ProjectSciML – Scientific ML Conference
Basic data
Acronym:
SciML
Title:
Scientific ML Conference
Duration:
01/06/2025 to 31/12/2025
Abstract / short description:
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
Keywords:
conference
Konferenz
machine learning
maschinelles Lernen
Involved staff
Managers
Collaborative research centers and transregios
University of Tübingen
University of Tübingen
Other staff
Collaborative research centers and transregios
University of Tübingen
University of Tübingen
Local organizational units
Cluster of Excellence: Machine Learning: New Perspectives for Science (CML)
Centers or interfaculty scientific institutions
University of Tübingen
University of Tübingen