The Importance of Artificial Intelligence (AI) Tools in the Modern Science, Engineering and Technological Research and Innovations: A Review

Suresh Aluvihara; Ferial Pestano-Gupta; Ali Othman Albaji; Noor Jameel Kashkool Alqasi; Ibrahim Al-Ani; Masoud Karimkhani; Mohammad Reza Radfar; Hossein Abyar; Zayed Alarabi Khalifa; Mohammad Salem Hamdi

doi:doi:10.11648/j.ajai.20250902.23

Review Article |

| Peer-Reviewed

The Importance of Artificial Intelligence (AI) Tools in the Modern Science, Engineering and Technological Research and Innovations: A Review

Suresh Aluvihara^*

, Ferial Pestano-Gupta

, Ali Othman Albaji

, Noor Jameel Kashkool Alqasi, Ibrahim Al-Ani, Masoud Karimkhani, Mohammad Reza Radfar, Hossein Abyar, Zayed Alarabi Khalifa

, Mohammad Salem Hamdi

Published in American Journal of Artificial Intelligence (Volume 9, Issue 2)

Received: 3 August 2025 Accepted: 28 September 2025 Published: 27 October 2025

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Abstract

Artificial Intelligence (AI) tools are rapidly transforming the landscape of modern science, engineering, and technological research and innovation. Their ability to process vast datasets, identify complex patterns, and generate predictive models far surpasses human capabilities, leading to accelerated discovery and unprecedented advancements across diverse fields. In scientific research, AI algorithms are instrumental in analyzing genomic data, predicting protein structures, and simulating complex environmental systems, significantly shortening the time required for breakthroughs in areas like medicine, climate science, and materials science. In engineering, AI is revolutionizing design optimization, predictive maintenance, and autonomous systems. Engineers are leveraging AI-powered design tools to create more efficient and sustainable structures, while predictive maintenance algorithms are reducing downtime and improving the reliability of critical infrastructure. The development of self-driving cars, autonomous robots, and smart manufacturing processes is heavily reliant on the sophisticated AI algorithms that enable these systems to perceive, learn, and adapt to their environments. Furthermore, AI is driving innovation in technological research by enabling the development of novel algorithms, hardware architectures, and computing paradigms. AI is being used to design more energy-efficient processors, create advanced materials with tailored properties, and develop new methods for data storage and retrieval. The ability of AI to automate repetitive tasks, generate hypotheses, and identify unexpected correlations is freeing up researchers to focus on more creative and strategic aspects of their work. By augmenting human intelligence and accelerating the pace of experimentation, AI tools are proving indispensable for pushing the boundaries of scientific knowledge, engineering prowess, and technological advancements, ultimately shaping a future driven by intelligent systems and data-driven insights.

Published in	American Journal of Artificial Intelligence (Volume 9, Issue 2)
DOI	10.11648/j.ajai.20250902.23
Page(s)	210-222
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Artificial Intelligence, Research and Innovation, Science and Technology, Engineering, Empowering

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Aluvihara, S., Pestano-Gupta, F., Albaji, A. O., Alqasi, N. J. K., Al-Ani, I., et al. (2025). The Importance of Artificial Intelligence (AI) Tools in the Modern Science, Engineering and Technological Research and Innovations: A Review. American Journal of Artificial Intelligence, 9(2), 210-222. https://doi.org/10.11648/j.ajai.20250902.23

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ACS Style

Aluvihara, S.; Pestano-Gupta, F.; Albaji, A. O.; Alqasi, N. J. K.; Al-Ani, I., et al. The Importance of Artificial Intelligence (AI) Tools in the Modern Science, Engineering and Technological Research and Innovations: A Review. Am. J. Artif. Intell. 2025, 9(2), 210-222. doi: 10.11648/j.ajai.20250902.23

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AMA Style

Aluvihara S, Pestano-Gupta F, Albaji AO, Alqasi NJK, Al-Ani I, et al. The Importance of Artificial Intelligence (AI) Tools in the Modern Science, Engineering and Technological Research and Innovations: A Review. Am J Artif Intell. 2025;9(2):210-222. doi: 10.11648/j.ajai.20250902.23

