Authors: Shinde Bhumika Haridas, Professor Bhosale S.B, Professor Bangar A.P, Professor Khatri A.A
Abstract: Scientific research usually begins with a question, followed by a review of existing work, the development of possible The reasons for this, the planning of the experiments or simulations, and a careful verification of the results. Now artificial intelligence (AI) is being used can be used to help with a number of these steps. Large language models (LLMs) assist researchers in working with scientific information, AI agents can Tasks can be carried out using external tools, and evolutionary methods can continuously generate and test programs. The paper looks at four studies. that look at different parts of AI-assisted discovery: the wider influence of AI on science, autonomous agent systems, the TeLLAgent and the use of large language models in the search for evolutionary programming. Together, these studies demonstrate how AI could be of assistance with literature reviews and idea generation. They also highlight important issues, such as incorrect model outputs, and involve generation, computational testing, and program improvement. data that is biased or incomplete, the limited ability to generalize, poor reproducibility, reliance on tools, and data leakage that occurs during evaluation. The The paper examines the four studies and suggests a possible workflow for using AI responsibly in scientific research. Overall, AI can be It is a useful research assistant, but its suggestions have to be checked by way of transparent analysis and independent validation.
