The potential of Artificial Intelligence in academic research at a Digital University
Zusammenfassung
Steady growing research material in a variety of databases, repositories and clouds make academic content more than ever hard to discover. Finding adequate material for the own research however is essential for every researcher. Based on recent developments in the field of Artificial Intelligence and the identified digital capabilities of future universities a change in the basic work of academic research is predicted. This study defines the idea of how Artificial Intelligence could simplify academic research at a Digital University. Today’s studies in the field of AI spectacle the true potential and its commanding impact on academic research.
- Vollständige Referenz
- BibTeX
Exner-Stöhr, M., Kopp, A., Kühne-Hellmessen, L., Oldach, L., Roth, D. & Zimmermann, A.,
(2017.0).
The potential of Artificial Intelligence in academic research at a Digital University.
In:
Rossmann, A. & Zimmermann, A.
(Hrsg.),
Digital Enterprise Computing (DEC 2017).
Gesellschaft für Informatik, Bonn.
(S. 61-65).
@inproceedings{mci/Exner-Stöhr2017.0,
author = {Exner-Stöhr, Melanie AND Kopp, Alexander AND Kühne-Hellmessen, Leonhard AND Oldach, Lukas AND Roth, Daniela AND Zimmermann, Alfred},
title = {The potential of Artificial Intelligence in academic research at a Digital University},
booktitle = {Digital Enterprise Computing (DEC 2017)},
year = {2017.0},
editor = {Rossmann, Alexander AND Zimmermann, Alfred} ,
pages = { 61-65 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
author = {Exner-Stöhr, Melanie AND Kopp, Alexander AND Kühne-Hellmessen, Leonhard AND Oldach, Lukas AND Roth, Daniela AND Zimmermann, Alfred},
title = {The potential of Artificial Intelligence in academic research at a Digital University},
booktitle = {Digital Enterprise Computing (DEC 2017)},
year = {2017.0},
editor = {Rossmann, Alexander AND Zimmermann, Alfred} ,
pages = { 61-65 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
| Dateien | Groesse | Format | Anzeige | |
|---|---|---|---|---|
| paper05.pdf | 127.2Kb | Öffnen |
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Mehr Information
ISBN: 978-3-88579-666-4
ISSN: 1617-5468
Datum: 2017.0
Sprache:
(en)
(en)
