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  • × year_i:[2020 TO 2030}
  1. Zilm, G.: "Kl ist ein glorifizierter Taschenrechner" (2023) 0.01
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    Date
    27. 1.2023 16:22:55
  2. Sokolow, A.: Es menschelt in der KI-Welt (2023) 0.01
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    Date
    27. 1.2023 16:22:55
  3. Sokolow, A.: Chaostage bei ChatGPT (2023) 0.01
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    Date
    27. 1.2023 16:22:55
  4. Brembs, B.; Förstner, K.; Kraker, P.; Lauer, G.; Müller-Birn, C.; Schönbrodt, F.; Siems, R.: Auf einmal Laborratte (2021) 0.01
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  5. Sander, M.; Cronimund, C.: Google anonym nutzen? : Wie ein Zürcher den Tech-Giganten austrickst (2021) 0.01
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  6. Geyer, C.: Über die Moderne ist noch nicht alles ausgeplaudert : Richard Sennett wird 80 (2022) 0.01
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  7. Janssen, J.-K.: ChatGPT-Klon läuft lokal auf jedem Rechner : Alpaca/LLaMA ausprobiert (2023) 0.01
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    Source
    https://www.heise.de/news/c-t-3003-ChatGPT-Klon-laeuft-lokal-auf-jedem-Rechner-Alpaca-LLaMA-ausprobiert-8004159.html?view=print
  8. Gelitz, C.: Typisch »deutsch« verschaltet : Hirnanatomie (2023) 0.01
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  9. Pöppe, C.: ¬Die Welt ist klein (2023) 0.01
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  10. Frick, C.; Kaier, C.: Publikationskosten für Zeitschriftenartikel abseits von Open-Access-Publikationsfonds : Lost in Transformation? (2020) 0.01
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  11. Dorsch, I.; Haustein, S.: Bibliometrie (2023) 0.01
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  12. Peters, I.: Folksonomies & Social Tagging (2023) 0.01
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  13. Eibl, M.; Haupt, J.; Kahl, S.; Taubert, S.; Wilhelm-Stein, T.: Audio- und Musik-Retrieval (2023) 0.01
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    Abstract
    Das Gebiet Audio-Retrieval kann grob in drei Bereiche unterteilt werden: Musik-Retrieval, Retrieval gesprochener Sprache und Retrieval akustischer Ereignisse. Alle drei Bereiche gehen i. d. R. vom Audiosignal als Quelle aus, welches über eine Signalanalyse, meist eine Spektralanalyse über eine Fouriertransformation, weiterverarbeitet und in eine für das Retrieval geeignete Beschreibung gebracht wird. Dabei gibt es auch alternative Ansätze, wie z. B. die Nutzung der hier nicht diskutierten MIDI-Codierung im Musik-Retrieval, die ohne ein akustisches Signal auskommt und bereits eine für das Retrieval geeignete Form der Kodierung als Grundlage hat.
  14. Matt, A.; Schaber, E.; Violet, B.: Vielfältige Formate und dynamische Umsetzung : Mathematik-Kommunikation zu Künstlicher Intelligenz bei IMAGINARY (2023) 0.01
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    Abstract
    IMAGINARY verfügt über eine große Spannbreite und eine Vielzahl an Ressourcen im Bereich der Mathematik- und Wissenschaftskommunikation. In diesem Artikel werden Formate zum Thema Künstliche Intelligenz (KI) für Zielgruppen mit unterschiedlichem Vor- und Fachwissen vorgestellt. Zwei grundlegende Themen, die eine wichtige Rolle im Maschinellen Lernen bilden, stehen dabei im Vordergrund: Neuronale Netze und Reinforcement Learning. IMAGINARY vermittelt diese beiden Schwerpunkte auf vielfältige Weise. Dieser Beitrag stellt einige der verwendeten Formate vor: Von interaktiven Exponaten in der Ausstellung "I AM A.I." zu "Explorables" in digitalen Programmen, über Online-Kurse auf Lernplattformen bis hin zu Workshops für Schüler*innen oder Mathematiklehrkräfte.
  15. Heisig, P.: Informationswissenschaft für Wissensmanager : Was Wissensmanager von der informationswissenschaftlichen Forschung lernen können (2021) 0.01
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    Date
    22. 1.2021 14:38:21
  16. Hauff-Hartig, S.: Automatische Transkription von Videos : Fernsehen 3.0: Automatisierte Sentimentanalyse und Zusammenstellung von Kurzvideos mit hohem Aufregungslevel KI-generierte Metadaten: Von der Technologiebeobachtung bis zum produktiven Einsatz (2021) 0.01
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    Date
    22. 5.2021 12:43:05
  17. Hauff-Hartig, S.: Wissensrepräsentation durch RDF: Drei angewandte Forschungsbeispiele : Bitte recht vielfältig: Wie Wissensgraphen, Disco und FaBiO Struktur in Mangas und die Humanities bringen (2021) 0.01
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    Date
    22. 5.2021 12:43:05
  18. Schrenk, P.: Gesamtnote 1 für Signal - Telegram-Defizite bei Sicherheit und Privatsphäre : Signal und Telegram im Test (2022) 0.01
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    Date
    22. 1.2022 14:01:14
  19. Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023) 0.01
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    Date
    29.12.2022 18:22:55
  20. Rieger, F.: Lügende Computer (2023) 0.01
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    Date
    16. 3.2023 19:22:55

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