Principles And Applications of Artificial Intelligence (AI) Algorithms: A Review of The Literature

Abstract

Artificial intelligence technologies, represented by machine learning and knowledge graphs, have gained rapid popularity in the last century, and their research has been involved in a wide range of applications such as license plate recognition, face recognition, speech recognition, intelligent assistants, recommendation systems, and autonomous driving. With the increase of data, computing power, maturity of learning algorithms, and richness of application scenarios, people have started to pay attention to this "new" and widely successful research field in academia and industry, and its development history, working principles, and practical applications have attracted much attention and created a new round of AI enthusiasm. The main content of this paper includes the analysis of classical AI algorithms, the reduction of neural networks, decision trees, and biological evolutionary algorithms from the perspective of algorithm principles, and the description and overview of their practical applications and problem-solving processes in various fields and technologies, summarizes and prospects the future development of AI in the context of its development history and existing research results so that readers can better understand the future trends of AI.