A Comprehensive Overview of Neural Networks and AI for Advanced Applications

Abstract

Computer scientists now consider Artificial Neural Networks (ANNs), a subfield of AI, to be cutting-edge computing technology.
This article provides an overview of AI research with an emphasis on current projects that make use of AI and Artificial
Neural Networks (ANNs). Additionally, it takes into account the possibility of combining neural networks with other computational
techniques, including fuzzy logic, to improve data interpretation. There has been a plethora of research and practical
use of artificial neural networks (ANNs) during the last two decades, earning them a reputation as a leading soft-computing
technology. Neural networks are most often used to solve problems in pattern recognition, data analysis, control, and grouping,
which are the most widespread applications. Fast processing rates and the capacity to learn from examples are just two of the
many impressive qualities of artificial neural networks. An overview of the field, where AI and ANNs are utilized, and a discussion
of the crucial role that AI and NN played in many domains are provided by this study, which primarily aims to investigate
the latest applications of Neural Networks and Artificial Intelligence.