Authors : R.B. Mishra; Settles, B.; Swersky, K.; Rubanova, Y.; Dohan, D.; Murphy, K.; Agrawal, R.; Squires, C.; Yang, K.; Shanmugam, K.; Uhler, C.

Volume/Issue : Volume 9 - 2024, Issue 11 - November

Google Scholar : https://tinyurl.com/4ca92c4p

Scribd : https://tinyurl.com/45fbaa8b

DOI : https://doi.org/10.5281/zenodo.14413689

Abstract : Artificial Intelligence (AI) has evolved from a theoretical concept to a transformative force driving change across multiple industries. Its integration into daily life has impacted sectors like healthcare, finance, education, and manufacturing, demonstrating both efficiency and innovation. AI systems, such as machine learning, deep learning, and natural language processing, are not only enhancing operational efficiencies but also enabling decision-making through data-driven insights. The modern era has witnessed AI creating new opportunities, from predictive analytics to autonomous systems, driving growth and challenging ethical, societal, and regulatory frameworks. This research investigates the broad applications of AI in various industries, examining its real-world impact, potential, and challenges. It analyzes how AI technologies have reshaped processes, improved outcomes, and led to innovation in product development and service delivery. The study highlights the importance of understanding AI's role in solving global challenges while addressing its limitations, including issues of data privacy, bias, and job displacement. The findings underscore AI’s potential to shape the future of humanity, emphasizing the need for responsible development and usage in the face of rapid technological advancements.

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