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resources-overview

Overview of resources on AI and related topics.

Format next meetup

  • Show & Tell
  • World Café (table discussions)

Check the Slack: https://handsonai.slack.com/, ask Johan or Jan for an invite.

Mentioned in Slack

Machine Learning for Artists Github: https://github.com/ml4a

Generating Kittens: http://affinelayer.com/pixsrv/index.html

Topics from the meetup

hacking events (on specific techniques), improvised music, text, neural networks, jobs, media, image recognition, image generation, generative art, emotions in text, emotions in face images, micro-expressions, design, warable, installation art, film, video, photography.

What can I do with AI?

Prototype things and see how they impact behavior.

AI answering big life questions: should I have children?

AI writing interactive horror story (whatsapp bots).

AI penpall (fiction).

List open source AI libs and services.

All AI use same "theory of emotion" <-> philosophy of algorithms.

Training data: what to use, where to get it, who owns it?

AI as a new perspective on things/problems/solutions (not as the solution itself).

Neural feedback loop: AI recognizing emotions and sending feedback to make user aware of self (mindfullness).

Create images from words (like "Platonic", or rather Wittgensteinian, examples).

"Hipsterbar" digital doorkeeper (and ethical implications).

Human computing and gamification (metadata and trainingset creation, for example for Europeana): duolingo, recaptcha, RNA sequencing games, galaxy zoo, crowd crafting, mechanical turk, crowdflower.

Types of AI: supervised learning, unsupervised learning, rule based, natural computing, game AI, ...

Ethics, futurism, http://lesswrong.com/

Algorithms 101

Kaggle competition hack evenings: https://www.kaggle.com/

Possible presentations

  • Introduction to Natural Computing (by Johan Groenen)
  • Introduction to Artificial Intelligence (by Johan Groenen)

Online courses

https://www.udacity.com/course/intro-to-machine-learning--ud120

https://www.coursera.org/learn/machine-learning

https://www.udacity.com/course/intro-to-statistics--st101

https://www.udacity.com/course/deep-learning--ud730

Youtube links

Deep Learning: https://www.youtube.com/channel/UC9OeZkIwhzfv-_Cb7fCikLQ

Neural Network: https://www.youtube.com/watch?v=AyzOUbkUf3M

Websites

V2_ website: http://v2.nl/events/hands-on-ai-kick-off

Meetup page: https://www.meetup.com/Unstable-Media-Meetup-Rotterdam/

Alex Falks notes

Creative applications

  • Horror story bot
  • Improv music
  • AI "jamming"
  • Chat/text robots
  • AI playing games
  • Improving "single player mode"

Ethical implications

  • Ethics
  • Privacy & Transparency
  • Data collection
  • AI Rebels
  • We don't know what we don't know

AI categories

  • Unsupervised machine learning
  • Supervised machine learning
  • Euristics
  • Swarm Algoritm
  • Semantic Toolboxes
  • Expert systems
  • Rule based systems
  • Robotics

Social applications

  • AI psychology
  • Medical data analysis
  • Neural feedback
  • Handicap applications (AI for blind people)
  • City oriented bots

Human/Computer Integration

  • AI/Human Synergy
  • Thought provoking bots
  • Brain/computer Interface
  • Cyborgs

AI Community

  • AI History
  • Discourse group
  • Collectively owned AI resource
  • Talent development
  • Open source collection
  • Shared data sets
  • Skill exchange

Imagery

  • Pattern recognition
  • Image generation
  • recognizing chairs

Education

  • Where to look/start?
  • Low threshold
  • Making machine learning fun!

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