Machine Learning for Physics, Physics for Machine Learning

    Kolloquiumsvortrag von Prof. Dr. Bernd Brügmann, Theoretisch-Physikalisches Institut und MSCJ
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    Beginn
    Ende
    Veranstaltungsarten
    Physikalisches Kolloquium
    Ort
    ABBEANUM
    Fröbelstieg 1, Hörsaal 1
    07743 Jena
    Google Maps – LageplanExterner Link
    Organisiert von
    Physikalisch-Astronomische Fakultät
    Veranstaltungssprache
    Englisch
    Barrierefreier Zugang
    ja
    Öffentlich
    ja

    Brügmann, Bernd (1962)

    Foto: Fotostudio Gebhardt Jena

    Prof. Dr. Bernd Brügmann
    Theoretisch-Physikalisches Institut und MSCJ

    Machine Learning for Physics, Physics for Machine Learning

    The Physics Nobel Prize 2024 was awarded "for foundational discoveries and inventions that enable machine learning with artificial neural networks”. While the enormous success of machine learning methods is well known and supported by numerous applications, the connections to physics may be less obvious. This talk gives an elementary introduction to the interplay of machine learning and physics, from the point of view of theoretical physics. What is an artificial neural
    network? What are the basic algorithms? What is the connection to physics? As the press release stated, this year's laureates did indeed use physics to find patterns in information.

    Übersicht über alle Kolloquien im Wintersemester 2024/25