Serendipity

The AISB held a conference on Serendipity at Strawberry Hill House in May. (Owing to pressure of work with The Portrait Machine, I have only just got round to blogging this.) Horace Walpole, who built the house and filled it with art objects, also introduced the term serendipity into the language. I went largely to…

Criticisms of generative and database art.

A very interesting talk at EVA 2017 from Jon McCormack. He discussed three criticisms of generative art: 1. ‘algorithmic genericism’: ‘works made with similar generative procedures – even by different artists – possess a certain generic and repetitive character.’ He used the Voronoi algorithm as an example of a technique which is becoming too familiar.…

Free data visualisation tools

Several excellent free data handling tools have come my way recently, at various presentations and conferences. This is an attempt at a short summary. There’s a lot going on in this field. Two recent sessions/ workshops on Processing, one by Nicola and Tim of Genetic Moo, the other by┬áRich Cochrane and Andrew McGettigan. Then a…

Classifier accuracy

Here is a useful summary of classifier results for the main data classification tasks: – MNIST: “a large database of handwritten digits that is commonly used for training various image processing systems”. – CIFAR 10 and CIFAR 100 are The CIFAR-10 dataset has “60000 32×32 colour images in 10 classes, with 6000 images per class.…

Criminal facial types

A paper on arxiv called “Automated Inference on Criminality using Face images” by Xiaolin Wu and Xi Zhang, argues that: ” Via supervised machine learning, we build four classifiers (logistic regression, KNN, SVM, CNN) using facial images of 1856 real persons controlled for race, gender, age and facial expressions, nearly half of whom were convicted…