Title: Black-box Optimization in Theory and in Practice. Date & Time: 27 Apr. 2021, 16:00 CEST (10:00 EST).
Rolf Findeisen, Professor at University Magdeburg
Title: Towards flexible yet safe autonomous systems – blending machine learning with predictive control. Time: Tuesday, 1st June, 16:00 CET (10:00 EST).
Gustau Camps-Valls, Proffessor at Universitat de València
Title: Physics aware and Interpretable Machine Learning for the Earth Sciences. Date & Time: 15 June 2021, 16:00 CET (10:00 EST).
Ute Schmid, Professor of Applied Computer Science/Cognitive Systems, University of Bamberg
Title: The Third Wave of Artificial Intelligence — From Blackbox Machine Learning to Explanation-based Cooperation. Time: 20th April 2021, 16:00 CET (10:00 EST).
Vincenzo Piuri, Proffesor at Universita’ degli Studi di Milano
Title: AI for Industry and Environment. Date & Time: Tuesday, 13th April 2021, 16:00 CET
Mohammad Shokoohi Yekta, Senior Data Scientist, Microsoft
Title: Hottest Trends and Challenges of Deep Learning. Date & Time: 06 April 2021, 16:00 CET (10:00 EST).
Eirini Ntoutsi, Professor at Leibnitz University, Hannover
Title: Bias in AI-systems: A multi-step approach. Date & Time: 30 March 2021, 16:00 CET (10:00 EST).
Mahdi Tavakoli, Professor in the Department of Electrical and Computer Engineering, University of Alberta
Date: March 16th at 15:00 CET (10:00 EST).
Sören Auer, Professor and Director, German Technical Information Library (TIB)
Titel: Knowledge Graphs for organizing Research Contributions and industrial Data
Date: the 9th of March, 2021, 16:00 CET
Rachel Cummings, Assistant Professor, Georgia Tech
Title: I need a better description: An Investigation Into User Expectations For Differential Privacy. This is joint work with Gabriel Kaptchuk and Elissa Redmiles. Date: 23 February 2021, 16:00 CET (10:00 EST) Speaker’s Bio: Dr. Rachel Cummings is an Assistant Professor of Industrial Engineering and Operations Research at Columbia University. She was formerly an Assistant …