Commit 9421ccce authored by gijs's avatar gijs

More catalog

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</p><p><b>Selflearning algorithms</b> are based on <b>algebra</b> and <b>statistics</b>. 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 machine learning models are so present, the members of Algolit felt the need to retell them in different ways, distillating <b>reading and writing experiments</b> from it. By executing parts of their construction 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.
</p><p>The exhibition of Algoliterary Encounter is composed of two parts. <b>Algoliterary works</b> are creations by members of Algolit that have been showed and performed in different places before. <b>Algoliterary Explorations</b> is a collection of experiments that show how the group has been discovering machine learning algorithms. It reads as a methodology of how to understand the code of existing models, running scripts and play with their inputs and outputs, dissecting the process of machine learning models by exploring datasets, looking at methods to transform words into numbers, creating different views on the data and finally changing the scripts to our needs, customizing our tools.
</p><p>As an addendum to the exhibition you will find the <b>Sources</b>, a bibliography of the books and papers that kept us company and a link to the repository where you can download all scripts and materials.
</p><p><small>Organised by: <b>Manetta Berends, Cristina Cochior, Gijs de Heij, Hans Lammerant, An Mertens</b></small>, <small>Translation: <b>Emma Kraak</b></small>, <small>With the support of: <b>Constant vzw/asbl, La Maison du Livre, Saison Numérique</b></small>, <small><b>Algolit, Brussels, October 2017.</b></small>, <small><b>Copyleft: This is a free work, you can copy, distribute, and modify it under the terms of the Free Art License <a class="external free" href="http://artlibre.org/licence/lal/en/" rel="nofollow">http://artlibre.org/licence/lal/en/</a></b></small></p></section><section class="lemma program"><section class="asciiheaderwrapper lemmaheader"><pre class="ascii">%
</p><p><small>Organised by: <b>Manetta Berends, Cristina Cochior, Gijs de Heij, Hans Lammerant, An Mertens</b></small>, <small>Translation: <b>Emma Kraak</b></small>, <small>With the support of: <b>Constant vzw/asbl, Vlaamse Gemeenschapscommissie, La Maison du Livre, Saison Numérique</b></small>, <small><b>Algolit, Brussels, October 2017.</b></small>, <small><b>Copyleft: This is a free work, you can copy, distribute, and modify it under the terms of the Free Art License <a class="external free" href="http://artlibre.org/licence/lal/en/" rel="nofollow">http://artlibre.org/licence/lal/en/</a></b></small></p></section><section class="lemma program"><section class="asciiheaderwrapper lemmaheader"><pre class="ascii">%
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% Program</pre></section><h2 id="thursday-9-november"><span class="mw-headline" id="Thursday_9_November">Thursday 9 November</span></h2><ul><li> 18h30: opening exhibition</li>
<li> 19h &amp; 20h30: guided tour of the exhibition</li></ul><h2 id="friday-10-november-lectures"><span class="mw-headline" id="Friday_10_November_:_Lectures">Friday 10 November : Lectures</span></h2><h3 id="mike-kestemont-ua-on-generative-models-and-the-digital-humanities-towards-synthetic-literature"><span class="mw-headline" id="Mike_Kestemont_.28UA.29_on_Generative_Models_and_the_Digital_Humanities:_Towards_Synthetic_Literature">Mike Kestemont (UA) on Generative Models and the Digital Humanities: Towards Synthetic Literature</span></h3><p><a class="external text" href="http://www.mike-kestemont.org/" rel="nofollow">Mike Kestemont</a> is assistant professor in the department of literature at the University of Antwerp in Belgium. He is a researcher in computational text analysis, in particular for historic texts. Authorship attribution is one of his main areas of expertise. He designs computational algorithms which can automatically identify the authors of anonymous texts through the quantitative analysis of individual writing styles.
......@@ -954,11 +954,11 @@ A language model recounts its story in a metaphorical way. You are guided throug
<li>Nice introduction using this tool: <a class="external free" href="https://cloud.google.com/blog/big-data/2016/07/understanding-neural-networks-with-tensorflow-playground" rel="nofollow">https://cloud.google.com/blog/big-data/2016/07/understanding-neural-networks-with-tensorflow-playground</a></li></ul></section></section>
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