already published SN research publications. The algorithm identifies relations between articles and chapters and clusters the summaries into a table of contents. The summaries in orient themselves on the original structure of the chapters and articles, which means you can also have small summaries of each subsection.