AI Applications Computer Vision and Natural Language Processing

Title

AI Applications Computer Vision and Natural Language Processing

Creator

Chinnaiyan B.; Balasubaramanian S.; Jeyabalu M.; Warrier G.S.

Description

Artificial intelligence (AI) applications in computer vision and natural language processing (NLP) have made major advances in recent years, challenging a number of sectors and areas. This multidisciplinary topic combines NLP, which examines the study of human language, and computer vision, which concentrates on the understanding of visual data. This study examines the wide range of applications that are included within this convergence, highlighting the revolutionary potential of AI technology. AI has made it possible to make significant advances in autonomous systems, object identification, and image recognition in the field of computer vision. These developments have stimulated innovation and increased efficiency, revolutionizing sectors including healthcare, autonomous vehicles, and security. Meanwhile, AI-driven advances in NLP have produced strong language models that can produce, comprehend, and translate text. These approaches have been utilized to improve accessibility and efficiency of communication in chatbots, sentiment analysis, and language translation services. This chapter explores the basic ideas and advancements in these two fields, emphasizing the opportunities and novel challenges that arise from integrating computer vision and NLP. Additionally covered are data privacy, ethical issues, and the possibility of prejudice in AI applications. The study also highlights the ongoing need for these fields' advancement and investigation in order to solve real-world problems and fully utilize AI's potential in the computer vision and NLP industries. 2025 The Institute of Electrical and Electronics Engineers, Inc.

Source

Model Optimization Methods for Efficient and Edge AI: Federated Learning Architectures, Frameworks and Applications, pp. 25-41.

Date

2024-01-01

Publisher

wiley

Subject

Artificial Intelligence; Image Recognition; Natural Language Processing; Technology Integration

Coverage

Chinnaiyan B., Department of Computer Science, CHRIST University, Karnataka, Bangalore, India; Balasubaramanian S., Department of Information Technology, University of Technology and Applied Sciences, Al Mussanah, Oman; Jeyabalu M., Department of Computer Science, CHRIST University, Karnataka, Bangalore, India; Warrier G.S., Department of Computer Science, CHRIST University, Karnataka, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 978-139421923-0; 978-139421921-6

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1002/9781394219230.ch2

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212719113&doi=10.1002%2f9781394219230.ch2&partnerID=40&md5=94a43226e23baab7ace490e957bf9b81