TY - JOUR A1 - Krah, Markus A1 - Thulin, Mirjam A1 - Faierstein, Morris M. A1 - Drori, Danielle A1 - Coors, Maria A1 - Schramm, Netta A1 - Driver, Cory A1 - Holzman, Gitit A1 - Zuckermann, Ghil‘ad A1 - Fishbane, Eitan P. A1 - Gruenbaum, Caroline A1 - Schirrmeister, Sebastian A1 - Ferrari, Francesco A1 - Stemberger, Günter A1 - Schmölz-Häberlein, Michaela A1 - Müller, Judith A1 - Schulz, Michael Karl A1 - Meyer, Thomas A1 - Artwińska, Anna A1 - Walter, Simon ED - Krah, Markus ED - Thulin, Mirjam ED - Pick, Bianca T1 - PaRDeS : Zeitschrift der Vereinigung für Jüdische Studien = Transformative Translations in Jewish History and Culture BT - PaRDeS : Zeitschrift der Vereinigung für Jüdische Studien e. V. N2 - PaRDeS, die Zeitschrift der Vereinigung für Jüdische Studien e. V., erforscht die fruchtbare kulturelle Vielfalt des Judentums sowie ihre Berührungspunkte zur nichtjüdischen Umwelt in unterschiedlichen Bereichen. Daneben dient die Zeitschrift als Forum zur Positionierung der Fächer Jüdische Studien und ­Judaistik innerhalb des wissenschaftlichen Diskurses sowie zur Diskussion ihrer historischen und gesellschaftlichen Verantwortung. N2 - PaRDeS, the journal of the German Association for Jewish Studies, aims at exploring the fruitful and multifarious cultures of Judaism as well as their relations to their environment within diverse areas of research. In addition, the journal promotes Jewish Studies within academic discourse and reflects on its historic and social responsibilities. T3 - PaRDeS : Zeitschrift der Vereinigung für Jüdische Studien e.V. - 25 KW - Jüdische Studien KW - Übersetzungen KW - Bibel KW - Hebräisch KW - Jiddisch KW - Jewish Studies KW - Translations KW - Bible KW - Hebrew KW - Yiddish Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-432621 SN - 978-3-86956-468-5 SN - 1614-6492 SN - 1862-7684 IS - 25 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Zimmermann, Matthias A1 - Horn-Conrad, Antje A1 - Görlich, Petra A1 - Schlegel, Karoline A1 - Kampe, Heike ED - Engel, Silke ED - Zimmermann, Matthias T1 - Portal Wissen = Artificial intelligence BT - The Research Magazine of the University of Potsdam N2 - For a long time, there were things on this planet that only humans could do, but this time might be coming to an end. By using the universal tool that makes us unique – our intelligence – we have worked to eliminate our uniqueness, at least when it comes to solving cognitive tasks. Artificial intelligence is now able to play chess, understand language, and drive a car – and often better than we. How did we get here? The philosopher Aristotle formulated the first “laws of thought” in his syllogisms, and the mathematicians Blaise Pascal and Wilhelm Leibniz built some of the earliest calculating machines. The mathematician George Boole was the first to introduce a formal language to represent logic. The natural scientist Alan Turing created his deciphering machine “Colossus,” the first programmable computer. Philosophers, mathematicians, psychologists, and linguists – for centuries, scientists have been developing formulas, machines, and theories that were supposed to enable us to reproduce and possibly even enhance our most valuable ability. But what exactly is “artificial intelligence”? Even the name calls for comparison. Is artificial intelligence like human intelligence? Alan Turing came up with a test in 1950 to provide a satisfying operational definition of intelligence: According to him, a machine is intelligent if its thinking abilities equal those of humans. It has to reach human levels for any cognitive task. The machine has to prove this by convincing a human interrogator that it is human. Not an easy task: After all, it has to process natural language, store knowledge, draw conclusions, and learn something new. In fact, over the past ten years, a number of AI systems have emerged that have passed the test one way or another in chat conversations with automatically generated texts or images. Nowadays, the discussion usually centers on other questions: Does AI still need its creators? Will it not only outperform humans but someday replace them – be it in the world of work or even beyond? Will AI solve our problems in the age of all-encompassing digital networking – or will it become a part of the problem? Artificial intelligence, its nature, its limitations, its potential, and its relationship to humans were being discussed even before it existed. Literature and film have created scenarios with very different endings. But what is the view of the scientists who are actually researching with or about artificial intelligence? For the current issue of our research magazine, a cognitive scientist, an education researcher, and a computer scientist shared their views. We also searched the University for projects whose professional environment reveals the numerous opportunities that AI offers for various disciplines. We cover