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In the modern 21st century the development of Information Communication Technology creates an enormous development known as Artificial Intelligence and Machine Learning. These technologies reduce the work of all Human Beings. The growth of these technologies has reached its enormous growth before five to two decades. The need for machine learning is increasing day in nowadays. The father of Artificial Intelligence was John MC Carthy. In modern trends, libraries have convertedthemselves to Artificial Intelligence to promote their digital knowledge among the people. The term “Scientometric” was introduced in the year 1978. The “Sciento” means Science and “Metric” means quantitate measurement. The systematic study of scientific collection of data using statistical tools. The data collectionis taken from Scimago Journal and Country Ranking. The main objective of the study is to analyzethe further growth of the journal in Artificial Intelligence and Machine Learning in Education in IEE journals Publications. The study is made on descriptive research methodology. The study uses a quantitative approach.The growth of journal publications will be increased in a further ten years in the field of artificial intelligence. It helps us to know about the growth of artificial intelligence and machine learning in education.
In the modern 21st century the development of Information Communication Technology creates an enormous development known as Artificial Intelligence and Machine Learning. These technologies reduce the work of all Human Beings. The growth of these technologies has reached its enormous growth before five to two decades. The need for machine learning is increasing day in nowadays. The father of Artificial Intelligence was John MC Carthy. In modern trends, libraries have convertedthemselves to Artificial Intelligence to promote their digital knowledge among the people. The term “Scientometric” was introduced in the year 1978. The “Sciento” means Science and “Metric” means quantitate measurement. The systematic study of scientific collection of data using statistical tools. The data collectionis taken from Scimago Journal and Country Ranking. The main objective of the study is to analyzethe further growth of the journal in Artificial Intelligence and Machine Learning in Education in IEE journals Publications. The study is made on descriptive research methodology. The study uses a quantitative approach.The growth of journal publications will be increased in a further ten years in the field of artificial intelligence. It helps us to know about the growth of artificial intelligence and machine learning in education.
Artificial intelligence (AI) in libraries refers to the growing trend of programming computers to perform tasks that traditionally role on human intelligence. The ultimate goal is to develop computer systems or machines that can think and act like humans, potentially revolutionizing the field of librarianship. Including expert systems to provide reference services, robots that perform tasks such as reading and shelving, and virtual reality for experiential rich learning. Although some fear that the integration of AI will create a divide between librarians and users, it is more likely that it will enhance their capabilities rather than replace their roles. This will lead to better service delivery, ultimately enhancing the relevance of libraries in our ever-changing digital society. This article aims to investigate different uses of AI in libraries, including concepts such as expert systems, natural language processing, pattern recognition, and robotics. It also explores the pros and cons of AI. In recent years, there has been a resurgence of interest in AI. This article aims to gather perspectives on how AI could impact academic libraries and consider the implications for library workRespondents emphasized the impact of AI on research and resource discovery, scientific publishing, and learning. Challenges include concerns about libraries ignoring development priorities, ethical considerations, transparency in AI decisions, and data quality. Some see it as a potential threat to jobs. The study identified different potential roles for academic libraries, such as collecting and managing data, acquiring AI tools and building infrastructure, and supporting users to navigate data direction and control. This article stands out as one of the first examinations of current expectations regarding the impact of AI on academic libraries. The authors propose the concept of smart libraries to encompass the potential influence of AI on libraries.
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