A Comprehensive Review of Artificial Intelligence
This paper explores the literature, types, applications, and challenges of Artificial Intelligence, providing a comprehensive overview of its current state and future potential. It traces the development of AI from early symbolic systems to modern machine learning and deep learning technologies, hig...
Saved in:
Published in | International Journal For Multidisciplinary Research Vol. 6; no. 5 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
23.10.2024
|
Online Access | Get full text |
Cover
Loading…
Summary: | This paper explores the literature, types, applications, and challenges of Artificial Intelligence, providing a comprehensive overview of its current state and future potential. It traces the development of AI from early symbolic systems to modern machine learning and deep learning technologies, highlighting different AI types such as narrow AI, general AI, and the speculative concept of superintelligence. Through a literature review of various research papers, this paper examines the foundational theories and cutting-edge advancements in AI, including neural networks, reinforcement learning, and hybrid systems. The applications of AI across diverse industries, such as healthcare, finance, and education, demonstrate its transformative impact, while ethical concerns surrounding bias, privacy, and job displacement present significant challenges. The paper concludes by addressing the need for responsible AI development to ensure its benefits align with societal values and contribute to a sustainable future. |
---|---|
ISSN: | 2582-2160 2582-2160 |
DOI: | 10.36948/ijfmr.2024.v06i05.28932 |