Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/144777| Title: | AI paradigms for teaching biotechnology | Authors: | Goh, Wilson Wen Bin Sze, Chun Chau |
Keywords: | Science::Biological sciences | Issue Date: | 2018 | Source: | Goh, W. W. B., & Sze, C. C. (2019). AI Paradigms for Teaching Biotechnology. Trends in Biotechnology, 37(1), 1–5. doi:10.1016/j.tibtech.2018.09.009 | Journal: | Trends in biotechnology | Abstract: | Artificial intelligence (AI) is profoundly changing biotechnological innovation. Beyond direct application, it is also a useful tool for adaptive learning and forging new conceptual connections within the vast network of knowledge for the advancement of biotechnology. Here, we discuss a new paradigm for biotechnology education that involves coevolution with AI. | URI: | https://hdl.handle.net/10356/144777 | ISSN: | 0167-7799 | DOI: | 10.1016/j.tibtech.2018.09.009 | Schools: | School of Biological Sciences | Rights: | © 2018 Elsevier Ltd. All rights reserved. This paper was published in Trends in biotechnology and is made available with permission of Elsevier Ltd. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
| Appears in Collections: | SBS Journal Articles |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| AI paradigms for teaching biotechnology.pdf | 248.25 kB | Adobe PDF |  View/Open |
SCOPUSTM
Citations
20
18
Updated on Mar 21, 2025
Page view(s)
243
Updated on Mar 21, 2025
Download(s) 5
648
Updated on Mar 21, 2025
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.