Search tools are a fundamental pillar in the journey of a scientific researcher, representing the gateway to accessing the knowledge and information necessary to enrich and develop research. These tools include various material and electronic resources used throughout studies, including mechanisms and research websites. This paper focuses on digital search tools (search engines), which are the main instruments available for online research, where the choice of tool depends on the researcher’s needs. AI-powered search engines represent one of the most important stages of the technological revolution today. These engines enhance search quality and user experience by providing faster and more accurate results. The study discusses the importance of AI technologies in improving search engines’ ability to understand user queries and deliver customized content. The study focuses on search engines relying on AI technologies such as machine learning and natural language processing, explaining their working mechanisms and practical applications. The research problem concerns improving the effectiveness and efficiency of traditional search engines using AI technologies and addressing challenges related to accuracy, speed, and personalization.
Search Engines, Artificial Intelligence, Scientific Research, Technological Revolution, Data Analysis, Traditional Search
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