Computer parieren nicht immer so, wie Anwender:innen es sich
gerne wünschen. Weitaus störrischer als herkömmliche PCs sind künstlich intelligente Systeme, sagt der KI-Forscher Philipp Hennig: „Man muss sie oft
babysitten, neu trainieren und vieles ausprobieren.“ Als Professor für Methoden
des Maschinellen Lernens forscht er an der Universität Tübingen daran, diesen
Umstand zu beheben und Systeme effizienter zu machen. 2018 hat ihn das Capital
Magazin zu einem der „Top 40 unter 40“ in Wissenschaft und Gesellschaft gekürt.
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