GSI-FAIR Colloquium

From Machine Learning at CERN to Artificial Intelligence in Retail

by Michael Feindt (Blue Yonder, Karlsruhe)

Europe/Berlin
SB1 1.120 (GSI Main Lecture Hall)

SB1 1.120

GSI Main Lecture Hall

Description
NeuroBayes is a robust, fast and award winning machine learning algorithm with exceptional generalisation properties for classification and event-by-event unfolding (conditional probability densities) on the basis of big (and not so big) amounts of data. NeuroBayes has its roots in high energy physics and is used very successfully in many experiments at CERN, Fermilab and KEK, up to completely automatic hierarchical reconstruction and analysis systems consisting of about 70 networks that outperform classical and hand-made methods by more than a factor of two on thousand decay channels. Since 2002 NeuroBayes is further developed and applied by the private company Phi-T. Later Blue Yonder, founded in 2008, has managed to close the gap between theory and practice and has a huge track record of extremely successful prediction and optimisation projects in very different industries such as retail, online trading, insurance, finance, healthcare and industry, always completely data-driven using strictly scientific - mostly Bayesian - methods. Blue Yonder by now forms the largest industry pool of PhD data scientists in Europe, most of them with strong research experience in either physics or computing. The talk gives an overview of some exciting artificial intelligence projects in fundamental research and economy, and some insights into the huge differences between science and the "real world“.
Poster