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Natural language processing models that automate programming will transform chemistry research and teaching
Natural language processing models have emerged that can generate useable software and automate a number of programming tasks with high fidelity. These tools have yet to have an impact on the chemistry community. Yet, our initial testing demonstrates that this form of artificial intelligence is pois...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
RSC
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8996826/ https://www.ncbi.nlm.nih.gov/pubmed/35515080 http://dx.doi.org/10.1039/d1dd00009h |
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author | Hocky, Glen M. White, Andrew D. |
author_facet | Hocky, Glen M. White, Andrew D. |
author_sort | Hocky, Glen M. |
collection | PubMed |
description | Natural language processing models have emerged that can generate useable software and automate a number of programming tasks with high fidelity. These tools have yet to have an impact on the chemistry community. Yet, our initial testing demonstrates that this form of artificial intelligence is poised to transform chemistry and chemical engineering research. Here, we review developments that brought us to this point, examine applications in chemistry, and give our perspective on how this may fundamentally alter research and teaching. |
format | Online Article Text |
id | pubmed-8996826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | RSC |
record_format | MEDLINE/PubMed |
spelling | pubmed-89968262022-05-03 Natural language processing models that automate programming will transform chemistry research and teaching Hocky, Glen M. White, Andrew D. Digit Discov Chemistry Natural language processing models have emerged that can generate useable software and automate a number of programming tasks with high fidelity. These tools have yet to have an impact on the chemistry community. Yet, our initial testing demonstrates that this form of artificial intelligence is poised to transform chemistry and chemical engineering research. Here, we review developments that brought us to this point, examine applications in chemistry, and give our perspective on how this may fundamentally alter research and teaching. RSC 2022-02-03 /pmc/articles/PMC8996826/ /pubmed/35515080 http://dx.doi.org/10.1039/d1dd00009h Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Chemistry Hocky, Glen M. White, Andrew D. Natural language processing models that automate programming will transform chemistry research and teaching |
title | Natural language processing models that automate programming will transform chemistry research and teaching |
title_full | Natural language processing models that automate programming will transform chemistry research and teaching |
title_fullStr | Natural language processing models that automate programming will transform chemistry research and teaching |
title_full_unstemmed | Natural language processing models that automate programming will transform chemistry research and teaching |
title_short | Natural language processing models that automate programming will transform chemistry research and teaching |
title_sort | natural language processing models that automate programming will transform chemistry research and teaching |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8996826/ https://www.ncbi.nlm.nih.gov/pubmed/35515080 http://dx.doi.org/10.1039/d1dd00009h |
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