  This article explores the transformative impact of artificial intelligence
(AI) on scientific research. It highlights ten ways in which AI is
revolutionizing the work of scientists, including powerful referencing tools,
improved understanding of research problems, enhanced research question
generation, optimized research design, stub data generation, data
transformation, advanced data analysis, and AI-assisted reporting. While AI
offers numerous benefits, challenges such as bias, privacy concerns, and the
need for human-AI collaboration must be considered. The article emphasizes that
AI can augment human creativity in science but not replace it.
