How AI technology can tame the scientific literature

As artificially intelligent tools for literature and data exploration evolve, developers seek to automate how hypotheses are generated and validated. As artificially intelligent tools for literature and data exploration evolve, developers seek to automate how hypotheses are generated and validated.

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Bibliographische Detailangaben
Veröffentlicht in:	Nature (London) 2018-09, Vol.561 (7722), p.273-274
1. Verfasser:	Extance, Andy
Format:	Artikel
Sprache:	eng
Schlagworte:	639/705/117 639/705/258 639/705/794 706/648/697/129 Analysis Artificial intelligence Artificial Intelligence - economics Biological Ontologies Data mining Empirical Research Humanities and Social Sciences Methods Models, Theoretical multidisciplinary Natural language processing Reproducibility of Results Research Report Science Science (multidisciplinary) Science journals Search Engine - economics Search Engine - methods toolbox
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Beschreibung
Zusammenfassung:	As artificially intelligent tools for literature and data exploration evolve, developers seek to automate how hypotheses are generated and validated. As artificially intelligent tools for literature and data exploration evolve, developers seek to automate how hypotheses are generated and validated.
ISSN:	0028-0836 1476-4687
DOI:	10.1038/d41586-018-06617-5