Computational aesthetics is a subfield of Artificial Intelligence, concerned with the computational assessment of beauty in domains of human creative expression which bridges science and art. As an emerging and new interdisciplinary field, the seed of today’s Computational Aesthetics can be traced as far back as 1928, when American mathematician George David Birkhoff proposed the […]Read More Computational Aesthetics: the beholder needs eyes?
Interaction design -often abbreviated as IxD- is the practice of designing interactive digital products, environments, systems, and services in order to facilitate interactions between users and their artifacts. First of all let’s make a little distinction between some terms that may seem similar at first glance: UX, UI, IA and IxD… User Experience Design (UX) is […]Read More Interacting with artifacts through design.
“In my own version of the idea of ‘what art wants,’ the end and fulfillment of the history of art is the philosophical understanding of what art is, an understanding that is achieved in the way that understanding in each of our lives is achieved, namely, from the mistakes we make, the false paths we […]Read More Art is Dead!?!
Cities and urban spaces of our western metropolitan areas are fertile grounds for street skating unconsciously created by the excesses of industrialization and corporate capitalism. This new kind of dystopia turned in the 70s into a set of ideal playgrounds for a group of kids riding a piece of wood with four wheels. Following what feminist cinematographer […]Read More Hacking Public Space.
The question of to what degree algorithms are tools, as opposed to active collaborators, is a very interesting debate in which the artists can contribute interesting reflections. Fanboys of Frankfurt School of critical theory may argue -in a clear romantic stance- that modern means of artistic production and reproduction like photography and video destroyed the aesthetic, […]Read More Autonomous Artificial Artists.
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.
Computational Creativity is a new academic field devoted to the study and modeling of computational processes that achieve creative tasks. Its main duties are the study of computational models of (human) creativity, designing artificially creative systems, and also to deploy computational systems for supporting creativity. Understanding brain processes behind creativity and modeling them using computational means […]Read More The machine will have the idea…