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Relax, leading is about trusting your team | Sarah Fleischer
TEDxTUMSalon 2016 • Tags: Big problems, Business, Communication, Community, Creativity, Engineering, Future, Germany, Global issues, Innovation, Leadership, Mobility, Motivation, Sustainability, Transportation
In an increasingly fast-moving world, transportation is one of the Big Problems of the future. Such challenges need to be tackled in an interdisciplinary manner. Sarah Fleischer is part of a student team at the Technical University of Munich which is building a Hyperloop pod as part of the global competition launched by SpaceX. Their [read more]
Relax, leading is about trusting your team | Sarah Fleischer | TEDxTUMSalon

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Water Systems in Cities of the Future | Jörg Drewes
TEDxTUMSalon 2016 • Tags: Cities, Community, Engineering, Environment, Germany, Global issues, Nature, Sustainability, Urban Planning, Water
Everyone of us consumes 140 Liters of water each day, but only a fraction of it is used for cooking and drinking. Moreover, the water systems we rely upon are based on technology that is far too old and not future-proof. Professor Jörg Drewes works on alternative models for the water systems of the future. [read more]
Water Systems in Cities of the Future | Jörg Drewes | TEDxTUMSalon

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Disappearable Computing and what it means to us | Nikolaj Hviid
TEDxTUMSalon 2016 • Tags: Big Data, Biotech, Business, Computers, Data, Future, Germany, Medicine, Senses, Society, Technology, Work
Interaction with computers evolved drastically over the last three decades – we went from punchcards to terminal to graphical interfaces and smartphones. As we start wearing increasingly tiny computers very close to our body on a day-to-day basis, Nikolaj Hviid projects this trend into the future. What if computers disappear completely to become part of [read more]
Disappearable Computing and what it means to us | Nikolaj Hviid | TEDxTUMSalon

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How to predict everything – even who dies next in Game of Thrones | Guy Yachdav
TEDxTUMSalon 2016 • Tags: AI, Book, Computers, Culture, Data, Death, Film, Germany, Literature, Science, Technology, TV, Visualization
Machine Learning algorithms are routinely used to find hidden patterns in e.g. genomic data. But what if you used Machine Learning to get answers to questions that interest you personally? Guy Yachdav and his colleagues, Dr. Tatyana Goldberg and Christian Dallago, set out to ask the data something that was keeping him up at night: [read more]
How to predict everything - even who dies next in Game of Thrones | Guy Yachdav | TEDxTUMSalon

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