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...

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YEAR: 2017
PERM. URL: http://gcc.upb.de/CDHK/Blockseminar/CDHK-K_Pool.nsf/index/Winfo-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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DO 12.10. 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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    1. Introduction
    (AI - Rise of the Machines, Machine Learning (ML) vs. Deep Learning (DL), AI and DL – A Conceptual Overview)

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    2. Underlying and Defining Core Developments and Technologies
    2.1. Big Data and worldwide Distribution of Data Centers
    2.2. Processors: From CPU over GPU to TPU and FPGA
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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.
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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)
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