Generative Art. An Interview with Paul Prudence (for Neural 40) Yet another blog "paste" to provide some semblance of life around here.
Paul Prudence recently interviewed me for Neural 40: The Generative Unexpected, ranging over generative art (utopian and otherwise), cross modal AV and data visualisation among other things. Thanks to Paul for some thoughtful questions. PP: It might be argued that some of the main themes infused in generative art are those to do with a kind of techno-utopianism and futurism. Have you come across any generative artworks that deal with dystopian themes or have a sense of anachronism about them? More importantly are the technologies and software used in creating these artworks inherently defining their aesthetics? It's true that there's a flavour of the techno-utopian to a lot of digital generative art, especially in the online digital scene. On the other hand the flipside of techno-utopia is real richness and generative excess - the ability of formal systems to reveal terrains of sublime complexity. Reaction diffusion 3d - Google Search. Nervous System – explorations in generative design and natural phenomena » Jesse Louis-Rosenberg.
Kinematics is a system for 4D printing that creates complex, foldable forms composed of articulated modules.
The system provides a way to turn any three-dimensional shape into a flexible structure […] Read Article → Most of our projects start with a natural inspiration, but Kinematics emerged from a very different perspective. This project started with a technical problem: how can we create large objects […] Read Article → In order to generate the price of a custom design on the fly, we need to calculate the volume of the piece for 3d printing. Read Article → Recently, I came across a neat data structure called a pairing heap. Read Article → We’ve just released a new Processing 2.0 library for exporting OBJ and X3D mesh files. Read Article → The next iteration of the surface meshing algorithm from the previous post is surface remeshing. Read Article → reset A common problem we come across is needing to make meshes of complex surfaces.
Reaction-Diffusion Systems. Reaction-diffusion systems model the spatial dynamics of chemicals.
An interesting early application was Alan Turing’s theory of Morphogenesis (Turing’s 1951 paper). Here, he suggested, that the pattern formation in animal skin could be explained by a two component reaction-diffusion system. Reaction-diffusion systems are interesting, because they display a wide range of self-organizing patterns, and they have been used by several digital artists, both for 2D pattern generation and 3D structure generation. The reaction-diffusion model is a great example of how complex large-scale structure may emerge from simple, local rules. Modelling Reaction-Diffusion on a GPU As the name suggests, these systems have two driving components: diffusion, which tends to spread out or smoothen concentrations, and reactions, which describe how chemical species may transform into each other.
For each chemical species, it is possible to describe the evolution using a differential equation on the form: Nervous System – explorations in generative design and natural phenomena » reaction diffusion. Nervous System has released Reaction, their first collection of housewares.
The collection includes porcelain cups and plates and matching 3D printed lamps. The pieces are intricately embossed with intertwining patterns […] Read Article → As part of a new experimental project we are working on we had to create a reaction-diffusion system that can run on a constantly changing surface. Here are two examples […] Read Article → Our new reaction collection includes 3dprinted pendant lamps created by means of Selective Laser Sintering.