Artificial intelligence cooperation to support the global response to COVID-19

被引：0
|
作者：
Miguel Luengo-Oroz
Katherine Hoffmann Pham
Joseph Bullock
Robert Kirkpatrick
Alexandra Luccioni
Sasha Rubel
Cedric Wachholz
Moez Chakchouk
Phillippa Biggs
Tim Nguyen
Tina Purnat
Bernardo Mariano
机构：
[1] United Nations Global Pulse,United Nations Educational
[2] Mila,undefined
[3] Université de Montréal,undefined
[4] Scientific and Cultural Organization,undefined
[5] International Telecommunications Union,undefined
[6] World Health Organization,undefined
来源：
Nature Machine Intelligence | 2020年 / 2卷
关键词：
D O I：
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学科分类号：
摘要：
In an unprecedented effort of scientific collaboration, researchers across fields are racing to support the response to COVID-19. Making a global impact with AI tools will require scalable approaches for data, model and code sharing; adapting applications to local contexts; and cooperation across borders.
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收藏
页码：295 / 297
页数：2
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