User:Alexander Roidl/notes: Difference between revisions

From XPUB & Lens-Based wiki
No edit summary
No edit summary
Line 43: Line 43:


Not part of the dataset
Not part of the dataset
what kind of images?
generative images

Revision as of 11:36, 8 November 2018

visual culture visual generation images

machine learning new learning algorithms

what to learn from machine learning and its influence on visual culture


Currently we encounter those strange new images, that look like morphing or artworks that are being generated by machine learning algorithms, without a deeper understanding of the underlying technology. So machine learning became a hyped tool also for artists to do something "interesting". But besides creating meaningless images by just throwing new datasets at those new algorithms, what can be learned from them? Especially, what has lasting potential to influence visual culture? From generating random art to interventions in algorithms.


WHY? why why?

machine learning influences visual culture drop shadow did as well - so what is the point

machine learning changes how we perceive the world.


The probability of an image

Generating images with statistical math.

Machine learning comes down to statistical calculations. So why is it so different from other algorithms? It makes decisions > hard to understand

Changes aesthetics > influence on image culture changes how we see

what is the relevance of the work?

Find a concrete issue

generation of photo-realistic images, image detection, touching surveillance and photography.



Not part of the dataset

what kind of images? generative images