Difference between revisions of "Chihuahua or Muffin?"

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(Created page with "== Elective - Chihuahua or Muffin? (2018)== 9 days == Tutors == Jeroen Bouweriks<br> Brigit Lichtenegger<br> Arjen Suijker<br> Javi Lloret<br> == Special Guests == Florian...")
 
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== Elective - Chihuahua or Muffin? (2018)==
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== Elective - Chihuahua or Muffin? ==
9 days
+
10 days
  
 
== Tutors ==
 
== Tutors ==
Jeroen Bouweriks<br>
 
 
Brigit Lichtenegger<br>
 
Brigit Lichtenegger<br>
 +
Javier Lloret<br>
 
Arjen Suijker<br>
 
Arjen Suijker<br>
Javi Lloret<br>
 
  
 
== Special Guests ==
 
== Special Guests ==
 
Florian Cramer<br>
 
Florian Cramer<br>
Geert Mul<br>
+
Gaspard Bos<br>
Maaike Harbers<br>
 
Boris Smeenk<br>
 
Arthur Boer<br>
 
  
 
== Description ==
 
== Description ==
Line 28: Line 24:
 
=== Week 1 ===
 
=== Week 1 ===
 
Monday<br>
 
Monday<br>
  Kickoff with Brigit Lichtenegger & Jeroen Bouweriks
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  Kickoff with Brigit Lichtenegger & Javier Lloret. Workshop Wekinator, and a selected Short Screening
  
 
Tuesday<br>
 
Tuesday<br>
  AI and Machine Learning - Background history, philosophy, Turing Test and [[ChatBots]] with Brigit Lichtenegger
+
  AI and Machine Learning - Background history, philosophy, Turing Test and a chatbots with Javier Lloret
  
 
Wednesday<br>
 
Wednesday<br>
  Theory Session on Neural Networks. Workshop Predictive Analytics with Arjen Suijker
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  Theory Session on Neural Networks. Workshop Classification with Arjen Suijker
 
  [http://interactionstation.wdka.hro.nl/mediawiki/images/b/b4/Machine_Learning_%26_Neural_Nets.pdf workshop content]
 
  [http://interactionstation.wdka.hro.nl/mediawiki/images/b/b4/Machine_Learning_%26_Neural_Nets.pdf workshop content]
  
 
Thursday<br>
 
Thursday<br>
  Arthur de Boer and Boris Smeenk present their work, and part 1 of their Deep Learning workshop.
+
Image Generation using DCGans, Jolo and Deepdream With Brigit and Javier
 
 
Workshop Wekinator with Javier Lloret
 
  
 
Friday<br>
 
Friday<br>
Part 2 and results of the workshop with Boris and Arthur
+
Lecture and discussion with Florian Cramer
 
 
Presentation, lecture and discussion with Geert Mul en Florian Cramer
 
  
 
=== Week 2 ===
 
=== Week 2 ===
 
Monday<br>
 
Monday<br>
Presentation and Workshop on Value Sensitive Design with Maaike Harbers
+
Presentation Gaspard Bos. Session to prepare final presentations with Brigit.
  
 
Tuesday<br>
 
Tuesday<br>
Progressing on the Research with Jeroen Bouweriks
+
Propose ideas for final presentation with Brigit
  
 
Wednesday<br>
 
Wednesday<br>
Finish up research with Javier Lloret
+
Assignment time
  
 
Thursday<br>
 
Thursday<br>
Presentations on Research with Brigit and Jeroen
+
Assignment time
 +
 
 +
Friday<br>
 +
Presentations with Brigit and Javier
  
== Movie Program (may change) ==
 
Tuesday
 
[http://www.imdb.com/title/tt0470752/ Ex Machina]
 
Wednesday
 
[http://www.imdb.com/title/tt1798709/?ref_=nv_sr_1 Her]
 
Thursday
 
<br/>[[File:Computer_chess_cover.jpg|100px|Computer Chess|link=http://www.imdb.com/title/tt2007360/]]
 
