Tübingen\/Stuttgart: On November 6, 2019, Cyber\u00a0Valley will be hosting an afternoon of public lectures at Berlin Science Week, where scientists from the research consortium’s partner institutions will present their research in the field of artificial intelligence (AI). At the "AI Research in Cyber\u00a0Valley: Talks on Science and Society" event, scientists from the Max Planck Institute for Intelligent Systems, the University of Tübingen, and the University of Stuttgart will discuss topics ranging from nanorobots for surgery and brain-computer interfaces, to fairness in machine learning and the ethics of AI. The researchers aim to illustrate the interdisciplinary nature of the field, while at the same time addressing how AI will change society.<\/p> \n \n
Event: <\/strong>"AI research in Cyber\u00a0Valley: Talks on Science and Society"<\/p>
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\n Date:<\/strong> November 6, 2019<\/p>
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\n Time: <\/strong>4:00 p.m. – 7:30 p.m.<\/p>
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\n Location: <\/strong>Berlin <\/strong>Museum of Natural History, New Lecture Hall, Invalidenstrasse 43, 10115 Berlin<\/p>
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\n Language:<\/strong> English<\/p>
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\n Admission:<\/strong> Free<\/p>
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\n Speakers<\/strong>:<\/p>
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\n Tian Qiu <\/strong><\/p>
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\n Tian Qiu was recently appointed leader of the new Cyber\u00a0Valley Biomedical Systems Research Group at the University of Stuttgart. Prior to this, he completed his post-doctoral work at the Max Planck Institute for Intelligent Systems in Stuttgart. His research focuses on creating new devices and microsystems for biomedical applications. The aim is to integrate actuation, sensing, and computation to advance minimally invasive medical procedures.<\/p>
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\n Talk: Nanorobots Inside Us – How Nanotechnology could Change Surgery <\/em><\/p>
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\n Fabian Sinz<\/strong><\/p>
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\n Fabian Sinz is an award-winning scientist whose research interests lie in the combination of machine learning, computational neuroscience, and neural data. In 2018, he was appointed leader of the newly established independent Cyber\u00a0Valley Neuronal Intelligence Research Group at the University of Tübingen. He is also currently an Adjunct Assistant Professor at the Baylor College of Medicine’s Center for Neuroscience and Artificial Intelligence in Houston, Texas.<\/p>
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\n Talk: Real inception – Gaining Insights into the Brain by Controlling Real Neurons with AI <\/em><\/p>
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\n Matthias Hohmann<\/strong><\/p>
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\n Matthias Hohmann is a PhD student in the Empirical Inference Department at the Max Planck Institute for Intelligent Systems in Tübingen. His research focuses on making participation in neuroscience more accessible, especially for people with rare diseases. The goal is to improve quality of life, support caregivers, and break down barriers in basic research. For his current project, he developed an app that makes participation in large-scale neuroscientific studies from home possible, without expert supervision.<\/p>
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\n Talk: From the Lab into the Wild: A Platform for At-Home Participation in Neuroscientific Studies <\/em><\/p>
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\n Caterina De Bacco <\/strong><\/p>
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\n Caterina De Bacco leads the Cyber\u00a0Valley Physics for Inference and Optimization Research Group at the Max Planck Institute for Intelligent Systems in Tübingen. In her research, she develops models and algorithms based on the principles of statistical physics. The aim is to understand, optimize, and predict relations between the properties of complex large-scale interacting systems. Before joining MPI-IS, she was a postdoc at Columbia University’s Data Science Institute in New York.<\/p>
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\n Talk: Physics for Inference and Optimization<\/em><\/p>
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\n Isabel Valera <\/strong><\/p>
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\n Isabel Valera leads the Probabilistic Learning Research Group at the Max Planck Institute for Intelligent Systems in Tübingen. Her research focuses on the development of machine learning methods that are flexible, robust, and fair. She obtained her PhD in 2014 in Multimedia and Communications from the University Carlos III in Madrid, and then worked at the MPI for Software Systems as a postdoctoral fellow, and at the University of Cambridge as an associated researcher.<\/p>
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\n Talk: Fairness in Artificial Intelligence: Challenges and Recent Advances <\/em><\/p>
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\n Thilo Hagendorff <\/strong><\/p>
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\n Thilo Hagendorff is a media and technology ethicist. He received his doctorate in sociology in 2013 and has since been a research associate at the University of Tübingen’s International Center for Ethics in the Sciences and Humanities (IZEW). In 2019, he began working for the "Machine Learning: New Perspectives for Science" Excellence Cluster. He is also a lecturer at the University of Tübingen and at the University of Potsdam’s Hasso Plattner Institute.<\/p>
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\n Talk: A Comprehensive Overview of AI Ethics<\/em><\/p>
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