CDHK Lehre (ed.): Workshop Agenda: Informationsmanagement, eCollaboration & Cognitive Computing - Collaboration- und Knowledgemanagement-Systeme, Cognitive Computing mit Deep Learning Neuralen Netzwerken CDHK Tongji, 同济大学  - Shanghai 18.-21.09.2016

Inhaltliche Schwerpunkte der als Workshop am Computerarbeitsplatz gestalteten Blockveranstaltung sind (Teil I) Collaboration & Knowledge Management Systeme und (Teil II) Cognitive Computing mit Schwerpunkt auf Deep Learning Neuronalen Netzen. Die systemkonzeptionellen Schwerpunkte liegen auf: "Vier...

THEMES: CDHK Lehre\GCC Workshop 2...
META STRUCTURES: CDHK\Agenda Worksho... | Website\K-Pool
YEAR: 2016
PERM. URL: http://gcc.upb.de/CDHK/Blockseminar/CDHK-K_Pool.nsf/index/Winfo-2016
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LABEL: AI - Artificial Intelligence | Cognitive Computing | Collaboration | Communication | Coordination | Deep Learning | Encryption | Groupware | IBM Lotus Notes/Domino 9.0.1 | k-Pool | k-Viewer | Knowledge Management | Mobile Applications | Neural Networks | PAVONE Organization Modeler | Torch | Watson | Wissensmanagement
ORGANIZATIONS: CDHK - Chinesisch-Deutsches Hochschulkolleg | GCC - Groupware Competence Center | University - Tongji Universität Shanghai | Universität Paderborn - University of Paderborn
PEOPLE: Huang, Guanwei | Nastansky, Ludwig
PLACES: China | Paderborn | Shanghai
THINGS: Blockveranstaltung | Informationsmanagement | Workshop
TIME: 2016
 
GCC's WKMS-Workshops at CDHK/Tongji Shanghai 2006 - 2016: Database 'CDHK K-Pool', View 'GCCNC_ThemesCompact', Document 'Blockseminare / Workshops Information Management' AGENDA & IMPRESSIONEN, Photos, Videos
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MI 13:30
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Groupware Competence Center (GCC)
University of Paderborn, Germany
Prof. Dr. Ludwig Nastansky
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Prof. Dr. Pei Wang-Nastansky
Florida International Univ., Miami, USA
Tianjin Univ. of Commerce, China
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Workplace und Knowledge Management Systems (WKMS)
CDHK Blockveranstaltung, Tongji University Shanghai
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Metro Stiftungslehrstuhl für Innovationsmanagement und Wirtschaftsinformatik
CDHK, Tongji University, Shanghai, China
Prof. Dr. Guanwei Huang
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Thema /
Topic
..Tagesablauf / Agenda
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Beschreibung / Description
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Lehrunterlagen & Übung /
Resources
Klassenraum: Vorlesung, Übungen, Gruppenarbeit / Class
  • Lab work: Do it yourself in the classroom !
    Creating a deep neural network, training, and testing

Goal: Train the LeNet Neural Network to recognize images!
Challenge: Can the (previously completely 'dumb') network after learning from 10'000 images really distinguish a frog from a horse, a car, a boat, ... ?
Database 'CDHK K-Pool', View 'GCCNC_ThemesCompact', Document 'Deep Learning with Torch - Do it yourself !' Torch modelling with Lua
Creating and training the "LeNet" deep learning network with 10'000 CiFar-10 images
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  • The Singularity: Conference Presentation
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    Actual special topic - event:
    First German-Sino Management Innovation International Conference, 05.-06.11.15 Tongji University
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    The Singularity Challenge
    - When will Interpenetration of Internet, Artificial Intelligence, Computer Farms, Data Centers, Devices/Things, etc. take over Innovation?
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"Computing speed doubles every two subjective years of work.

Two years after Artificial Intelligences reach human equivalence, their speed doubles.

One year later, their speed doubles again.

Six months - three months - 1.5 months
... Singularity.”
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Eliezer Yudkowsky,
Staring at the Singularity, 1996
Computer Farms / Data Centers: Not that easy to get around, at least physically.
Kai Yu, at Baidu's Research Center in Silicon Valley: Making a point on Deep Learning.
  • Reading Suggestion
    ... from a student of last years seminar
    Zusammenfassung: ECTS Projektarbeiten

    - Chin. Studis: Abklärung mit Prof. Hang

    - Doppelmaster TUB: zusammen mit Prof. Hang (30% ?!)

    - Austauschstudis von div. Hochschulen: default 2 ECTS / speziell Lars Steinert

    Abschlussdiskussion - Traditionelles Abschlussfoto vor dem CDHK