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@article{10.11648/j.ajai.20250902.23,
  author = {Suresh Aluvihara and Ferial Pestano-Gupta and Ali Othman Albaji and Noor Jameel Kashkool Alqasi and Ibrahim Al-Ani and Masoud Karimkhani and Mohammad Reza Radfar and Hossein Abyar and Zayed Alarabi Khalifa and Mohammad Salem Hamdi},
  title = {The Importance of Artificial Intelligence (AI) Tools in the Modern Science, Engineering and Technological Research and Innovations: A Review
},
  journal = {American Journal of Artificial Intelligence},
  volume = {9},
  number = {2},
  pages = {210-222},
  doi = {10.11648/j.ajai.20250902.23},
  url = {https://doi.org/10.11648/j.ajai.20250902.23},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajai.20250902.23},
  abstract = {Artificial Intelligence (AI) tools are rapidly transforming the landscape of modern science, engineering, and technological research and innovation. Their ability to process vast datasets, identify complex patterns, and generate predictive models far surpasses human capabilities, leading to accelerated discovery and unprecedented advancements across diverse fields. In scientific research, AI algorithms are instrumental in analyzing genomic data, predicting protein structures, and simulating complex environmental systems, significantly shortening the time required for breakthroughs in areas like medicine, climate science, and materials science. In engineering, AI is revolutionizing design optimization, predictive maintenance, and autonomous systems. Engineers are leveraging AI-powered design tools to create more efficient and sustainable structures, while predictive maintenance algorithms are reducing downtime and improving the reliability of critical infrastructure. The development of self-driving cars, autonomous robots, and smart manufacturing processes is heavily reliant on the sophisticated AI algorithms that enable these systems to perceive, learn, and adapt to their environments. Furthermore, AI is driving innovation in technological research by enabling the development of novel algorithms, hardware architectures, and computing paradigms. AI is being used to design more energy-efficient processors, create advanced materials with tailored properties, and develop new methods for data storage and retrieval. The ability of AI to automate repetitive tasks, generate hypotheses, and identify unexpected correlations is freeing up researchers to focus on more creative and strategic aspects of their work. By augmenting human intelligence and accelerating the pace of experimentation, AI tools are proving indispensable for pushing the boundaries of scientific knowledge, engineering prowess, and technological advancements, ultimately shaping a future driven by intelligent systems and data-driven insights.
},
 year = {2025}
}

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TY  - JOUR
T1  - The Importance of Artificial Intelligence (AI) Tools in the Modern Science, Engineering and Technological Research and Innovations: A Review

AU  - Suresh Aluvihara
AU  - Ferial Pestano-Gupta
AU  - Ali Othman Albaji
AU  - Noor Jameel Kashkool Alqasi
AU  - Ibrahim Al-Ani
AU  - Masoud Karimkhani
AU  - Mohammad Reza Radfar
AU  - Hossein Abyar
AU  - Zayed Alarabi Khalifa
AU  - Mohammad Salem Hamdi
Y1  - 2025/10/27
PY  - 2025
N1  - https://doi.org/10.11648/j.ajai.20250902.23
DO  - 10.11648/j.ajai.20250902.23
T2  - American Journal of Artificial Intelligence
JF  - American Journal of Artificial Intelligence
JO  - American Journal of Artificial Intelligence
SP  - 210
EP  - 222
PB  - Science Publishing Group
SN  - 2639-9733
UR  - https://doi.org/10.11648/j.ajai.20250902.23
AB  - Artificial Intelligence (AI) tools are rapidly transforming the landscape of modern science, engineering, and technological research and innovation. Their ability to process vast datasets, identify complex patterns, and generate predictive models far surpasses human capabilities, leading to accelerated discovery and unprecedented advancements across diverse fields. In scientific research, AI algorithms are instrumental in analyzing genomic data, predicting protein structures, and simulating complex environmental systems, significantly shortening the time required for breakthroughs in areas like medicine, climate science, and materials science. In engineering, AI is revolutionizing design optimization, predictive maintenance, and autonomous systems. Engineers are leveraging AI-powered design tools to create more efficient and sustainable structures, while predictive maintenance algorithms are reducing downtime and improving the reliability of critical infrastructure. The development of self-driving cars, autonomous robots, and smart manufacturing processes is heavily reliant on the sophisticated AI algorithms that enable these systems to perceive, learn, and adapt to their environments. Furthermore, AI is driving innovation in technological research by enabling the development of novel algorithms, hardware architectures, and computing paradigms. AI is being used to design more energy-efficient processors, create advanced materials with tailored properties, and develop new methods for data storage and retrieval. The ability of AI to automate repetitive tasks, generate hypotheses, and identify unexpected correlations is freeing up researchers to focus on more creative and strategic aspects of their work. By augmenting human intelligence and accelerating the pace of experimentation, AI tools are proving indispensable for pushing the boundaries of scientific knowledge, engineering prowess, and technological advancements, ultimately shaping a future driven by intelligent systems and data-driven insights.

