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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...

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Autores principales: Hocky, Glen M., White, Andrew D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: RSC 2022
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.
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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.
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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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