“This is a cycle. The only difference with what we have been seeing throughout human history is that now, machines are coming after people with college degrees, political influence, and Twitter accounts. (…) Let’s look at this historical process. Machines that replace manual labor, they have allowed us to focus on developing our minds. More […]Read More Machines are coming after people with college degrees.
The production and use of technologies as an extension of the human condition has helped us not only to dominate our natural environment, but to know ourselves better as a biological species. Therefore research in Artificial Intelligence is a fertile field to generate new forms of scientific knowledge, as well as for the production of […]Read More Artificial Intelligence: Science or Alchemy?
“The computer takes up where psychoanalysis left off. It takes the idea of a decentered self and makes it more concrete by modeling mind as a multi- processing machine. Where the Freudian vision seemed speculative to some, literary to others, the computational model arrives with the authoritative voice of science behind it—and with the prospect […]Read More The computer takes up where psychoanalysis left off.
Last year when I resigned my stable job to focus in finishing my PhD about Artificial Intelligence I was looked with an staring glance by my coworkers who thought I was trying to accomplish something impossible… It’s no wonder that some people can’t imagine that synthetic creative thinking might be achieved with the current developments in Cognitive Computing. As […]Read More My PhD in Artificial Intelligence is on the right track!
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.