Autor*innen mit den meisten Dokumenten
Auflistung nach:
Neueste Veröffentlichungen
- ZeitschriftenartikelHerausforderungen an der Schnittstelle von Informatik und Gesellschaft(Informatik Spektrum: Vol. 40, No. 2, 2017) Anding, Markus; Boes, Andreas; Eckert, Claudia; Harhoff, Dietmar; Hess, Thomas; Münch, Ursula; Pretschner, Alexander
- ZeitschriftenartikelCore Competence Shift Happens(Informatik Spektrum: Vol. 40, No. 2, 2017) Dueck, Gunter
- ZeitschriftenartikelDas Münchner Wissenschaftsnetz(Informatik Spektrum: Vol. 40, No. 2, 2017) Hegering, Heinz-Gerd; Reiser, Helmut; Kranzlmüller, Dieter
- ZeitschriftenartikelNeurorobotics(Informatik Spektrum: Vol. 40, No. 2, 2017) Knoll, Alois; Röhrbein, Florian; Kuhn, Alexander; Akl, Mahmoud; Sharma, KennyThe field of neurorobotics encompasses the intersection of computational neuroscience and robotics. The TUM-led neurorobotics subproject of the Human Brain Project is actively researching concepts within the field and developing the tools to allow researchers to fully explore simulated robotics driven by computational neuroscience models. Further, the development of biologically inspired, tendon-driven robotics systems provides a unique research platform. These efforts allow researchers to explore the interesting space from computational neuroscience to intelligent robots and back.
- ZeitschriftenartikelMitteilungen der Gesellschaft für Informatik 244. Folge(Informatik Spektrum: Vol. 40, No. 2, 2017)
- ZeitschriftenartikelDie Evolution des Hauptspeicherdatenbanksystems HyPer(Informatik Spektrum: Vol. 40, No. 2, 2017) Kemper, Alfons; Leis, Viktor; Neumann, Thomas
- ZeitschriftenartikelAlles 4.0! Oder manchmal doch 3.5?(Informatik Spektrum: Vol. 40, No. 2, 2017) Liggesmeyer, Peter
- ZeitschriftenartikelBioinformatics advances biology and medicine by turning big data troves into knowledge(Informatik Spektrum: Vol. 40, No. 2, 2017) Gagneur, Julien; Friedel, Caroline; Heun, Volker; Zimmer, Ralf; Rost, BurkhardInformatics and life sciences (molecular biology and medicine) are undoubtedly the most rapidly growing and most dynamic endeavors of modern society. Computational biology or bioinformatics describes the rising field that integrates those endeavors. Over the last 50 years, the field has shifted focus from the study of individual genes and proteins (1967–1994), to that of entire organisms (19952015), and more recently to studying the diversity of populations. The increasing amount of big data created by the life sciences is challenging already by its volume alone. Even more challenging is the high intrinsic complexity of the data. In addition, the data are changing at a breathtaking speed; most data generated in 2016 probes conditions that had not been anticipated 15 years ago. Precision medicine and personalized health are just two descriptors of how modern biology will become relevant for improving our health. All new drugs have at some point have bioinformatics tools in their development. Similarly, there would not be any digital medicine without the bioinformatics expertise or any advances without mastering machine learning tools turning raw data into valuable insights and decisions.
- ZeitschriftenartikelForum: Revision Datenschutz in der Schweiz(Informatik Spektrum: Vol. 40, No. 2, 2017)
- Zeitschriftenartikel50 Jahre Informatik an den Universitäten in München(Informatik Spektrum: Vol. 40, No. 2, 2017) Bode, Arndt; Broy, Manfred; Bungratz, Hans-Joachim; Matthes, Florian