<br/>
 
Monday
 
Animatrix
 
Tuesday
 
Chappy
 
Wednesday
 
Terminator
 
  
 
== Tutorials ==
 
== Tutorials ==
Line 79: Line 60:
 
Generating text using a "Recurrent Neural Network" [[RNN]]<br>
 
Generating text using a "Recurrent Neural Network" [[RNN]]<br>
  
== Epoch Workshop Results ==
 
[[File:Kneel.png|100px|Kneel|link=File:Kneel.png]]
 
[[File:Kneel blended.png|100px|Kneel Blended|link=File:Kneel blended.png]]
 
[[File:Utopia batch64.png|100px|Utopia|link= File:Utopia batch64.png]]
 
[[File:Utopia_blended.png|100px|Utopia Blended|link=File:Utopia_blended.png]]
 
<br><br>
 
[[File:Ww2.png|100px|WWII|link=File:Ww2.png]]
 
[[File:Ww2 combined.png|100px|WWII blended|link=File:Ww2 combined.png]]
 
[[File:Flags.png|100px|Flags|link=File:Flags.png]]
 
[[File:Flags combined.png|100px|Flags blended|link=File:Flags combined.png]]
 
 
== Shared Google Doc ==
 
[https://docs.google.com/document/d/1MSe-TnLRa3C92AjuZ5zvaGnL9J2vgTYOh5ku02jMYIM/edit Le Doc]
 
  
 
== References ==
 
== References ==

Revision as of 06:21, 6 January 2019

Elective - Chihuahua or Muffin?

10 days

Tutors

Brigit Lichtenegger
Javier Lloret
Arjen Suijker

Special Guests

Florian Cramer
Gaspard Bos

Description

In 2014, a machine passed the Turing Test for the first time since it was developed by Alan Turing in 1950.
The test was based in the question “Can a computer trick a human into thinking it’s actually a fellow human?”.
Even more recently, self-driving cars started driving completely autonomously without a safety driver.
The recent developments in the field of Artificial Intelligence and Machine Learning are opening up new possibilities but also presenting new challenges and ethical dilemmas. In this elective, students will be introduced to Artificial Intelligence and Machine Learning through a series of lectures, presentations, hands-on workshops and discussions. What is the current state of AI, and where is it going? How does a machine learn? And why must self-driving cars be programmed to kill? Invited guest lecturers will include media artists and theorists Geert Mul and Florian Cramer.

Planning

Week 1

Monday

Kickoff with Brigit Lichtenegger & Javier Lloret. Workshop Wekinator, and a selected Short Screening

Tuesday

AI and Machine Learning - Background history, philosophy, Turing Test and a chatbots with Javier Lloret

Wednesday

Theory Session on Neural Networks. Workshop Classification with Arjen Suijker
workshop content

Thursday
Image Generation using DCGans, Jolo and Deepdream With Brigit and Javier

Friday
Lecture and discussion with Florian Cramer

Week 2

Monday
Presentation Gaspard Bos. Session to prepare final presentations with Brigit.

Tuesday
Propose ideas for final presentation with Brigit

Wednesday
Assignment time

Thursday
Assignment time

Friday
Presentations with Brigit and Javier


Tutorials

Generating images using a "Deep Convolutional Generative Adversarial Network" DCGAN
Generating text using a "Recurrent Neural Network" RNN


References

Crapularity Hermeneutics
Geert Mul - Match of the Day
Timo Arnall - Robot Readable World
Algoliterary Bibliography
OpenEth Computable Ethics
Why Self-Driving Cars Must Be Programmed to Kill
Fooling Neural Networks in the Physical World with 3D Adversarial Objects
Deep Learning is not the AI future
Future of Life Institute
How Many Computers to Identify a Cat? 16,000
Speech Recognition and Deep Learning
NPU chips in intelligent phones
The FRIEND-Browser
Googlism
owow bots
New AI can guess whether you're gay or straight from a photograph
AI picks up racial and gender biases when learning from what humans write: There is no objectivity
mrpimpgoodgame.over