VL  - 9
IS  - 2
ER  -

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Author Information

Suresh Aluvihara

Department of Chemical and Process Engineering, University of Peradeniya, Peradeniya, Sri Lanka

Contact Email

http://orcid.org/0000-0002-3535-1201
Ferial Pestano-Gupta

Division of Natural Sciences, Berbice Campus, University of Guyana, Tain, Guyana

http://orcid.org/0009-0002-4199-9677
Ali Othman Albaji

Libyan Authority for Scientific Research, Ministry of Higher Education and Scientific Research, Tripoli, Libya

http://orcid.org/0000-0002-1282-1119
Noor Jameel Kashkool Alqasi

Division of Strategy Studies, Ministry of Water Resources, Baghdad, Iraq
Ibrahim Al-Ani

National Center for Water Resources Management, Ministry of Water Resources, Baghdad, Iraq
Masoud Karimkhani

Department of Artificial Intelligence and Advanced Technology, S. T. C Islamic Azad University, Tehran, Iran
Mohammad Reza Radfar

Department of Financial Management and Accounting, S. T. C Islamic Azad University, Tehran, Iran
Hossein Abyar

Department of Management, C. T. C Islamic Azad University, Tehran, Iran
Zayed Alarabi Khalifa

Department of Computer Engineering, University of Zawia, Zawia, Libya

http://orcid.org/0009-0007-7009-0493
Mohammad Salem Hamdi

Department of Information Technology, Jahan University, Kabul, Afghanistan

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APA Style

Aluvihara, S., Pestano-Gupta, F., Albaji, A. O., Alqasi, N. J. K., Al-Ani, I., et al. (2025). The Importance of Artificial Intelligence (AI) Tools in the Modern Science, Engineering and Technological Research and Innovations: A Review. American Journal of Artificial Intelligence, 9(2), 210-222. https://doi.org/10.11648/j.ajai.20250902.23

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ACS Style

Aluvihara, S.; Pestano-Gupta, F.; Albaji, A. O.; Alqasi, N. J. K.; Al-Ani, I., et al. The Importance of Artificial Intelligence (AI) Tools in the Modern Science, Engineering and Technological Research and Innovations: A Review. Am. J. Artif. Intell. 2025, 9(2), 210-222. doi: 10.11648/j.ajai.20250902.23

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AMA Style

Aluvihara S, Pestano-Gupta F, Albaji AO, Alqasi NJK, Al-Ani I, et al. The Importance of Artificial Intelligence (AI) Tools in the Modern Science, Engineering and Technological Research and Innovations: A Review. Am J Artif Intell. 2025;9(2):210-222. doi: 10.11648/j.ajai.20250902.23

