Anatomies of Intelligence

Following from a shared interest in livecoding and real-time algorithmic performance, Joana Chicau and Jonathan Reus begin a research project into techniques for in-situ dissections of machine learning algorithms. We seek to better understand the habitual and fixed objects of machine learning as well as their terminologies, and provide counter-techniques for conditions of emergence and movement. In our processual approach, we aim to develop an online repository of terminology and techniques for a critical examination of the “anatomy” of learning and prediction processes, data corpus and models of machine learning algorithms. And explore, through performance practice, how such a toolkit can confront the idealized bodies of artificial intelligence.




Boerhaave | COGWEB | Chinese | LSTM | Leiden | PGM | RNN | Ruysch | actors | aesthesis | agency | algorithm | analysis | anatomical | anatomy | androgynous | architecture | archive | artificialia | axis | black-box | body | botanical | brain | categories | categorization | channel | character recognition | chinese | classification | clustering | cnn | codes | cognition | collecting | collection | collections | colonialism | commodification | concept | conceptual-clustering | convolutional neural network | cost | counting | cut | cuts | cutting | datasets | demonstration | diagram | dimensionality | disgust | dissection | distance | domestication | elegance | epistemology | error | euclidean | evaluation | eye | figures | finger | forecasting | forensics | frame | freakish | geometry | gesture | gestures | gradient descent | graph | graphs | grouping | hacking | hand | hand writing | hands | hands-on | handwriting | hardware | history | human | human body | imagination | imperfect | inscription | instruments | joint | kmeans | knowledge | labeling | landmark | learning | location | machine learning | machines | materiality | meaning | measurement | memory | mnist | model | models | monsters | muscles | mystical | mythological | naturalia | nerves | nervous system | network | networks | neural networks | neural-anatomy | neuron | nonlinearity | observation | offline | online | ontologies | ontology | ontology-building | optimization | orientation | orthogonality | parallel | pca | perception | perceptron | perfection | performance | planes | poetic | position | prediction | preparation | preparations | projection | proportion | proportions | psychology | python | races | representation | representations | rhetoric | rnn | segments | selection | sensory experience | sensory perception | similarity | skeleton | skin | skull | skulls | space | sparseness | spectacle | spectators | speech | standard | statistic-ontology | statistical | statistical-ontology | svm | symbols | tacit | taxonomy | theatre | time-series | timeseries | tools | topological | training | treatise | trial | truth | type | typography | unsupervised | vision | visualization | wellcome | word2vec | writing | zodiac |


Dataset Catalog

this project is produced as a co-production with V2_ Lab for the Unstable Media

Hosted on GitHub Pages