Algoliterary Encounter

By Manetta

Algoliterary Encounters ... / Algoliterair Trefpunt ... / Rencontres Algolittéraires ...

A guided tour during Algoliterary Encounters in Maison du Livre

... was a public multi-day event, in which different algoliterary experiments have been shared with an audience in the form of two lectures, two workshops, and a small exhibition combined with guided tours. The event took place between 9 and 12 November 2017 in Maison du Livre in Brussels. More information about the event and projects can be found on algolit.net

The event was a product of a year of monthly sessions with the workgroup Algolit. Algolit is a workgroup around algorithms and literature …

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Charnn Proclaimed

By Gijs

During the Algoliterary Encounters we presented the ChaRNN text generator, an interface to three models trained on tiny-shakespeare, the Enron email dataset and the collected works of Jules Verne (in French) using the torch-rnn scripts from Justin Johnson an improved version of char-rnn by Andrej Karpathy. Through the interface visitors can use these models to generate text at various checkpoints in the training, revealing the improving quality of the generated text but also, especially in a mothertongue, a surprising poetic inventiveness.

At HS63 the interface was extended with a Dutch model trained on the works of Felix Timmermans and presented …

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Linear Regression

By An

General The forest lends itself as a metaphor for talking about big data. We are interested in the forest because of the amount of trees there are. We enjoy their view, their rustling, the multitude of trunks, fruits, plants. Apart from the forest rangers, few visitors have knowledge of individual trees in the forest, unless they fall outside 'normality'. Particularly old, thick, large trees, rare specimens can sometimes catch our attention. But the large part of the trees is only interesting for us as a group.

A linear regression walk with NGZ in Zoniënwoud, Overijse, June 2017

In the same …

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Collective scales of knowledge

By Manetta

Another extract of the rwm.macba.cat interview with Matthew Fuller.

"Friedrich Kittler proposes that the early 70s was the last time any single person knew what was going on in a particular computer, now the complexity of each semi conductor, each circuit is such that it has to be jointly held knowledge or different teams of specialist within a company would be able to describe this.

That is interesting because there is a kind of threshold of knowledge that has been passed. It's often said that Leibniz was the last real polymath, who was able to operate across disciplines …

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Pandora's boxes

By Gijs

Our research can also be described as an excersise in dealing with the uncertainty within machine learning. While the science of machine learning reveals itself through scientific papers, the practice of machine learning seems to consist of an equal amount of gut-feeling and practical experience. We imagine the data-scientist using his intimacy with the data and gut-feeling to design his net. Taming the quirks of the net in the edge cases while training it.

We wonder untill where to enter this beast? Can we ever fully understand its inner workings or psyche?

Reading a scientific paper sprinkled with jargon feels …

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Understanding the black box

By Manetta

Web radio rwm.macba.cat interviewed Matthew Fuller published on the 11th of August 2017. In this extract of the interview, Fuller speaks about different ways to think about the idea of the 'black box'.

Link to the interview (starts at 6m10s): rwm.macba.cat/en/extra/matthew-fuller-deleted/capsula

"The black box in contemporary science and technology studies is a term that is used to describe an entity within which we cannot know what is happening. We have to accept [it] as a stable, standard object that is internally unknowable, but externally we can inspect its functions.

The black box …

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Communitity detection in the Stedelijk Museum archive

By Manetta

The project SMTP: Stedelijk Museum Text Mining Project was a study to the use of machine learning techniques in archival practises. The project is a collaboration between the Stedelijk Museum, the CREATE group of the University of Amsterdam, and Maastricht University.

The phrase community detection is an interesting way to look at the creations of common vocabulary over time.

Links

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poetically observing

By Manetta

While considering possible ways to position the book, the following angles crossed our path:

[en] poetic / contemplative / observative / artistic / functional / speculative / specular / signaling / meditating / reflecting / activating / learning / studying / a meeting book

[nl] poetisch / beschouwend / observerend / artistiek / functioneel / bespiegelend / bekijkend / signalerend / mediterend / reflecterend / activerend / loerend / bestuderend / een ontmoetend boek

een artistiek beschouwend boek / an artistic contemplative book
een artistiek bespiegelend boek / an artistic specular book
een poëtisch beschouwend boek / a poetic contemplative book
een meervoudig beschouwend boek / a multi-sided contemplative book
een meervoudig observerend boek / a multi-sided observational book
een bespiegelend observerend boek / a reflective observational book
een bespiegelend reflecterend boek …

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A conversation around algorithms

By Gijs & Manetta

We presented our project during a conversation around algorithms.

The Stimuleringsfonds invited a group of designers and artists working with algorithms in their projects, for an afternoon conversation.

The presentation we prepared for this occasion can be visited here: http://write.osp.kitchen/s/algorithmic_uncertainty.md.

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Algorithmic Uncertainty

By An & Gijs & Manetta

After having worked on the topic of machine learning in various individual and collective projects in the last two years, we (An, Gijs & Manetta) are very happy to announce the start of a new trajectory that lives under the name Algorithmic Uncertainty.

Machine learning is a technique of recognizing patterns, to develop knowledge on the basis of data. It's a way to automate the process of transforming data into information. The belief that this is possible, seems to be the basis of the technology.

We developed an interest to understand how feelings of uncertainty are embedded within a machine learning …

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