Joachim M. Buhmann is full Professor for Computer Science at ETH Zurich since October 2003. He heads the Institute for Machine Learning at the Department of Computer Science. Born 1959 in Friedrichshafen at the Lake of Constance (Germany), Joachim Buhmann studied physics at the Technical University of Munich and was awarded a PhD for his work on artificial neuronal networks. After research appointments at the University of Southern California and at the Lawrence Livermore National Laboratory he worked as professor for practical computer science at the University of Bonn (1992 – 2003). Buhmann’s research interests cover theory and applications of machine learning and artificial intelligence, as well as a wide range of subjects related to information processing in the life sciences. As a central challenge in the area of machine learning he investigates the question, how complex models and algorithms in the analysis of data (Big Data) can be validated, if they are estimated from empirical observations. Particularly, the concepts of statistical and algorithmic complexity and their correlations need to be understood in this context. Joachim Buhmann worked as Director of Studies (2008 – 2013) and as Vice-Rector for Study Programmes (2014-2017) of ETH Zurich. Since 2017, he represents the data science area as a member of the National Research Council of the Swiss National Science Foundation (SNSF). The German Pattern Recognition Society (DAGM), which he chaired from 2009 to 2015, awarded him with the honorary membership in 2017. He was elected an individual member of the Swiss Academy of Engineering Sciences (SATW) in the same year.
- Panel Discussion (healthcare) - Deep Learning- Hype or Hope (14:00 - 14:30 / Track 1)
- Panel Discussion (healthcare) cont. - Deep Learning- Hype or Hope (14:30 - 15:00 / Track 1)
- Panel Discussion - The impact we want AI to have on society (16:45 - 17:30 / Track 1)