Application of AI Tools in Research

AI-powered literature search: AI can help researchers to as a researcher, you want your work to be seen and have a positive impact on the world. But in today's competitive research landscape, it can be difficult to get your work noticed. That's where research visibility and impact come in. Research visibility is how well your work is known to the people who matter, such as other researchers, policymakers, and the general public. Research impact is the effect your work has on society, such as advancing knowledge, informing policy, or solving real-world problems. Artificial intelligence (AI) is transforming the process of research visibility and impact in a number of ways. Quickly and efficiently identify relevant literature, even in large and complex datasets. This can help researchers to save time and stay up-to-date on the latest research in their field. · AI-powered writing assistance: AI can help researchers to write more clear, concise, and effective manuscripts. This can help to increase the likelihood that manuscripts will be accepted for publication and that other researchers will read and understand them. · AI-powered dissemination tools: AI can help researchers to disseminate their work more effectively to a wider audience. For example, AI can be used to generate social media posts, blog posts, and other types of content that promote the researcher's work. · AI-powered impact measurement tools: AI can help researchers to track and measure the impact of their work. For example, AI can be used to track citations, downloads, and other metrics that indicate how widely the researcher's work is being used. Keywords: AI, NPL, Robotics, Consensus, Tableau, Data Driven, Chat GPT