NEWS: upcoming #publications #exhibitions #presentations

@VCFMW11 - Vintage Computer Festival Midwest 11, September 10-11, 2016, Elk Grove Village, IL http://vcfmw.org/
@VCFMW11 – Vintage Computer Festival Midwest 11, September 10-11, 2016, Elk Grove Village, IL http://vcfmw.org/

Call for Papers: Video Game Art Reader, Issue 1: Please submit papers and proposals! For more information about the Video Game Art Gallery (VGA Gallery) and the Video Game Art Reader (VGAR), go to http://www.videogameartgallery.com/.

“Just Press ‘PLAY’: ‘Real-time Computation’ (RTC) and ‘Simultaneity’ in Digital Art,” part of the panel “Revisiting Time in Contemporary Art” at the 2017 College Art Association Conference, New York, February 15th-18th

Ongoing research @http://fetalcircuit.com/:

prostheticknowledge:Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space Neural Network research from Evolving Artificial Intelligence Lab produces interesting generation of subjects, especially as they appear to morph from one to another:Generating high-resolution, photo-realistic images has been a long-standing goal in machine learning. Recently, Nguyen et al. (2016) showed one interesting way to synthesize novel images by performing gradient ascent in the latent space of a generator network to maximize the activations of one or multiple neurons in a separate classifier network. In this paper we extend this method by introducing an additional prior on the latent code, improving both sample quality and sample diversity, leading to a state-of-the-art generative model that produces high quality images at higher resolutions (227x227) than previous generative models, and does so for all 1000 ImageNet categories. More Here#instakaleidoscopic no.18 (quilting) (at West Side, Chicago)obscurevideogames:  eggplant - Zettai Zetsumei Dangerous Jii-san DS (Kids Station - DS - 2007)
obscurevideogames:  eggplant - Zettai Zetsumei Dangerous Jii-san DS (Kids Station - DS - 2007)prostheticknowledge:Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space Neural Network research from Evolving Artificial Intelligence Lab produces interesting generation of subjects, especially as they appear to morph from one to another:Generating high-resolution, photo-realistic images has been a long-standing goal in machine learning. Recently, Nguyen et al. (2016) showed one interesting way to synthesize novel images by performing gradient ascent in the latent space of a generator network to maximize the activations of one or multiple neurons in a separate classifier network. In this paper we extend this method by introducing an additional prior on the latent code, improving both sample quality and sample diversity, leading to a state-of-the-art generative model that produces high quality images at higher resolutions (227x227) than previous generative models, and does so for all 1000 ImageNet categories. More Herefyeahgameglitches:Graphics card giving up on Civ5