The best of both worlds

Hamilton, T

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Field	Value	Language
dc.contributor.author	Hamilton, T https://orcid.org/0000-0003-2630-7011
dc.date.accessioned	2022-05-20T03:01:12Z
dc.date.available	2022-05-20T03:01:12Z
dc.date.issued	2021-03-01
dc.identifier.citation	Nature Machine Intelligence, 2021, 3, (3), pp. 194-195
dc.identifier.issn	2522-5839
dc.identifier.issn	2522-5839
dc.identifier.uri	http://hdl.handle.net/10453/157549
dc.language	English
dc.publisher	SPRINGERNATURE
dc.relation.ispartof	Nature Machine Intelligence
dc.relation.isbasedon	10.1038/s42256-021-00315-0
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	The best of both worlds
dc.type	Journal Article
utslib.citation.volume	3
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-05-20T03:01:11Z
pubs.issue	3
pubs.publication-status	Published
pubs.volume	3
utslib.citation.issue	3

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