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. .Thema /
Topic
. | .Tagesablauf / Agenda
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Beschreibung / Description
. | 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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3. Concepts - Theory – Research
(Natural) Neurons in biology, with Synapses, Axons, Dendrites, etc., 3 dimensions
vs.
Artificial Neurons in Neural Networks, with nodes and arcs in a deep layer structure, mostly 2 dimensions
3.1. The „Dark Ages“ of DL – Lessons of Perseverance in Research
3.2. People: Network of Researchers Driving DL(amongst others: Geoffrey Hinton, Yann LeCun, Joshua Bengio, Andrew Ng, Jürgen Schmidhuber, Fei-Fei Li, Kai-Fu Lee)
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