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  AI reflections in 2021

Buckner, C., Miikkulainen, R., Forrest, S., Milano, S., Zou, J., Prunk, C., Irrgang, C., Cohen, I. G., Su, H., Murphy, R. R., Taylor, R. H., Krieger, A., Kovač, M., Sadowski, J., Marda, V. (2022): AI reflections in 2021. - Nature Machine Intelligence, 4, 5-10.
https://doi.org/10.1038/s42256-021-00435-7

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 Creators:
Buckner, Cameron1, Author
Miikkulainen, Risto1, Author
Forrest, Stephanie1, Author
Milano, Silvia1, Author
Zou, James1, Author
Prunk, Carina1, Author
Irrgang, C.2, Author              
Cohen, I. Glenn1, Author
Su, Hao1, Author
Murphy, Robin R.1, Author
Taylor, Russell H.1, Author
Krieger, Axel1, Author
Kovač, Mirko1, Author
Sadowski, Jathan1, Author
Marda, Vidushi1, Author
Affiliations:
1External Organizations, ou_persistent22              
21.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146027              

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 Abstract: For a third year in a row, we followed up with authors of several recent Comments and Perspectives in Nature Machine Intelligence about what happened after their article was published: how did the topic they wrote about develop, did they gain new insights, and what are their hopes and expectations for AI in 2022?

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Language(s): eng - English
 Dates: 2022-01-252022
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s42256-021-00435-7
GFZPOF: p4 T2 Ocean and Cryosphere
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Title: Nature Machine Intelligence
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 4 Sequence Number: - Start / End Page: 5 - 10 Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/20210922
Publisher: Springer Nature