A Comprehensive Overview of Artificial Intelligence-Based Classification Techniques

Abstract

Artificial Intelligence (AI) is the steering force for Industry 5.0 revolution. Artificial Intelligence (AI) is the key for the challenging task that are aimed to act as solution provider for various needs in fields of analytical, interactive, functional, text based or visual based for the physical world data associated problems. This paper provides an in-depth analysis of the current state and future directions of classification techniques in the field of Artificial Intelligence (AI). The paper encompasses a comprehensive overview of the widespread adoption of AI in various domains, including supervised machine learning, deep learning, and neural networks. It also explores the versatile applications of AI-based classification techniques, such as image classification, text classification, and speech recognition. The insight on classification techniques delves into the improved accuracy and clinical use of AI-based classification systems, highlighting their significance in areas like medical imaging, natural language processing, and predictive analytics. Furthermore, the paper addresses the future directions of AI-based classification, emphasizing the need to overcome challenges related to the reliability and safety of AI tools, as well as the integration of AI in clinical use and precision medicine. This insight study concludes by outlining the potential impact of AI-based classification techniques on various industries and the implications for future research and innovation in the field of Artificial Intelligence. This abstract encapsulates the key themes and findings from the research papers, providing a insightful overview of the current state and future directions of AI-based classification techniques.