CDHK Lehre (ed.): Workshop Agenda: Cognitive Computing, Machine Intelligence, and Deep Learning Neural Networks - Current state of the art and impacts of AI on business, management, manufacturing, automation and society - CDHK Tongji, 同济大学  - Online Tencent VooV Meeting 30.10.-27.11.2020

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...

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META STRUCTURES: CDHK\Agenda Worksho... | Website\K-Pool
YEAR: 2020
PERM. URL: http://gcc.upb.de/CDHK/Blockseminar/CDHK-K_Pool.nsf/index/WINFO-2020
 

GCC's Wirtschaftsinformatik-Seminars at CDHK/Tongji Shanghai 2006 - 2019: Database 'CDHK K-Pool', View 'GCCNC_ThemesCompact', Document 'Blockseminare / Workshops Information Management' AGENDA & IMPRESSIONEN, Photos, Videos
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Log Oct/Nov 2020
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CDHK - Chinesisch-Deutsches Hochschulkolleg
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Prof. Dr. Ludwig Nastansky, emer.
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Groupware Competence Center (GCC)
University of Paderborn, Germany
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Adjunct Professor
Business Information Systems
Tongji-Universität l 同济大学
Chinesisch-Deutsches Hochschulkolleg
CDHK l 中德学院
Tongji University, Shanghai
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2006 2007 2008 2009
2010 2011 2012 2013-03
2013-10 2013-11 2014 2015
2016 2017 2018 2019 2020
LOGBUCH ONLINE-SEMINAR WIRTSCHAFTSINFORMATIK

Cognitive Computing, AI/Machine Intelligence,
and Deep Learning Neural Networks

- Current state of the art and impacts of AI on business,
management, manufacturing, automation, and society -

CDHK Online Seminar WS 2020/21, Tongji University
Tencent VooV Online Meeting
30.10.-27.11.2020, jeden Freitag 17:50 - 21:35 CST
( 17:50-19:00 - Pause - 19:15-20:30 - Pause - 20:45-21:35 - Ende )
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Prof. Dr. Guanwei Huang
Metro Stiftungslehrstuhl für Innovationsmanagement und Wirtschaftsinformatik
CDHK, Tongji University
Shanghai, China
Homepage/LOGbuch:
http://gcc.upb.de/CDHK/Blockseminar/CDHK-K_Pool.nsf/index/Winfo-2020

Komplette interaktive multimediale Materialien:
AI-DL-SEM/CDHK VS-A: https://prezi.com/view/FpQTfcRAEyXOmPFHN0XH
AI-DL-SEM/CDHK VS-B: https://prezi.com/view/tOTTFafqsDQ84QbZhfMq
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Seminar-Verlauf - Lehrplan - Überblick
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Status 19.11.2020 VS-1.5
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Prezi Next Homepage - AI-Topics (c) The Economist

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Agenda
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    1. Introduction
    AI - Rise of the Machines; Deep Learning (DL) vs. Machine Learning (ML); AI and DL – A Conceptual Overview; DL-Environments and Ecosystems - Worldwide and China
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    2. The AI/DL Ecosystem: Core Developments and Technologies
    2.1. The Macro Picture: Big Data, Data Centers, Cloud Services
    2.2. The Micro Picture: Processors: From CPU over GPU to TPU and FPGA ... and more
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    3. Theory – Research
    3.1. The „Dark Ages“ of DL – Lessons of Perseverance in Research
    3.2. Network of Researchers Driving DL
    (amongst others: Geoffrey Hinton, Yann LeCun, Joshua Bengio, Andrew Ng, Jürgen Schmidhuber,
    Fei-Fei Li, ...)
    3.3. DLConcepts
    (DL Tutorial, Feed Forward & Backpropagation, Convolution & Convolution Tutorial, DL Live Layer
    Activation and Interaction, DL Glossary)
    3.4. Speech and Sound
    3.5. Tutorial / Survey: Current DL Network types, Imagenet Winners, Live Demos (ConvNetJS
    Autoencoder, ConvNet Visual Recognition, Image Kernels visualization)
    3.6. DL Godfather Geoffrey Hinton finally says: Start it over – especially Backpropagation!
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    4. Applications and Society
    4.1. Business – Entrepreneurship (Online Shopping, DL Startups, Marketing, Fraud Prevention, ...)
    4.2. Industry – Manufacturing (Automotive, Supply Chains, Logistics, ...)
    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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    6. Code-Examples und References exemplarily based on „MATLAB“ DL-Libraries
    (DL Toolbox, Visualize ConvNet Features, WebCam Image Recognition, Object Detection, Creative Art „Deep Dream“)

    Class of 2020 - Online
    VooV Meeting

Syllabus WINFO/AI-DL Workshop WS 2020/21
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ProfNastansky_CDHK-Modulbeschreibung_AI-DL-WS2020_VS-5.0.PDF
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Für deutsche Gaststudenten/Austauschstudenten:
  • ECTS-Optionen unter Pkt. 5
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