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UID:DSC-9664
DTSTART;TZID=Europe/Berlin:20150722T163000
SEQUENCE:1435663615
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20150722T173000
URL:https://www.dresden-science-calendar.de/calendar/en/detail/9664
LOCATION:TUD Andreas-Pfitzmann-Bau\, Nöthnitzer Straße 4601069 Dresden
SUMMARY:Inaugural Talks by Ivo Sbalzarini and Carsten Rother
CLASS:PUBLIC
DESCRIPTION:Speaker: \nInstitute of Speaker: \nTopics:\nPhysik\, Biologie\,
  Mathematik\, Informatik\, Elektro- u. Informationstechnik\n Location:\n  
 Name: TUD Andreas-Pfitzmann-Bau (APB E023)\n  Street: Nöthnitzer Straße 
 46\n  City: 01069 Dresden\n  Phone: \n  Fax: \nDescription: Ivo Sbalzarini
  is going to hold the first talk titled „Scientific Computing in Systems
  Biology - Unraveling the Algorithms of Life“. When cells form tissues a
 nd embryos develop\, they solve hard computational problems. Cells take de
 cisions based on local communication with neighbors and biochemical inform
 ation processing. A tissue hence constitutes a massively parallel non-dete
 rministic computer. While the source code (=genome) and hardware (=molecul
 es) are increasingly known\, the algorithms enacted remain elusive. Sbalza
 rini and his team develop theories and methods that help reverse-engineer 
 these “algorithms of life”\, focusing on methods for numerical simulat
 ions of biological processes and of biological image analysis. Comparing s
 imulation results of hypothetical “algorithms of life” with image-anal
 ysis results enables us to refine the former until they match. Therefore\,
  they develop numerical simulation methods that are designed to the specif
 ic intricacies of biological systems\, which he will review in his talk. M
 oreover\, he will show how the unifying framework of Particle Methods allo
 ws combined treatment of image-analysis\, simulation\, and model learning 
 on parallel high-performance computers. Particle Methods are therefore the
  team’s prime algorithmic research area\, including supporting by softwa
 re systems like the PPM Library and the PPML domain-specific language. Tak
 en together\, they hope to catalyze the next big step for System Biology: 
 uncovering the compute model evolved by nature that enables cells to effor
 tlessly solve NP-hard problems beyond the Bremermann limit.    The second 
 talk titled „Opportunities of Computer Vision and Machine Learning Techn
 ology in Dresden“ is going to be held by Carsten Rother. He will introdu
 ce the Computer Vision Lab Dresden. In a nutshell\, they build models that
  take visual data as input and output information. Examples range from und
 erstanding images of a 3D scene\, over image de-noising\, to tracking the 
 spine of a zebrafish. The lab’s main focus is to develop a new modelling
  framework\, we term deep structured models. This builds on the massive pa
 radigm change in machine learning - known as Deep Learning - and essential
 ly may affect all related fields that deal with \"Big Data\". In this talk
  he hopes to give some inspiration and sketch opportunities for Dresden to
  benefit from these developments.
DTSTAMP:20260726T125747Z
CREATED:20150630T112655Z
LAST-MODIFIED:20150630T112655Z
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