Deep Learning and the AI-Hype

Abstract:

Deep learning, referring to machine learning with deep neural networks, has revolutionized data science. It receives media attention, billion dollar investments, and caused rapid growth of the field. In this talk I will present the old and new technologies behind deep learning, which problems have been solves, and how intelligent this hyped new "artificial intelligence" really is.

CV:
Tobias Glasmachers is a professor for theory of machine learning at the Institut für Neuroinformatik, Ruhr-Universität Bochum, Germany. His research interests are (supervised) machine learning and optimization.

2004-2008: Ph.D. in Christian Igel's group at the Institut für Neuroinformatik in Bochum. He received my Ph.D. in 2008 from the Faculty of Mathematics, Ruhr-Universität Bochum, Germany; 2008-2009: Post-doc in the same group;

2009-2011: Post-doc in Jürgen Schmidhuber's group at IDSIA, Lugano, Switzerland;

2012-2018: Junior professor for theory of machine learning at the Institut für Neuroinformatik, Ruhr-Universität Bochum, Germany. He is the head of the optimization of adaptive systems group;

2018: Promotion to full professor.