Machine Learning in Physics - Case Studies & Discussion

14.02.2020

Machine learning is currently changing science and technology, including physics. We invite interested persons to join us on Friday, 14 February 2020, for plenary talks by leading experts in the field and flash talks by AI Start-Ups representatives which will be complemented by a World Café.

Friday, 14 February 2020
Faculty of Physics, University of Vienna
Boltzmanngasse 5, 1090 Vienna
Christian-Doppler lecture hall, 3rd floor

 

09:00 Learning Science from Data – Plenary Talks

Torsten Möller - Head of the Research Platform Data Science & Head of the Research Group Visualization and Data Analysis at the University of Vienna

Peter Wirnsberger - Research Scientist at DeepMind

Stefan Thurner - President of the Complexity Science Hub Vienna & Chair of the Section for Science of Complex Systems at the Medical University of Vienna

 

12:30 Artificial Intelligence Start-Ups – Flash Talks and World Café

Patrick Blies - AI Research Engineer at EnliteAI

Jason Hölscher-Obermaier - VP R&D at ONDEWO

Valentin Stauber – Senior Research Engineer at Iris.ai

Paul Tiwald - Senior Data Scientist at Mostly AI

 
14:30 Is model transparency good or bad for scientific applications of deep learning? – Plenary Talk

Cameron Buckner – Professor at the Philosophy Department, University of Houston

 

15:30 Panel Discussion with plenary speakers

 

Attendance of the day is free of charge and without registration.