I've got two short articles in MATERIALITY: FAKE, now online at Pinknantucket Press:

An uncanny valley in reverse is a brief illustrated attempt to explain the computational underpinning of deepdreams for a lay audience.

Vermiculation, on the use of fake rustic textures in classical architecture and its colonial domestic descendants …

I made a subdomain for my Twitter bots, with a page of info and credits about each of them: bots.mikelynch.org

I made a new bot, @GLOSSATORY, by training a recurrent neural network on a very long list of word definitions from WordNet. The results are quite weird and entertaining if you like this sort of thing:

Tweets by @glossatory

MWHALE IN THE WHALE AND BERED OF THE WHALE IN THE WHALE.

"The whale seemed the ship had been the side of the stranger of the ship would be seen the artain in the sea, and the whale was the ship was a sudden and sounding and head of the …

I've updated the algorithm behind neuralgae. It's still the same basic principle: render a deepdraw image based on some random categories, feed the results back through the classifier, and then repeat with the new categories. But the draw part of the cycle now uses the weights from the classification stage …

I've made my first Twitter bot. It posts a new image and accompanying text from my Neuralgae NaNoGenMo project, six times a day, modified slightly so that it fits within the character limit. One of my goals with Neuralgae was to generate something which was in some sense readable, and …

For NaNoGenMo (national novel generation month) 2015, I wrote some Python which generates a series of loosely-coupled deepdream images, and adds eight-line surrealist 'poetry' to them based on the image categories used to draw them.

The full text is here: Neuralgae.

The source code and a fairly detailed description of …

Here are visualisations of the 205 scene categories in the MIT Places Database using a variant of the same technique used to generate the thousand faces of Caffenet.

These are rendered on random grayscale noise rather than a photograph, so they're purely a manifestation of what the neural net has …

Here are the thousand image categories in the ImageNet Challenge data visualisation context, rendered onto a webcam photo of me using the deepdraw technique.

This is the set of image classifications which the standard Deepdreams imagery is based on: as more than one hundred of the categories are dog breeds …

This is the first in a series of posts about the way we think about programming, the influence these ideas have on how we write code and what languages we choose, and why I like the functional programming paradigm in general and Haskell in particular.

Consumer notification: I've worked as …