Studio A N F

Computer Visions 2
After more decades of trying to construct an apparatus that can think, we may be finally witnessing the fruits of those efforts: machines that know. That is to say, not only machines that can measure and look up information, but ones that seem to have a qualitative understanding of the world. A neural network trained on faces does not only know what a human face looks like, it has a sense of what a face is. Although the algorithms that produce such para-neuronal formations are relatively simple, we do not fully understand how they work. A variety of research labs have also been successfully training such nets on functional magnetic resonance imaging (fMRI) scans of living brains, enabling them to effectively extract images, concepts, thoughts from a person’s mind. This is where the inflection likely happens, as a double one: a technology whose workings are not well understood, qualitatively analyzing an equally unclear natural formation with a degree of success. Andreas N. Fischer’s work Computer Visions II seems to be waiting just beyond this cusp, where two kinds of knowing beings meet in a psychotherapeutic session of sorts[…]