ProjektSciML – Scientific ML Conference
Grunddaten
Akronym:
SciML
Titel:
Scientific ML Conference
Laufzeit:
01.06.2025 bis 31.12.2025
Abstract / Kurz- beschreibung:
https://www.simtech.uni-stuttgart.de/communication/events/workshops/frontiers/
https://uni-tuebingen.de/forschung/forschungsschwerpunkte/exzellenzcluster-maschinelles-lernen/veranstaltungen/veranstaltungen/#c2327916
Machine learning (ML) is rapidly permeating the numerical and natural sciences. The plethora of newly available approaches and methods is overwhelming; the research body is highly dynamic and heterogeneous. In this interactive Research Frontiers Workshop, we aim to extract and structure the often-hidden fundamental concepts that are behind the design or usage of methods in ML. It shall foster reflection and debate on how we can use ML in science, critically questioning which developments will likely live up to their expectations, and which bring the most potential for new, interdisciplinary ideas. It is essential to regard these developments from different points of view, which is why we aim to bring together different fields ranging from physics to engineering and philosophy of science/ AI.
Coorganized with colleagues from Stuttgart SimTech
https://uni-tuebingen.de/forschung/forschungsschwerpunkte/exzellenzcluster-maschinelles-lernen/veranstaltungen/veranstaltungen/#c2327916
Machine learning (ML) is rapidly permeating the numerical and natural sciences. The plethora of newly available approaches and methods is overwhelming; the research body is highly dynamic and heterogeneous. In this interactive Research Frontiers Workshop, we aim to extract and structure the often-hidden fundamental concepts that are behind the design or usage of methods in ML. It shall foster reflection and debate on how we can use ML in science, critically questioning which developments will likely live up to their expectations, and which bring the most potential for new, interdisciplinary ideas. It is essential to regard these developments from different points of view, which is why we aim to bring together different fields ranging from physics to engineering and philosophy of science/ AI.
Coorganized with colleagues from Stuttgart SimTech
Schlüsselwörter:
Konferenz
conference
maschinelles Lernen
machine learning
Beteiligte Mitarbeiter/innen
Leiter/innen
Sonderforschungsbereiche und Transregios
Universität Tübingen
Universität Tübingen
Weitere Mitarbeiter/innen
Sonderforschungsbereiche und Transregios
Universität Tübingen
Universität Tübingen
Lokale Einrichtungen
Exzellenzcluster: Maschinelles Lernen: Neue Perspektiven für die Wissenschaft (CML)
Zentren oder interfakultäre wissenschaftliche Einrichtungen
Universität Tübingen
Universität Tübingen