Catalysing scientific research with AI: unlocking new frontiers through generative AI

In today's rapidly evolving scientific landscape, the integration of Artificial Intelligence (AI) offers exceptional opportunities. This paper delves into the role of AI in advancing scientific research, with a particular focus on the transformative potential of Generative AI. By leveraging Gen...

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Main Authors: Siti Hasnah Tanalol, Asni Tahir, Salmah Fattah, Azali Saudi
Format: Proceedings
Language:en
en
Published: Pusat e-pembelajaran, UMS 2023
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Online Access:https://eprints.ums.edu.my/id/eprint/41312/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/41312/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/41312/
https://oer.ums.edu.my/handle/oer_source_files/2781
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author Siti Hasnah Tanalol
Asni Tahir
Salmah Fattah
Azali Saudi
author_facet Siti Hasnah Tanalol
Asni Tahir
Salmah Fattah
Azali Saudi
author_sort Siti Hasnah Tanalol
building UMS Library
collection Institutional Repository
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
continent Asia
country Malaysia
description In today's rapidly evolving scientific landscape, the integration of Artificial Intelligence (AI) offers exceptional opportunities. This paper delves into the role of AI in advancing scientific research, with a particular focus on the transformative potential of Generative AI. By leveraging Generative AI's capabilities, researchers can expand the boundaries of knowledge, redefine experimental approaches, improve data analysis, generate hypothesis generation, and innovatively address complex challenges. We provide a concise summary of key topics, including the applications of Generative AI in scientific literature review, knowledge synthesis, and the optimization of experimental parameters. This paper emphasises core concepts of Generative AI, real-world case studies, and the ethical considerations associated with this technological advancement. Furthermore, we present insights from a survey involving 35 participants, which shed light on their awareness, attitudes, and expectations regarding Generative AI. By responsibly embracing Generative AI and integrating it with human expertise, researchers can leverage its power to accelerate scientific advancements and unlock new horizons of discovery. This paper aims to inspire researchers to explore the untapped potential of AI, in their scientific pursuits, propelling scientific research into new frontiers.
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spelling my.ums.eprints-413122024-10-14T02:31:05Z https://eprints.ums.edu.my/id/eprint/41312/ Catalysing scientific research with AI: unlocking new frontiers through generative AI Siti Hasnah Tanalol Asni Tahir Salmah Fattah Azali Saudi QA150-272.5 Algebra QA75.5-76.95 Electronic computers. Computer science In today's rapidly evolving scientific landscape, the integration of Artificial Intelligence (AI) offers exceptional opportunities. This paper delves into the role of AI in advancing scientific research, with a particular focus on the transformative potential of Generative AI. By leveraging Generative AI's capabilities, researchers can expand the boundaries of knowledge, redefine experimental approaches, improve data analysis, generate hypothesis generation, and innovatively address complex challenges. We provide a concise summary of key topics, including the applications of Generative AI in scientific literature review, knowledge synthesis, and the optimization of experimental parameters. This paper emphasises core concepts of Generative AI, real-world case studies, and the ethical considerations associated with this technological advancement. Furthermore, we present insights from a survey involving 35 participants, which shed light on their awareness, attitudes, and expectations regarding Generative AI. By responsibly embracing Generative AI and integrating it with human expertise, researchers can leverage its power to accelerate scientific advancements and unlock new horizons of discovery. This paper aims to inspire researchers to explore the untapped potential of AI, in their scientific pursuits, propelling scientific research into new frontiers. Pusat e-pembelajaran, UMS 2023 Proceedings NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/41312/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/41312/2/FULL%20TEXT.pdf Siti Hasnah Tanalol and Asni Tahir and Salmah Fattah and Azali Saudi (2023) Catalysing scientific research with AI: unlocking new frontiers through generative AI. https://oer.ums.edu.my/handle/oer_source_files/2781
spellingShingle QA150-272.5 Algebra
QA75.5-76.95 Electronic computers. Computer science
Siti Hasnah Tanalol
Asni Tahir
Salmah Fattah
Azali Saudi
Catalysing scientific research with AI: unlocking new frontiers through generative AI
title Catalysing scientific research with AI: unlocking new frontiers through generative AI
title_full Catalysing scientific research with AI: unlocking new frontiers through generative AI
title_fullStr Catalysing scientific research with AI: unlocking new frontiers through generative AI
title_full_unstemmed Catalysing scientific research with AI: unlocking new frontiers through generative AI
title_short Catalysing scientific research with AI: unlocking new frontiers through generative AI
title_sort catalysing scientific research with ai: unlocking new frontiers through generative ai
topic QA150-272.5 Algebra
QA75.5-76.95 Electronic computers. Computer science
url https://eprints.ums.edu.my/id/eprint/41312/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/41312/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/41312/
https://oer.ums.edu.my/handle/oer_source_files/2781
url_provider http://eprints.ums.edu.my/