Emerging Trends and Future Research in Artificial Intelligence for Next-Generation Computing

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Published: 2022-11-01
DOI: https://doi.org/10.15662/IJRPETM.2022.0506001
Keywords:
Artificial Intelligence, Next-Generation Computing, Autonomic Computing, Neuromorphic Computing, Photonic Computing, AI Hardware, Edge Computing, Quantum Computing, AI Chips, Resource Management

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Rajkamal Choudhary
Dronacharay PG College of Education, Rait, Kangra, HP, India

Abstract

Artificial Intelligence (AI) is poised to revolutionize next-generation computing by introducing intelligent systems capable of self-management, enhanced performance, and adaptability. This paper explores emerging trends in AI integration with computing paradigms such as cloud, edge, fog, and quantum computing. We discuss advancements in AI hardware, including neuromorphic and photonic computing, and the development of AI chips by companies like Alibaba to reduce dependency on foreign technology. The fusion of AI with these computing models aims to achieve autonomic computing, where systems self-manage and optimize resources without human intervention. Challenges such as data privacy, security, and the need for specialized hardware are also examined. The paper concludes with insights into future research directions for AI in next-generation computing.Space Frontiers+2The University of Brighton+2The Wall Street Journal+1The University of Brighton

Article Details

Issue

Vol. 5 No. 6 (2022): The International Journal of Research Publications in Engineering, Technology and Management

Section

Articles

How to Cite

Emerging Trends and Future Research in Artificial Intelligence for Next-Generation Computing. (2022). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 5(6), 7716-7718. https://doi.org/10.15662/IJRPETM.2022.0506001

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