Logo des Repositoriums
 

Foundations for applied artificial intelligence: enabling and supporting AI teaching and research

dc.contributor.authorKnauer, Ricardo
dc.contributor.authorWallsberger, Raphael
dc.contributor.authorGrimm, Marvin
dc.contributor.authorBookhahn, Marian
dc.contributor.authorNeumann, Frank
dc.contributor.authorMatzka, Stephan
dc.contributor.authorRodner, Erik
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:28Z
dc.date.available2023-11-29T14:50:28Z
dc.date.issued2023
dc.description.abstractThe field of artificial intelligence (AI) has experienced tremendous advances and will undoubtedly shape a range of vertical industries over the next years. Understanding and applying AI technologies are key skills for the future and of utmost importance for virtually all disciplines. At the University of Applied Sciences Berlin, we are designing an infrastructure and community called KI-Werkstatt that allows us to tackle the challenges of applied research and teaching across vertical domains. The following paper outlines our current efforts and principles.en
dc.identifier.doi10.18420/inf2023_33
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43152
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2023 - Designing Futures: Zukünfte gestalten
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-337
dc.subjectAI education
dc.subjectapplied AI research
dc.subjecthardware infrastructure
dc.titleFoundations for applied artificial intelligence: enabling and supporting AI teaching and researchen
dc.typeText/Conference Paper
gi.citation.endPage356
gi.citation.publisherPlaceBonn
gi.citation.startPage353
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleBildung - KI-Bildung - Ein Workshop zu Aus- und Weiterbildung über Künstliche Intelligenz

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
02_05_03_Knauer.pdf
Größe:
143.83 KB
Format:
Adobe Portable Document Format