Some time ago I wrote in this blog how almost a decade ago I presented my M.Phil thesis at the Higher Technical School of Architecture of San Sebastian about the relationship between skateboarding in the streets and urban development. At that time little academic literature about this research field could be found, but now thankfully […]Read More The city as a canvas.
Although some people see AI as a simply tool that artists can use to augment and enhance their pieces, some other as me consider algorithms as a partner during the creative process. Artisans may have thought that there was no avenue for machines to take over their ethereal reins since something soulless and emotionless do […]Read More Artificial Intelligence: a revolution in the art world.
“Natural science is concerned with the necessary, with how things are, whereas design is concerned with the contingent, with how things might be”, Herbert Simmon (1969). The field of User Experience Design (UXD) is a conceptual discipline focused on the interaction between human users, artifacts, and their contextual environments. So the main focus of this […]Read More Designing human cognitive experiences.
The practice of skateboarding helps rethink the environment of the user through the opportunities found in the urban context, which in consequence helps redefine his/her life. As philosopher Daniel Dennet writes in his last book “From bacteria to Bach and back” our brains are control centers for dealing with the the affordances (opportunities and risks) of our […]Read More Embodied Cognition through Skateboarding.
Edmond de Belamy is a 2018 painting created using a type of Artificial Intelligence algorithms called Generative Adversarial Networks. The work which is part of a series of images titled La Famille de Belamy -made by french collective Obvious– was expected to be sold for $7,000-$10,000 at Christie’s auction house in New York, however the painting […]Read More Who is Edmond de Bellamy?
“Why is it so much harder to appreciate that thinking is an aspect of the brain, that also could be described, in principle, in terms of the self-same physical laws? The answer is that minds do not seem physical to us because we know so little of the processes inside brains. (…) A related reason […]Read More Minds are simply what brains do.
Recently I wrote about Generative Adversarial Networks, a revolutionary class of AI algorithms used in unsupervised Machine Learning, and their importat relation with the research in Computational Creativity. This type of framework for the design of Artificial Intelligences was invented by Ian Goodfellow in 2014. The system consist of one network that generates new data after learning from a training […]Read More Machine Learning as Art Practice.