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In the framework of Saison Numérique the Maison du Livre opens its space for Algolit during three days in a row. The group presents lectures, workshops and a small exhibition about the narrative perspective of neural networks. Neural networks are selflearning algorithms based on statistics. They often function as opaque 'blackbox' algorithms, while they shape applications that are daily used on a worldwide scale, like search engines on the web, translation machines, advertising profiling, facial recognition etc.  
 
In the framework of Saison Numérique the Maison du Livre opens its space for Algolit during three days in a row. The group presents lectures, workshops and a small exhibition about the narrative perspective of neural networks. Neural networks are selflearning algorithms based on statistics. They often function as opaque 'blackbox' algorithms, while they shape applications that are daily used on a worldwide scale, like search engines on the web, translation machines, advertising profiling, facial recognition etc.  
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Because neural networks are so present, the members of Algolit felt the need to distillate reading and writing experiments from it. By executing parts of the neural network process in a literary context, they become more legible. It is way to experience a few moments that are usually hidden in the making of the model, and that co-design contemporary stories in the way they influence the organisation of information.  
 
Because neural networks are so present, the members of Algolit felt the need to distillate reading and writing experiments from it. By executing parts of the neural network process in a literary context, they become more legible. It is way to experience a few moments that are usually hidden in the making of the model, and that co-design contemporary stories in the way they influence the organisation of information.  
  

Revision as of 10:49, 23 September 2017

Next Meetings

'Algoliterary Encounter 9-12 November 2017'

In the framework of Saison Numérique the Maison du Livre opens its space for Algolit during three days in a row. The group presents lectures, workshops and a small exhibition about the narrative perspective of neural networks. Neural networks are selflearning algorithms based on statistics. They often function as opaque 'blackbox' algorithms, while they shape applications that are daily used on a worldwide scale, like search engines on the web, translation machines, advertising profiling, facial recognition etc.

Because neural networks are so present, the members of Algolit felt the need to distillate reading and writing experiments from it. By executing parts of the neural network process in a literary context, they become more legible. It is way to experience a few moments that are usually hidden in the making of the model, and that co-design contemporary stories in the way they influence the organisation of information.

  • Thursday 9 November 18h30: Opening exhibition with guided tour in Maison du Livre, rue de Rome 24-28, 1060 Brussels
  • Friday 10 November 18h30/20h: Guided tour/Two lectures and discussion in Maison du Livre, rue de Rome 24-28, 1060 Brussels (more info soon)
  • Saturday 11 November 13-19h: Workshop on Computer Vision with Nicolas Malevé in Maison du Livre, rue de Rome 24-28, 1060 Brussels. Please register by sending a mail to an@constantvzw.org.
  • Sunday 12 November 13-19h: Workshop on Algoliterary perspectives on Neural Networks with Algolit in Maison du Livre, rue de Rome 24-28, 1060 Brussels. Please register by sending a mail to an@constantvzw.org.

Past Meetings

  • Friday 16 December - neural networks II Second meeting to dive further into neural networks. We took notes here.
  • Friday 25 November 10-18h in Constant WTC, Tower1, 25th floor, Av Roi Albert 28-30 / Koning Albertlaan 28-30 (behind Gare du Nord): a first dive in neural networks and how we can get their process legible, visible, understandable. A.O. we'll build a neural-net dedicated computer / XMPP bots): http://pad.constantvzw.org/public_pad/neural_networks_1
  • Thursday 3 November 2016: we will start from Uncertainty Detected, a supervised machine learning script (using Python and Scikit Learn) that predicts uncertain sentences in scientific papers. By looking at the code and visualisations of the data, we will propose some concrete parts of the process for literary, textual and design applications. Hosts: Gijs & An

http://pad.constantvzw.org/p/algolit_supervisedML

  • Friday 7th October 2016: set agenda & topics for 2016/7, Frankenstein Botparade: IRC bots using natural language techniques & publication (Piero, An), I could have written that: algorithmic writing/reading machine based on Pattern sentiment/opinion analysis (Manetta): http://pad.constantvzw.org/p/algolit_reboot

http://pad.constantvzw.org/p/machine_learning

  • Saturday 19th March 2016 10-18h : Detecting syntactic style with Freeling.

How the algorithms developed for DNA-analysis can be used for essential syntactical novel writing? Host: Olivier More info: http://pad.constantvzw.org/p/playing_with_style_and_freeling

  • Tuesday 23rd February 2016 10-18h : Writing with Film

Build libraries of 'wordclips' / dictionaries based on fragments of movies. Rewrap content / text into movie vocabularies. Replay one movie in clips of the other. Host: Gijs http://pad.constantvzw.org/p/writing_with_film

Topics for 2016-2017

Here you find a list of topics we're interested to work on: algolit encounters

Topics for 2015-2016

Here you find a list of topics we're interested to work on: algolit encounters

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