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Engineering Applications of Artificial Intelligence

Engineering Applications of Artificial Intelligence

Ajanthaa Lakkshmanan, R. Seranmadevi, P. Hema Sree, Amit Kumar Tyagi
Copyright: © 2024 |Pages: 14
ISBN13: 9798369352618|ISBN13 Softcover: 9798369352625|EISBN13: 9798369352632
DOI: 10.4018/979-8-3693-5261-8.ch010
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MLA

Lakkshmanan, Ajanthaa, et al. "Engineering Applications of Artificial Intelligence." Enhancing Medical Imaging with Emerging Technologies, edited by Avinash Kumar Sharma, et al., IGI Global, 2024, pp. 166-179. https://doi.org/10.4018/979-8-3693-5261-8.ch010

APA

Lakkshmanan, A., Seranmadevi, R., Sree, P. H., & Tyagi, A. K. (2024). Engineering Applications of Artificial Intelligence. In A. Sharma, N. Chanderwal, S. Tyagi, P. Upadhyay, & A. Tyagi (Eds.), Enhancing Medical Imaging with Emerging Technologies (pp. 166-179). IGI Global. https://doi.org/10.4018/979-8-3693-5261-8.ch010

Chicago

Lakkshmanan, Ajanthaa, et al. "Engineering Applications of Artificial Intelligence." In Enhancing Medical Imaging with Emerging Technologies, edited by Avinash Kumar Sharma, et al., 166-179. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-5261-8.ch010

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Abstract

Artificial intelligence (AI) has evolved rapidly over the past few decades, permeating various aspects of our lives and transforming industries. This chapter explores the emerging applications of AI across diverse fields, including healthcare, finance, transportation, education, and entertainment. In healthcare, AI is revolutionizing diagnostics, drug discovery, personalized medicine, and patient care. In finance, AI-powered algorithms are enhancing trading strategies, risk assessment, fraud detection, and customer service. The transportation sector is witnessing advancements in autonomous vehicles, traffic management, and logistics optimization through AI technologies. AI is also reshaping education with adaptive learning platforms, personalized tutoring, and educational analytics. Moreover, in the entertainment industry, AI is driving content creation, recommendation systems, and virtual experiences. Despite the remarkable progress, challenges such as ethical concerns, bias mitigation, data privacy, and regulatory frameworks need to be addressed for the responsible deployment of AI.

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