Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/5976
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Muhammad Akmal Remli | en_US |
dc.date.accessioned | 2024-01-30T07:34:19Z | - |
dc.date.available | 2024-01-30T07:34:19Z | - |
dc.date.issued | 2023 | - |
dc.identifier.issn | 3009-1950 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/5976 | - |
dc.description | Others | en_US |
dc.description.abstract | Dr. Muhammad Akmal Remli directs AIBIG at UMK, focusing on AI and Big Data. He's a senior lecturer with a background in Computer Science. His research covers AI, data science, business intelligence, and computational systems biology, resulting in Scopus and Web of Science-indexed papers. Currently, he's developing transformer model-based algorithms for stock price predictions, earning a Ministry of Higher Education FRGS grant. Dr. Akmal collaborates globally, serving as a visiting research fellow at CRIDE LTD, UK. His recent AI projects include generative AI in Bioinformatics, with grants from YPASM for polar AI research and MyTIGER for a joint Malaysia-France program on generative AI in genomics data. These projects showcase his impactful contributions to AI research at AIBIG. | en_US |
dc.language.iso | en | en_US |
dc.publisher | AIBIG, UMK | en_US |
dc.relation.ispartof | AI Spectrum Bulletin | en_US |
dc.subject | Artificial intelligence | en_US |
dc.title | The Core of Artificial Intelligence Research at AIBIG | en_US |
dc.type | National | en_US |
dc.description.page | 13 | en_US |
dc.volume | 1 | en_US |
dc.title.titleofbook | Buletin AI Spectrum | en_US |
dc.description.type | Article in Magazine/Newsletter/Bulletin/Newspaper | en_US |
item.languageiso639-1 | en | - |
item.openairetype | National | - |
item.grantfulltext | open | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | Faculty of Data Science and Computing - Other Publications |
Files in This Item:
File | Description | Size | Format | |
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Dr. Akmal_AI AIBIG_eISSN No. 3009-1950.pdf | 4.27 MB | Adobe PDF | View/Open |
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