A Comprehensive Overview of Artificial Intelligence: Technique, Application and Challenges
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. It involves the development of computer systems capable of performing tasks that would typically require human intelligence, such as visual perception, speech recognition, decision-making, and problem-solving. The abstract concept of AI encompasses various subfields, including machine learning, natural language processing, computer vision, robotics, and expert systems. Machine learning algorithms enable computers to analyze and interpret large amounts of data, learn from patterns, and make predictions or decisions without explicit programming. Natural language processing enables machines to understand and interact with human language, facilitating communication between humans and computers. Computer vision allows machines to process visual information and recognize objects, faces, and gestures, enabling applications such as facial recognition and autonomous vehicles. Robotics combines AI with mechanical engineering, enabling the development of intelligent machines that can perform physical tasks and interact with their environment. AI has found applications across diverse domains, including healthcare, finance, transportation, manufacturing, and entertainment. It has the potential to revolutionize industries, streamline processes, enhance decision-making, and improve efficiency and productivity. However, ethical considerations and concerns regarding privacy, bias, and the impact on jobs and society also accompany the rapid advancement of AI. As AI continues to evolve, researchers and practitioners strive to create intelligent systems that can learn, adapt, and improve over time. The ultimate goal is to develop artificial general intelligence (AGI), which would possess the cognitive abilities and understanding comparable to that of a human. While AGI remains a theoretical concept, AI has already made significant advancements and continues to shape the future of technology and society.
Article Details
Unique Paper ID: 160642

Publication Volume & Issue: Volume 10, Issue 1

Page(s): 946 - 949
Article Preview & Download

Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews