CDHK Lehre (ed.): Webinar/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 Oct-Dec 2022

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: 2022
PERM. URL: http://gcc.upb.de/CDHK/Blockseminar/CDHK-K_Pool.nsf/index/WINFO-2022
 
GCC's Wirtschaftsinformatik-Seminars at CDHK/Tongji Shanghai 2006 - 2019: Database 'CDHK K-Pool', View 'GCCNC_ThemesCompact', Document 'Blockseminare / Workshops Information Management' AGENDA & IMPRESSIONS - Photos, Videos
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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 to FPGA and SoC
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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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Oct 16, 2022
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    Textbook of the seminar
    Kai-Fu Lee and Chen Qiufan: AI 2041, Ten Visions for our Future. Currency - Penguin Random House, New York 2021
    (available as electronic version)

    Task until next seminar session: Read the introduction. Study one selected chapter of the textbook and present a summary at the beginning of the next seminar session.



    • Phillipp, chapter 1
    THE GOLDEN ELEPHANT ANALYSIS: DEEP LEARNING, BIG DATA, INTERNET/FINANCE APPLICATIONS, AI EXTERNALITIES
    • Nora, chapter 4
    CONTACTLESS LOVE ANALYSIS: AI HEALTHCARE, ALPHAFOLD, ROBOTIC APPLICATIONS, COVID AUTOMATION ACCELERATION
    • Katza chapter 8
    THE JOB SAVIOR ANALYSIS: AI JOB DISPLACEMENT, UNIVERSAL BASIC INCOME (UBI), WHAT AI CANNOT DO, 3RS AS A SOLUTION TO DISPLACEMENT
    • David, chapter 9
    ISLE OF HAPPINESS ANALYSIS: AI AND HAPPINESS, GENERAL DATA PROTECTION REGULATION (GDPR), PERSONAL DATA, PRIVACY COMPUTING USING FEDERATED LEARNING AND TRUSTED EXECUTION ENVIRONMENT (TEE)
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Oct 16, 2022
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