The Use of Artificial Intelligence in Computer Architecture

This article examines the diverse effects of artificial intelligence in computer architecture, analyzing its various aspects such as using machine learning technologies in designing and developing processors and memory systems, automatic optimization of software and hardware based on working patterns and input data, and also designing automatic learning systems for upgrading the performance and efficiency of computer systems. In addition, the security challenges related to the integration of AI, algorithm liabilities and also privacy concerns are examined. Considering the fast and considerable advances in AI technology especially in machine learning, computer architectures have been changed dramatically. These changes include dynamic optimization of resources, exact prediction of workload, and designing smart systems that can improve their performance consistently and automatically. However, security challenges and privacy issues using these technologies require attention and special strategies. This research uses combined research method including thorough analysis of existing literature and case studies, detecting best methods and obtained results from AI implementation in computer architecture. The results of this study indicate that AI can considerably contribute to improving performance, efficiency and flexibility of computer systems, but besides these benefits, considering security challenges and preserving user’s privacy are highly significant.

کلیدواژه ها:

Artificial Intelligence ، Computer Architecture ، Machine Learning ، Automatic Optimization ، Security Challenges ، Automatic Learning Systems