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Auflistung nach Autor:in "Bense, Hermann"

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  • Zeitschriftenartikel
    Applying machine intelligence in practice
    (Informatik Spektrum: Vol. 43, No. 2, 2020) Humm, Bernhard; Bense, Hermann; Bock, Jürgen; Classen, Mario; Halvani, Oren; Herta, Christian; Hoppe, Thomas; Juwig, Oliver; Siegel, Melanie
    The relevance of Machine Intelligence, a.k.a. Artificial Intelligence (AI), is undisputed at the present time. This is not only due to AI successes in research but, more prominently, its use in day-to-day practice. In 2014, we started a series of annual workshops at the Leibniz Zentrum für Informatik, Schloss Dagstuhl, Germany, initially focussing on Corporate Semantic Web and later widening the scope to Applied Machine Intelligence. This article presents a number of AI applications from various application domains, including medicine, industrial manufacturing and the insurance sector. Best practices, current trends, possibilities and limitations of new AI approaches for developing AI applications are also presented. Focus is put on the areas of natural language processing, ontologies and machine learning. The article concludes with a summary and outlook.
  • Zeitschriftenartikel
    Current trends in applied machine intelligence
    (Informatik Spektrum: Vol. 42, No. 1, 2019) Humm, Bernhard G.; Bense, Hermann; Classen, Mario; Geißler, Stefan; Hoppe, Thomas; Juwig, Oliver; Paschke, Adrian; Schäfermeier, Ralph; Siegel, Melanie; Weichhardt, Frauke; Wenning, Rigo
    Das Gespräch führte Peter Pagel.
  • Zeitschriftenartikel
    Machine intelligence today: applications, methodology, and technology
    (Informatik Spektrum: Vol. 44, No. 2, 2021) Humm, Bernhard G.; Bense, Hermann; Fuchs, Michael; Gernhardt, Benjamin; Hemmje, Matthias; Hoppe, Thomas; Kaupp, Lukas; Lothary, Sebastian; Schäfer, Kai-Uwe; Thull, Bernhard; Vogel, Tobias; Wenning, Rigo
    Machine intelligence, a.k.a. artificial intelligence (AI) is one of the most prominent and relevant technologies today. It is in everyday use in the form of AI applications and has a strong impact on society. This article presents selected results of the 2020 Dagstuhl workshop on applied machine intelligence. Selected AI applications in various domains, namely culture, education, and industrial manufacturing are presented. Current trends, best practices, and recommendations regarding AI methodology and technology are explained. The focus is on ontologies (knowledge-based AI) and machine learning.