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Lecture Series Artificial Intelligence

  • The "Lecture Series Artificial Intelligence" hosts lecturers from different scientific disciplines and backgrounds.
  • Due to Covid-19 restrictions physical attendance of the lectures is reserved for 1st semester AI students
  • For questions and feedback contact Johannes Kofler via kofler@ml.jku.at.

 

Semester Overview:

 

Date Speaker Affiliation Title of Talk Abstract
06.10.2020 Martin Müller Department of Computer Science, University of Alberta, Canada Computer Go -- From the Beginnings to AlphaGo and Beyond Abstract
20.10.2020 Sepp Hochreiter Institute for Machine Learning & LIT AI Lab, Johannes Kepler University Linz, Austria Deep Learning -- the Key to Enable Artificial Intelligence Abstract
27.10.2020 Oliver Bimber Institute of Computer Graphics, Johannes Kepler University Linz, Austria Seeing through Forest Abstract
03.11.2020 Georg Gottlob Department of Computer Science, University of Oxford, UK My adventures with Datalog: Walking the thin line between theory and practice Abstract
10.11.2020 Hendrik Strobelt IBM Research & MIT-IBM Watson AI Lab, Cambridge, USA Human Interaction and Collaboration with Machine Learning models Abstract
17.11.2020 Elisabeth Lex Institute of Interactive Systems and Data Science, TU Graz, Austria Recent Advances in (Session-based) Job Recommender Systems Abstract
01.12.2020 Martina Seidl Institute for Formal Models and Verification, Johannes Kepler University Linz, Austria Competitions as Scientific Method Abstract
15.12.2020 Peter Kovacs Department of Numerical Analysis, University of Budapest, Hungary   Abstract
12.01.2021 Günter Klambauer Institute for Machine Learning & LIT AI Lab, Johannes Kepler University Linz, Austria   Abstract
19.01.2021 Tega Brain Tandon School of Engineering, New York University, USA Misbehaving Systems: Experiments in distributing agency Abstract
26.01.2021 Doris Allhutter Institute of Technology Assessment, Austrian Academy of Sciences, Vienna, Austria   Abstract

Lecture Series Artificial Intelligence 2019/20