Authors:
Praveen Kumar Maroju

Addresses:
1Department of Quality Analyse and Architect, Clientserver Technology Solutions, San Antonio, Texas, USA. praveen.maroju@clientservertech.com1 

Abstract:

As the systematic revolution converges computing technologies with Artificial Intelligence (AI) applications, various industries have been transformed, ranging from healthcare to finance. This paper presents an extensive review of the progress achieved through this synergy, alongside the challenges and possible future perspectives. The methodology used in this study is a literature review supported by a theoretical model illustrating the integration of AI with computing. The findings reveal that computational capabilities, data processing speeds, and AI model efficiencies have drastically improved. However, significant roadblocks persist, particularly in data privacy, ethical considerations, and hardware limitations. These challenges underscore the need for addressing the field’s boundless potential for breakthroughs. Existing hurdles, such as the lack of robust regulations, call for timely intervention. As we move forward, this paper emphasizes the necessity for ongoing innovation and the development of comprehensive policies to navigate the evolving landscape. Ultimately, our conclusion highlights the critical importance of preparing for these challenges to fully realize the transformative potential of the AI and computing synergy.

Keywords: Computing Technologies; Artificial Intelligence; Synergy and Challenges; Advancements in Finance; Deep Learning; Tensor Operation; Specific Tasks Complex.

Received on: 13/08/2023, Revised on: 07/10/2023, Accepted on: 25/11/2023, Published on: 09/03/2024

DOI: 10.69888/FTSIN.2024.000153

FMDB Transactions on Sustainable Intelligent Networks, 2024 Vol. 1 No. 1, Pages: 1-14

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