Permugram - permutation poetry DeepDream - a code example for visualizing Neural Networks Posted by Alexander Mordvintsev, Software Engineer, Christopher Olah, Software Engineering Intern and Mike Tyka, Software Engineer Two weeks ago we blogged about a visualization tool designed to help us understand how neural networks work and what each layer has learned. In addition to gaining some insight on how these networks carry out classification tasks, we found that this process also generated some beautiful art. We have seen a lot of interest and received some great questions, from programmers and artists alike, about the details of how these visualizations are made. We have decided to open source the code we used to generate these images in an IPython notebook, so now you can make neural network inspired images yourself! The code is based on Caffe and uses available open source packages, and is designed to have as few dependencies as possible.
Welcome to Nebalia Google is working on a project that will test the artistic ability of AI Google is working on a new project to determine if artificial intelligence can ever be truly creative. The project, called Magenta, was unveiled this weekend at Moogest in Durham, North Carolina, Quartz reports. During a presentation at Moogfest, Google Brain researcher Douglas Eck said the goal of the new group is to determine if AI is capable of creating original music and visual art somewhat independently of humans. Can AI be creative? The Magenta team will use Google's open-source machine learning software TensorFlow, and try to "train" AI to make art. A member of the Magenta team, Adam Roberts, demoed a digital synth program that could make music after listening to notes played by a human. The idea itself — that AI can be used to create art — is not new. Magenta will publicly launch at the start of June, Quartz reports. SourceQuartz
Interzone Comment faire une Dreamachine simple et pas chère 1. Matériel : - une platine ou un électrophone tournant en 78 tours (en vente d'occasion chez Emmaüs), (voir en bas de page pour une machine 45 tours) - une grande feuille de carton aux dimensions supérieures ou égales à 90 cm x 65,5 cm, assez rigide pour que le futur cylindre qui va être confectionné puisse tenir debout sur la platine, et assez souple pour être travaillée et découpée facilement. En vente dans les papeteries en plusieurs épaisseurs et dimensions. - une grande règle graduée de 30 ou 40 cm, - une équerre, - un crayon de papier à mine fine, - une gomme, - un tube de colle, - un cutter, - une ampoule 100 watts, - une douille, - une prise mâle, - fil électrique (5 à 6 m - une prise multiple pour brancher l'ampoule et la platine, - un mètre ruban, - épingles à linge. 2. Un après-midi, plus le temps nécessaire au séchage de la colle avant utilisation. 3. Pour faire une dreamachine, il faut un cylindre percé de trous, fixé sur une platine tournant à la vitesse de 78 tours/minute. 4. 5.
alt-AI Le Japon, les Otakus et autres trucs instables Base de Rabaul, 1944 Debout à l’extrémité de la table centrale, le commandant Watanabe réajuste sa casquette, laissant tomber de ses cheveux ras quelques gouttes de sueur qui viennent s’écraser sur le sol en bois tropical dans un bruit moite. Assis tout autour de lui, plusieurs officiers échangent à voix basse, ponctuant leurs propos de gestes désignant telle ou telle position sur l’immense carte du Pacifique sud qui s’étale devant eux. Watanabe ne la regarde guère plus : il la connait par coeur ; les emplacements des aérodromes, les positions des troupes japonaises et américaines, les patrouilles de la marine impériale… il est même capable de voir, en fermant les yeux, tous les détails de ce petit coin corné du plan, sur lequel un officier a posé pour éviter qu’elle ne se replie la figurine en bois du porte-avion Akagi, devenue tristement inutile ailleurs sur la carte. Mais l’heure n’est pas à ce genre de considérations : Watanabe a une importante déclaration à faire. Tiens ? Bref.
Alt-AI — Artists and Machine Intelligence Alt-AI I recently attended #alt-ai, a mini conference on Art and MI organized by Gene Kogan, Lauren Gardner, and folks at the School for Poetic Computation (sfpc) in New York City. The event took place in a building that was previously occupied by Bell Labs and was the location of 9 evenings almost 50 years ago. The building later became the Westbeth Artist community (home to many influential and successful artists over the years) and is now home to sfpc. All the #alt-ai talks can be watched in full here: Friday The first day started with a gallery opening (about 30 pieces, many shown on Openframe.io) and 4 speakers. Gene Kogan gave an intro and a bird’s eye view of the sudden explosion of interest in this field over the last year. Cassie Tarakajian presented some VR visualizations of a CNN, based on something like this: but in a VR environment. She also had a live demo in the gallery: Saturday Sunday
Association Catharsis -revue Borderline 8 AI Designers You Need To Know – Forbes Top AI Designers you need to know Advances in the field of artificial intelligence may be easy to trace, but mapping out emerging implications, risks, use cases, and opportunities can easily short-circuit anyone’s brain. Fortunately, a few people make it their passion to specialize in AI and its allied fields, helping make the seemingly encrypted language of artificial intelligence understandable to all. From the technical to the aesthetic, and from the ethical side of AI to its impact on business, here are the eight top AI designers making the important decisions pairing human imagination with machine intelligence. Lili Cheng Distinguished Engineer, Corporate VP and General Manager, Microsoft FUSE Labs Lili Cheng Douglas Eck Research Scientist at Google Brain, leading the Magenta project Douglas Eck You’d think most people who pursue the humanities do it just to escape math, but the truth is — even art can be distilled into numbers. Caroline Sinders Caroline Sinders Mario Klingemann
.: LaSpirale.org :. generative art | artnome When you can produce an image or an effect with the push of a button, it usually gets old quick. So it is not hard to imagine that we will see something akin to the tsunami of images with Photoshop filters we were inundated with in the early ‘90s. In fact, Valenzuela is building a tool suite not unlike Photoshop, but leveraging AI to democratize the new tools for artists and designers. I'm not going to lie, I want to be first in line to play with it. As AI technology becomes increasingly available, artistry and technical advancement will only become more important in separating the remarkable AI artists from those repurposing old tools built by others or simply pushing a button to achieve an overused visual paradigm. This post stems from me hearing too many people say they "do not like digital art.” My goal was to help you fall in love with generative art - or at least give you a better understanding of it - without having to talk about code and math.