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Workshop: Anatomies of Intelligence

Following a lecture-performance the previous day, Joana Chicau and Jonathan Reus will share their approach in a public workshop where we will actively explore terminologies and techniques for an “anatomical” critique of computational learning, classifying and prediction processes

Info about event

Time

Saturday 14 December 2019,  at 09:30 - 14:00

Workshop: Anatomies of Intelligence

Saturday 14 December 2019

09.30 – 14.00 including Breaks and Lunch)

Location – Helsingforsgade 15, building 5342, room 333

 

Following a lecture-performance the previous day, Joana Chicau and Jonathan Reus will share their approach in a public workshop where we will actively explore terminologies and techniques for an “anatomical” critique of computational learning, classifying and prediction processes.

In our session we will focus specifically on the unsupervised clustering algorithm K-means and collectively deconstruct its underlying assumptions of (Euclidean) space and distance.

Core to the workshop will be a consideration of data classification and clustering. What different knowledge ontologies emerge through other geometries and directionalities based in bodily experiences and physicalities? What is a unit of anatomical space and how can that inform embodied approaches to machine learning?

Participants are invited to bring their own laptops and data sets of interest; no previous machine learning / programming knowledge required.

Website:https://anatomiesofintelligence.github.io/

This is a Free workshop but to participate please register before 1st December 2019. There is a limit of 15 spaces available. All are invited but in case of high registration numbers priority will be given to faculty members and PhD students at Aarhus University.

 

Please Register here:

https://www.tilmeld.dk/wsanatomiesofintelligence

 

This workshop is organised by NNCluster member Magda Tyżlik-Carver (magdatc@cc.au.dk) with Pablo Velasco (pvelasco@cc.au.dk) and Winnie Soon (wsoon@cc.au.dk) with support from Humans and IT research programme (HIT), Digital Aesthetics Research Centre (DARC), Affects, Interfaces, Events Research Centre, Digital Design and Information Studies Dept, and CAVI at Aarhus University.