2023, Vol. 5, Issue 7, Part A

Artificial intelligence (AI) has made significant contributions to research work across various fields. Its ability to analyze large datasets, identify patterns, and make predictions has revolutionized the way researchers conduct their investigations. This paper aims to provide an overview of key definitions related to Artificial Intelligence (AI) and discuss the history and chronological growth of Artificial intelligence. Artificial intelligence (AI) has made significant contributions to research work across various fields. Its ability to analyze large datasets, identify patterns, and make predictions has revolutionized the way researchers conduct their investigations. The paper also emphasizes various AI-powered tools to support quality research and improve productivity. Through extensive literature and content analysis, the research assessed various literatures from across the world on how Artificial intelligence can assist research students. Some of the key limitations of AI that researchers should keep in mind has also been discussed in this paper.

Methodology: This study is based on a qualitative method using content analysis techniques. An extensive review of literature on “artificial intelligence” was carried out to ascertain the emerging AI tools in the Research field.

Aim of study: AI has a wide range of applications across various industries, including healthcare, finance, education, transportation, entertainment, and more. It has the potential to revolutionize many aspects of human life, but it also raises important ethical, societal, and economic considerations. As AI continues to advance, it's crucial to address these challenges and ensure that AI systems are developed and used responsibly and ethically. The paper aims:

• To focus on the various AI tools available online for research students to assist in their research work.

• To make the Research students aware about the importance of various AI tools to accelerate research progress, AI in fostering a smooth research work, reducing opportunities for error, while maximizing resource output.