the geosciences and computer science as well as economics, health, and literature studies. At the same time, we have not lost sight of the broad research spectrum at the University: a legal expert introduces us to the not-so-distant sphere of space law while astrophysicists work on ensuring that state-of-the-art telescopes observe those regions in space where something “is happening” at the right time. A chemist explains why the battery of the future will come from a printer, and molecular biologists explain how they will breed stress-resistant plants. You will read about all this in this issue as well as about current studies on restless legs syndrome in children and the situation of Muslims in Brandenburg. Last but not least, we will introduce you to the sheep currently grazing in Sanssouci Park – all on behalf of science. Quite clever! Enjoy your read! THE EDITORS T3 - Portal Wissen: The research magazine of the University of Potsdam [Englische Ausgabe] - 01/2019 Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-442469 SN - 2198-9974 IS - 01/2019 CY - 54 ER - TY - JOUR A1 - Kampe, Heike A1 - Horn-Conrad, Antje A1 - Zimmermann, Matthias A1 - Scholz, Jana A1 - Görlich, Petra A1 - Eckardt, Barbara A1 - Krafzik, Carolin ED - Engel, Silke ED - Zimmermann, Matthias T1 - Portal Wissen = Data BT - The Research Magazine of the University of Potsdam N2 - Data assimilation? Stop! Don’t be afraid, please, come closer! No tongue twister, no rocket science. Or is it? Let’s see. It is a matter of fact, however, that data assimilation has been around for a long time and (almost) everywhere. But only in the age of supercomputers has it assumed amazing proportions. Everyone knows data. Assimilation, however, is a difficult term for something that happens around us all the time: adaptation. Nature in particular has demonstrated to us for millions of years how evolutionary adaptation works. From unicellular organisms to primates, from algae to sequoias, from dinosaurs ... Anyone who cannot adapt will quickly not fit in anymore. We of course have also learned to adapt in new situations and act accordingly. When we want to cross the street, we have a plan of how to do this: go to the curb, look left and right, and only cross the street if there’s no car (coming). If we do all this and adapt our plan to the traffic we see, we will not just safely cross the street, but we will also have successfully practiced data assimilation. Of course, that sounds different when researchers try to explain how data assimilation helps them. Meteorologists, for example, have been working with data assimilation for years. The German Weather Service writes, “In numerical weather prediction, data assimilation is the approximation of a model run to the actual development of the atmosphere as described by existing observations.” What it means is that a weather forecast is only accurate if the model which is used for its calculation is repeatedly updated, i.e. assimilated, with new measurement data. In 2017 an entire Collaborative Research Center was established at the University of Potsdam, CRC 1294, to deal with the mathematical basics of data assimilation. For Portal Wissen, we asked the mathematicians and speakers of the CRC Prof. Sebastian Reich and Prof. Wilhelm Huisinga how exactly data assimilation works and in which areas of research they can be used profitably in the future. We have looked at two projects at the CRC itself: the analysis of eye movements and the research on space weather. In addition, the current issue is full of research projects that revolve around data in very different ways. Atmospheric physicist Markus Rex throws a glance at the spectacular MOSAiC expedition. Starting in September 2019, the German research icebreaker “Polarstern” will drift through the Arctic Ocean for a year and collect numerous data on ice, ocean, biosphere, and atmosphere. In the project “TraceAge”, nutritionists will use the data from thousands of subjects who participated in a long-term study to find out more about the function of trace elements in our body. Computer scientists have developed a method to filter relevant information from the flood of data on the worldwide web so as to enable visually impaired to surf the Internet more easily. And a geophysicist is working on developing an early warning system for volcanic eruptions from seemingly inconspicuous seismic data. Not least, this issue deals with the fascination of fire and ice, the possibilities that digitization offers for administration, and the question of how to inspire children for sports and exercise. We hope you enjoy reading – and if you send us some of your reading experience, we will assimilate it into our next issue. Promised! T3 - Portal Wissen: The research magazine of the University of Potsdam [Englische Ausgabe] - 02/2019 Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-442574 SN - 2198-9974 IS - 02/2019 ER -