Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/144777
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dc.contributor.authorGoh, Wilson Wen Binen_US
dc.contributor.authorSze, Chun Chauen_US
dc.date.accessioned2020-11-24T04:03:04Z-
dc.date.available2020-11-24T04:03:04Z-
dc.date.issued2018-
dc.identifier.citationGoh, W. W. B., & Sze, C. C. (2019). AI Paradigms for Teaching Biotechnology. Trends in Biotechnology, 37(1), 1–5. doi:10.1016/j.tibtech.2018.09.009en_US
dc.identifier.issn0167-7799en_US
dc.identifier.urihttps://hdl.handle.net/10356/144777-
dc.description.abstractArtificial 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.en_US
dc.language.isoenen_US
dc.relation.ispartofTrends in biotechnologyen_US
dc.rights© 2018 Elsevier Ltd. All rights reserved. This paper was published in Trends in biotechnology and is made available with permission of Elsevier Ltd.en_US
dc.subjectScience::Biological sciencesen_US
dc.titleAI paradigms for teaching biotechnologyen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Biological Sciencesen_US
dc.identifier.doi10.1016/j.tibtech.2018.09.009-
dc.description.versionAccepted versionen_US
dc.identifier.pmid30360918-
dc.identifier.issue1en_US
dc.identifier.volume37en_US
dc.identifier.spage1en_US
dc.identifier.epage5en_US
dc.subject.keywordsEducationen_US
dc.subject.keywordsArtificial Intelligenceen_US
item.grantfulltextopen-
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