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Opportunities in Open Science With AI
Bolstered by ever affordable computational power and open big datasets, artificial intelligence (AI) technologies are bringing revolutionary changes to our lives. This article examines the current trends and elaborates the future potentials of AI in its role for making science more open and accessib...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931916/ https://www.ncbi.nlm.nih.gov/pubmed/33693349 http://dx.doi.org/10.3389/fdata.2019.00026 |
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author | Wang, Kuansan |
author_facet | Wang, Kuansan |
author_sort | Wang, Kuansan |
collection | PubMed |
description | Bolstered by ever affordable computational power and open big datasets, artificial intelligence (AI) technologies are bringing revolutionary changes to our lives. This article examines the current trends and elaborates the future potentials of AI in its role for making science more open and accessible. Based on the experience derived from a research project called Microsoft Academic, the advocates have reasons to be optimistic about the future of open science as the advanced discovery, ranking, and distribution technologies enabled by AI are offering strong incentives for scientists, funders and research managers to make research articles, data and software freely available and accessible. |
format | Online Article Text |
id | pubmed-7931916 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79319162021-03-09 Opportunities in Open Science With AI Wang, Kuansan Front Big Data Big Data Bolstered by ever affordable computational power and open big datasets, artificial intelligence (AI) technologies are bringing revolutionary changes to our lives. This article examines the current trends and elaborates the future potentials of AI in its role for making science more open and accessible. Based on the experience derived from a research project called Microsoft Academic, the advocates have reasons to be optimistic about the future of open science as the advanced discovery, ranking, and distribution technologies enabled by AI are offering strong incentives for scientists, funders and research managers to make research articles, data and software freely available and accessible. Frontiers Media S.A. 2019-09-27 /pmc/articles/PMC7931916/ /pubmed/33693349 http://dx.doi.org/10.3389/fdata.2019.00026 Text en Copyright © 2019 Wang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Big Data Wang, Kuansan Opportunities in Open Science With AI |
title | Opportunities in Open Science With AI |
title_full | Opportunities in Open Science With AI |
title_fullStr | Opportunities in Open Science With AI |
title_full_unstemmed | Opportunities in Open Science With AI |
title_short | Opportunities in Open Science With AI |
title_sort | opportunities in open science with ai |
topic | Big Data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931916/ https://www.ncbi.nlm.nih.gov/pubmed/33693349 http://dx.doi.org/10.3389/fdata.2019.00026 |
work_keys_str_mv | AT wangkuansan opportunitiesinopensciencewithai |