Falling Walls Circle Table: Industrial AI or the Challenge to Scale AI in the Physical World
Falling Walls Foundation | Zulfikar Abbany, Michael Bolle, Sami Haddadin, Andrew Ng, Bernhard Schölkopf
LIVE: Setting the Post-Corona-Agenda
Industrial Artifical Intelligence is defined as the utilization of AI for physical products and within the process of their creation. This differentiates Industrial AI from purely software driven use-cases typically associated with hyperscalers.
The transfer of AI from the virtual world to the physical world at scale poses unique challenges in its robustness, safety and security. The collection of training data from physical processes is usually much more expensive and time consuming than in virtual, software-driven settings. Is data driven even the right approach for Industrial AI? How can developers incorporate prior engineering knowledge in their mathematical models to make Industrial AI more efficient and explainable?
These developments pose crucial questions in digital trust. Robustness, safety and security are the basis to trust Industrial AI, but ethical concerns are playing a critical role in designing these systems in the right way.
Join and follow the discussion between three distinguished AI pioneers – Bernhard Schölkopf, Sami Haddadin, Andrew Ng – and Michael Bolle, who is leading Bosch to the forefront of Industrial AI.
Falling Walls Circle Tables will give the spotlight to world-leading scientists, science strategists and policy-makers from academia, business and politics discuss how we can apply science, research and innovation to get the world moving again.
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Zulfikar Abbany is a Senior Science Editor and multimedia journalist for Germany’s international broadcaster, DW (Deutsche Welle). He has produced and presented events for the European XFEL, DESY and World Health Summit in Germany, DATA.SPACE in Glasgow and spoken at the Battle of Ideas in London. Before that he was in news and current affairs with Australia Network television and Radio Australia for the Asia Pacific region. He has written for New Scientist, The Independent, The Observer, Sydney Morning Herald and The (Melbourne) Age newspapers.
Michael Bolle has been a member of the board of management of Robert Bosch GmbH since July 1, 2018. As chief digital officer and chief technology officer, he is responsible for the corporate sector for research and advance engineering as well as for the internet of things and digitalization (ID) and data processing (IT). His responsibilities also include the Bosch.IO GmbH subsidiary and the corporate departments for technology, intellectual property, and quality management.
Born in Bergheim, Germany, on May 6, 1961, Michael Bolle is married and has four children. After leaving school in 1981, he studied telecommunications at RWTH University of Aachen, taking his diploma examination in 1986. Under the supervision of Alfred Fettweis, professor for telecommunications in the electrical engineering faculty at the University of Bochum, he was awarded a PhD (Dr.-Ing.) in 1992.
Munich School of Robotics and Machine Intelligence
Prof. Sami Haddadin is Director of the Munich School of Robotics and Machine Intelligence at the Technical University of Munich (TUM) and holds the Chair of Robotics and System Intelligence. His research interests include robot design and control, robot learning, collective intelligence, human-robot interaction, embodied AI, human neuromechanics, intelligent prosthetics and robot safety. Prof. Haddadin was Chair of the Institute of Automatic Control at Gottfried Wilhelm Leibniz Universität Hannover from 2014 to 2018. Prior to that, he held various positions as a researcher at DLR. He has received numerous awards for his scientific work, including the German Future Prize of the Federal President (2017) and the Leibniz Prize (2019).
Andrew Ng is Co-founder of Coursera, and an Adjunct Professor of Computer Science at Stanford University. His machine learning course is the MOOC that had led to the founding of Coursera. In 2011, he led the development of Stanford University’s main MOOC (Massive Open Online Courses) platform and also taught an online Machine Learning class to over 100,000 students, thus helping launch the MOOC movement and also leading to the founding of Coursera. Ng also works on machine learning, with an emphasis on deep learning. He had founded and led the “Google Brain” project, which developed massive-scale deep learning algorithms. This resulted in the famous “Google cat” result, in which a massive neural network with 1 billion parameters learned from unlabeled YouTube videos to detect cats. Until recently, he led Baidu’s ~1300 person AI Group, which developed technologies in deep learning, speech, computer vision, NLP, and other areas.
Bernhard Schölkopf is the director of the Max Planck Institute for Intelligent Systems in Tübingen. With his foundational research, Bernhard was able to become one of the most important voices in machine learning and specifically the area of causality. His work includes “common sense”-based artificial intelligence, which smartly separates coincidental correlation from actual causation. His research has won him several prestigious awards and he is currently co-heading an AI research lab funded by Amazon. Bernhard’s research is essential in shaping the intelligent systems we will increasingly interact with on a daily basis.
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