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  - Shanghai 14.-17.10.2018

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: 2018
PERM. URL: http://gcc.upb.de/CDHK/Blockseminar/CDHK-K_Pool.nsf/index/WINFO-2018
 
GCC's Wirtschaftsinformatik-Workshops at CDHK/Tongji Shanghai 2006 - 2018: Database 'CDHK K-Pool', View 'GCCNC_ThemesCompact', Document 'Blockseminare / Workshops Information Management' AGENDA & IMPRESSIONEN, Photos, Videos
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MO 15.10. 08:30-12:00
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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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    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)
    3.3. DL Concepts > DL Live Layer Activation
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    LOG/Protokoll Mo 15.10.2018
  • Diskussion Q&A Themen Eigenstudium/Hausarbeit
    AI/DL-PREZI "1. Introduction" > AI-Rise of the Machines - Machine Learning vs. Deep Learning - AI/Deep Learning - XAI/Explainable Artificial Intelligence
  • AI/DL-PREZI "2. Technology" > 2.1 GP-TPU-FGPA-SoC - 2.2 Data Centers
  • AI/DL-PREZI "4. Trends, Applications, Society" > 4.1 Business > Information - Content - ByteDance IPO
  • AI/DL-PREZI "3. Theory, Research - Deep Learning Core" > "3.1 From the Dark Ages ..." - "3.2 People" Geoffrey Hinton, Yann LeCun, Joshua Bengio, Andrew Ng, Juergen Schmidhuber, Fei-Fei Li - "3.3 DL Concepts" > DL Live Layer Activation
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    Empfehlung bis Di 08:30
    Tinker with this Excellent Tutorial DL-Demo on the TensorFlow Playground
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