Advancements in Artificial Intelligence and Data Science: Models, Applications, and Challenges

Abstract

The text that follows gives an overview of the numerous uses of artificial intelligence (AI) and data science in a variety of fields, focusing on their potential advantages and drawbacks. Healthcare, finance, education, smart cities, and the development of disease therapies have all showed promise for AI. The study examines several AI models, such as ontological, statistical, hybrid, and biological models, in addition to the restrictions placed by deep learning techniques. The study on brain architecture and function is also included in the article, along with applications of multivariate pattern analysis, bioinspired systems, and machine learning to the analysis and processing of enormous datasets. The literature study emphasizes how critical it is to address societal and ethical issues with AI.