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aesthetics

ISEA2011 presents Southern Ocean Studies :: Pro­jec­tion on the Cupola: September 14 - 21, 2011; 9:00 am - 11:00 pm :: Discussion: September 16; 8:00 - 10:30 pm :: Çem­ber­l­i­tas Hamam (built by Mimar Sinan in 1584). Lan­franco Aceti , ISEA2011 Is­tan­bul Artis­tic Di­rec­tor and Con­fer­ence Chair, in­vites you to dis­cuss is­sues of con­tem­po­rary ecol­ogy, melt­ing of the poles and the im­por­tance of water in world cul­ture while bathing in the sur­round­ings of this his­tor­i­cal build­ing adorned with the art­work of Gavin Baily, Tom Corby and Jonathan Macken­zie . The art­work you will see here shows the South­ern Ocean cir­cu­lat­ing the Antarc­tic land mass (cen­tral). The pro­ject soft­ware runs in real-time gen­er­at­ing the ocean cur­rents on the fly, to which are mapped var­i­ous other eco­log­i­cal data sets. Continue reading http://turbulence.org/blog/tags/aesthetics/page/3/
http://culturevisuelle.org/dejavu/83 Plusieurs articles sur 4chan parus récemment ont donné lieu à des discussions sur la nature et l’intérêt de cet ensemble d’ imageboards . Le présent billet s’intéresse uniquement à la circulation des images depuis et vers 4chan , c’est-à-dire à l’origine de ces images (flux entrant) et où vont ces images après avoir transité par 4chan (flux sortant). Je ne parlerai donc pas des contenus textuels de la plate-forme et me garderai bien de donner un avis quelconque sur la qualité des productions que l’on y trouve . De surcroît, même en limitant ainsi mon sujet aux images, je ne prétends pas ici apporter quelque chose de vraiment nouveau aux débats en cours. Mon objectif est simplement de montrer à l’aide d’outil publics simples à mettre en œuvre que 4chan n’est pas le fondement (je reste poli) du Web que l’on a pu décrire, mais qu’il doit plutôt être considéré comme un espace actif où circulent et se transforment rapidement certaines productions iconographiques d’un Web plus “habituel”.

Les flux d’images de 4chan | Déjà vu

pattern-recognition

Amorçage

mathematics

Neural Networks

The inverted machine – Rechnender Raum (Computing Space) is a light-weight sculpture, constructed from sticks, strings and little plumbs. At the same time it is a full functional logic exact neural network (*). Through its strict geometric and otherwise very filigree construction, the observer is able to track the whole processing logic from every viewpoint around the machine. This disclosure of the machines core is enforced by an uncommon distribution of its constructing elements: a nine angled architectural body forms a torus. In contrast to an ordinary alignment of a hidden logic and an outer user facing display its geometric basis is turned inside-out. The core of the machine, with all its computing elements, is shifted outwards on the surface, while the “display” which indicates the results of the tasks is displaced into the center of the system. http://www.rlfbckr.org/work/rechnender_raum

ralf baecker | RECHNENDER RAUM

TechFest 2008: Real Time Rendering of Smoke Animation | Tina Woo

http://channel9.msdn.com/Blogs/Tina/TechFest-2008-Real-Time-Smoke-Animation One would think that Real Time Rendering of Smoke Animation in this technological era would be a cake walk. Well, it isn't and here's why: Rendering of smoke presents a challenging problem in computer graphics because of its complicated effects on light propagation.

gamescape

Create a city while playing the game! Gamescape visualizes all playing movements as a 3D-sculpture and all movements of all players as an entire city. Gamescape is an extension to the retro-game « l1neum » by «la1n». It is visualizing all playing movements of a player as a 3D-sculpture. While as the movements of one player make up a sculpture, all sculptures of all played games of all players are collected on a server and form an entire city: A city consisting of structures which are created by all the gamers' movements. http://www.and-or.ch/gamescape/
http://abeautifulwww.com/2009/10/11/guide-to-getting-started-in-machine-learning/

Guide to Getting Started in Machine Learning

Someone at work recently asked how he should go about studying machine learning on his own. So I’m putting together a little guide. This post will be a living document…I’ll keep adding to it, so please suggest additions and make comments. Fortunately, there’s a ton of great resources that are free and on the web. The very best way to get started that I can think of is to read chapter one of The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2009 edition). The pdf is available online.
Brain and AI

neuralnet 1

Imprimante 3D

Extreme Programming

RB Whitaker's Wiki: Welcome

Welcome to this website! This started out as a temporary location for my tutorials and projects, which has become quite popular, and as a result, fairly permanent. As long as Wikidot keeps cooperating with me, I'm planning on staying here. This site is designed as a place to help you get going with game development (or just software development in general) and provides you with tons of free amazing tutorials, software, and resources for you to use. Take a look at my XNA Tutorials as well as my MonoGame Tutorials , and my Realm Factory program, which is a basic (free) level editor for XNA. Or see what other people are saying in the Forum . http://rbwhitaker.wikidot.com/start

unnamed pearl

http://orgnet.com/inflow3.html Software for Social Network Analysis & Organizational Network Analysis If a picture is worth a thousand words, what is an interactive model of your organization, community, or industry worth? InFlow 3.1 performs network analysis AND network visualization in one integrated product -- no passing files back and forth between different programs like other tools. What is mapped in one window is measured in the other window -- what you see, is what you measure. InFlow excels at what-if analysis -- change the network, get new metrics -- just 2 clicks of the mouse. InFlow is designed to work with Microsoft Office and the WWW.
intelligence collective

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