Exploring Artificial Intelligence in Mathematica and Its Applications in Statistics
Conference
65th ISI World Statistics Congress 2025
Format: IPS Abstract - WSC 2025
Keywords: "data_linkage, "qualitative, "response
Session: IPS 867 - Big Data and AI Transformations in Emerging Scientific and Population Studies
Monday 6 October 10:50 a.m. - 12:30 p.m. (Europe/Amsterdam)
Abstract
Abstract
Artificial Intelligence (AI) is revolutionizing the fields of mathematical and statistical sciences by enhancing analytical capabilities, improving accuracy, and enabling the handling of complex datasets. AI algorithms, particularly machine learning and deep learning are employed to identify patterns, make predictions, and automate decision-making processes. In mathematics, AI assists in solving differential equations, optimizing complex functions, and verifying proofs. In statistics, AI techniques are used for data analysis, regression models, and hypothesis testing, providing more robust and scalable solutions. The integration of AI in these fields also facilitates advancements in other domains such as finance, healthcare, and engineering by providing sophisticated tools for data-driven insights and innovations. The synergy between AI and mathematical and statistical sciences is not only advancing theoretical research but also leading to practical applications that drive technological progress and societal benefits, making it a pivotal area of study and development in the modern era.