CDHK Lehre (ed.): Workshop Agenda:Cognitive Computing, Machine Intelligence and Deep Learning Neural Networks - Current state of the art and impacts on business, management, manufacturing, automation and society - CDHK Tongji, 同济大学  - Shanghai 11.-14.10.2017

Goal: Conveying to students the broader picture and current state oft the art of the fast changing areas currently defined by cognitive computing, machine learning, artificial intelligence, and - especially – deep learning neural networks. The depth of discussion is on the level of a survey, introd...

THEMES: CDHK Lehre\GCC Workshop 2...
META STRUCTURES: CDHK\Agenda Worksho... | Website\K-Pool
YEAR: 2017
PERM. URL: http://gcc.upb.de/CDHK/Blockseminar/CDHK-K_Pool.nsf/index/Winfo-2017
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User: Anonymous

LABEL: AI - Artificial Intelligence | Cognitive Computing | DL - Deep Learning | Encryption | Image Recognition | k-Pool | Knowledge Management | MatLab | MI - Machine Intelligence | Mobile Applications | Neural Networks | 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: 2017
 
GCC's WKMS-Workshops at CDHK/Tongji Shanghai 2006 - 2017: Database 'CDHK K-Pool', View 'GCCNC_ThemesCompact', Document 'Blockseminare / Workshops Information Management' AGENDA & IMPRESSIONEN, Photos, Videos
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SA 14.10. 09;00
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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
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.Tagesablauf / Agenda
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Beschreibung / Description
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Lehrunterlagen & Übung /
Resources
Klassenraum: Vorlesung, Übungen, Gruppenarbeit / Class
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    4. Applications and Society
    4.1. Business (DL Startups, Marketing, Fraud Prevention, ...)
    4.2. Industry – Manufacturing (Automotive, ...)
    4.3. Society (Education and Policy, Health and Medical, Impact on Jobs – Automation Anxiety)
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    5. Miscellaneous – Open Issues
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