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...
| Main Authors: | , , , |
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| Format: | Proceedings |
| Language: | English English |
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Pusat e-pembelajaran, UMS
2023
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| Subjects: | |
| 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 |
| _version_ | 1817926496424034304 |
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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 |
| collection | UMS |
| 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. |
| first_indexed | 2024-12-09T00:52:11Z |
| format | Proceedings |
| id | ums.eprints-41312 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-12-09T00:52:11Z |
| publishDate | 2023 |
| publisher | Pusat e-pembelajaran, UMS |
| record_format | dspace |
| spelling | 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 |
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