Copy | Download

@article{10.11648/j.ajai.20250902.23,
  author = {Suresh Aluvihara and Ferial Pestano-Gupta and Ali Othman Albaji and Noor Jameel Kashkool Alqasi and Ibrahim Al-Ani and Masoud Karimkhani and Mohammad Reza Radfar and Hossein Abyar and Zayed Alarabi Khalifa and Mohammad Salem Hamdi},
  title = {The Importance of Artificial Intelligence (AI) Tools in the Modern Science, Engineering and Technological Research and Innovations: A Review
},
  journal = {American Journal of Artificial Intelligence},
  volume = {9},
  number = {2},
  pages = {210-222},
  doi = {10.11648/j.ajai.20250902.23},
  url = {https://doi.org/10.11648/j.ajai.20250902.23},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajai.20250902.23},
  abstract = {Artificial Intelligence (AI) tools are rapidly transforming the landscape of modern science, engineering, and technological research and innovation. Their ability to process vast datasets, identify complex patterns, and generate predictive models far surpasses human capabilities, leading to accelerated discovery and unprecedented advancements across diverse fields. In scientific research, AI algorithms are instrumental in analyzing genomic data, predicting protein structures, and simulating complex environmental systems, significantly shortening the time required for breakthroughs in areas like medicine, climate science, and materials science. In engineering, AI is revolutionizing design optimization, predictive maintenance, and autonomous systems. Engineers are leveraging AI-powered design tools to create more efficient and sustainable structures, while predictive maintenance algorithms are reducing downtime and improving the reliability of critical infrastructure. The development of self-driving cars, autonomous robots, and smart manufacturing processes is heavily reliant on the sophisticated AI algorithms that enable these systems to perceive, learn, and adapt to their environments. Furthermore, AI is driving innovation in technological research by enabling the development of novel algorithms, hardware architectures, and computing paradigms. AI is being used to design more energy-efficient processors, create advanced materials with tailored properties, and develop new methods for data storage and retrieval. The ability of AI to automate repetitive tasks, generate hypotheses, and identify unexpected correlations is freeing up researchers to focus on more creative and strategic aspects of their work. By augmenting human intelligence and accelerating the pace of experimentation, AI tools are proving indispensable for pushing the boundaries of scientific knowledge, engineering prowess, and technological advancements, ultimately shaping a future driven by intelligent systems and data-driven insights.
},
 year = {2025}
}

Copy | Download

TY  - JOUR
T1  - The Importance of Artificial Intelligence (AI) Tools in the Modern Science, Engineering and Technological Research and Innovations: A Review

AU  - Suresh Aluvihara
AU  - Ferial Pestano-Gupta
AU  - Ali Othman Albaji
AU  - Noor Jameel Kashkool Alqasi
AU  - Ibrahim Al-Ani
AU  - Masoud Karimkhani
AU  - Mohammad Reza Radfar
AU  - Hossein Abyar
AU  - Zayed Alarabi Khalifa
AU  - Mohammad Salem Hamdi
Y1  - 2025/10/27
PY  - 2025
N1  - https://doi.org/10.11648/j.ajai.20250902.23
DO  - 10.11648/j.ajai.20250902.23
T2  - American Journal of Artificial Intelligence
JF  - American Journal of Artificial Intelligence
JO  - American Journal of Artificial Intelligence
SP  - 210
EP  - 222
PB  - Science Publishing Group
SN  - 2639-9733
UR  - https://doi.org/10.11648/j.ajai.20250902.23
AB  - Artificial Intelligence (AI) tools are rapidly transforming the landscape of modern science, engineering, and technological research and innovation. Their ability to process vast datasets, identify complex patterns, and generate predictive models far surpasses human capabilities, leading to accelerated discovery and unprecedented advancements across diverse fields. In scientific research, AI algorithms are instrumental in analyzing genomic data, predicting protein structures, and simulating complex environmental systems, significantly shortening the time required for breakthroughs in areas like medicine, climate science, and materials science. In engineering, AI is revolutionizing design optimization, predictive maintenance, and autonomous systems. Engineers are leveraging AI-powered design tools to create more efficient and sustainable structures, while predictive maintenance algorithms are reducing downtime and improving the reliability of critical infrastructure. The development of self-driving cars, autonomous robots, and smart manufacturing processes is heavily reliant on the sophisticated AI algorithms that enable these systems to perceive, learn, and adapt to their environments. Furthermore, AI is driving innovation in technological research by enabling the development of novel algorithms, hardware architectures, and computing paradigms. AI is being used to design more energy-efficient processors, create advanced materials with tailored properties, and develop new methods for data storage and retrieval. The ability of AI to automate repetitive tasks, generate hypotheses, and identify unexpected correlations is freeing up researchers to focus on more creative and strategic aspects of their work. By augmenting human intelligence and accelerating the pace of experimentation, AI tools are proving indispensable for pushing the boundaries of scientific knowledge, engineering prowess, and technological advancements, ultimately shaping a future driven by intelligent systems and data-driven insights.

VL  - 9
IS  - 2
ER  -

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