
Netnative literature
About automatic writing and autocomplete: the poetics of technology

Algolit maakt kennis met Grapa: keukentafel presentaties
Een ontmoeting tussen residenten van Variable: Olivier Heinry en An Mertens, leden van de werkgroep rond algoritme en literatuur Algolit, en Olatz Otalora en Daniela Brill, leden van het (…)
Algolit meets Grapa: kitchen table presentation
A meeting between residents: Olivier Heinry and An Mertens, members of the working group around algorithm and literature Algolit and Olatz Otalora and Daniela Brill, members of the collective (…)
Algolit rencontre Grapa: présentations autour de la table de cuisine
Une rencontre entre les résidents de Variable: Olivier Heinry et An Mertens, membresdu groupe de travail autour de l’algoritme et la littérature Algolit, et Olatz Otalora et Daniela Brill, membres (…)
Algolit

Algoliterary Lectures
In the framework of Algoliterary Encounters, we will be hosting two lectures on Friday 10 November. Generative Models and the Digital Humanities: Towards Synthetic Literature, by Mike Kestemont (…)
Algoliterary Podcasts - change of program & place!
CHANGE OF PROGRAM & PLACE:
Due to planning issues the recording session of the podcasts at Radio Panik is postponed to Friday 1-3. We will spend some time during this session on:
– a case (…)
Algoliterary plans
In the morning we brainstorm on what & when for 2019/2020. In the afternoon we will move to De Pianofabriek.
Algolit is a workgroup around FLOSS literature and code, they organise regular (…)
CIAO/CU 2de

CIAO/CU 2e

CIAO/CU 2nd

CIAO/CU @ PLACE@SPACE

CIAO/CU @ PLACE@SPACE

CIAO/CU @ PLACE@SPACE

Ecrire à l’ère d’Internet - Schrijvers op het net
Constant member An Mertens will present a series of algoliterary works for the audience of Passaporta. Writer Diane Meur will present how she uses the internet for her work. Author Annelies (…)
Ecrire avec de l’i-courage

Linear Regression as a Storyteller
Linear Regression is one of the most well known and well understood algorithms in statistics and machine learning. It has been around for almost 200 years. It is an attractive model because the (…)
Linear Regression
Linear Regression is one of the most well known and well understood algorithms in statistics and machine learning. It has been around for almost 200 years. It is an attractive model because the (…)
[Lire+écrire]numérique
An Mertens, membre de Constant, dessinera une histoire subjective à partir de ses expériences en littérature numérique pour un public de bibliothécaires et professeurs d’écriture créative à (…)
[Lire+écrire]numérique
Constantlid An Mertens schetst een subjectieve geschiedenis over i-literatuur van de hand van haar ervaringen, voor een publiek van bibliothecarissen en lesgevers in creatief schrijven. Na de (…)
[Lire+écrire]numérique
Constant member An Mertens is invited to draw a subjective history of i-literature for an audience of librarians and teachers of creative writing in Nantes. The conference will be followed by a (…)
Literary Creation with Python
Workshop Oulipo in EADSE, St Etienne, France
Literary creation with Python
An Mertens will give a lecture and host a workshop at l’Ecole Supérieure d’Arts et Design de St Etienne on the use of the Python programming language for literary creation.
A line of code is (…)
Locating the text
The Death of the Authors, 1941 edition fera partie de la galerie virtuelle au sein de l’exposition "Les littératures numériques d’hier à demain", organisée par l’Electronic Literature Organisation (…)
Locating the text
The Death of the Authors, 1941 edition will be part of the virtual gallery in the exhibition "Les littératures numériques d’hier à demain", organised by the Electronic Literature Organisation in (…)
Machine Learning tools for Literary Creation
Gijs de Heij and An Mertens, two members of the Algolit team organise a workshop in Mundaneum in Mons from 8 to 12 October 2018 (10-18h), in collaboration with the teachers of Digital Arts ARTS². (…)
Naive Bayes as storyteller

Naïve Bayes
In machine learning Naive Bayes is a simple probabilistic classifier that is widely applied for spam filtering and sentiment analysis. During this session we first look at its history, its (…)
Narrative perspective of Neural Networks #1
Algolit organises a first dive in neural networks to see how their process can be made legible, visible, understandable. Amongst others, we’ll build a neural-net dedicated computer / XMPP bots. (…)
Narrative perspective of Neural Networks #2
Algolit organises a second dive in neural networks to see how their process can be made legible, visible, understandable. Amongst others, we will put a neural-net dedicated computer to work! (…)
Narrative perspective of Neural Networks #3
Algolit continues to explore neural networks to see how their process can be made legible, visible, understandable. Participants choose how to get into the topic, through reading, tutorials, code (…)
Narrative perspective of Neural Networks #4
Algolit continues to explore neural networks to see how their process can be made legible, visible, understandable. We will follow up on the Deep Learning and Natural Language Processing course (…)
Narrative perspective of Neural Networks #5
Algolit continues to explore neural networks to see how their process can be made legible, visible, understandable. We will follow up on the Deep Learning and Natural Language Processing course (…)
Narrative perspective of Neural Networks #6
Algolit explores neural networks to see how their process can be made legible, visible, understandable. We follow up on the Deep Learning and Natural Language Processing course from Stanford (…)
Narrative perspective of Neural Networks #7
Algolit explores neural networks to see how their process can be made legible, visible, understandable. We follow up on the Deep Learning and Natural Language Processing course from Stanford (…)