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Sin duda la Arquitectura es una disciplina en constante evolución… y la forma de representarla lógicamente también. Probablemente en sus inicios fueron dibujos en 2D hechos a lápiz, croquis y maquetas, luego apareció la fotografía (como barqo.cl) y se abrió un nuevo mundo de representación. Más tarde los videos (como 0300dv.com) y los modelos 3d cada vez han ido ganando más espacio… pero el software Photosynth que muestra Blaise Aguera en el video ya no sabría como clasificarlo. Son miles de fotos hechas por distintas personas en distintos momentos sobre una misma obra sin ningún tipo de concertación… hasta que un programa lo coordina todo automáticamente para hacer una representación 3d del edificio… Qué!?!? Muy díficil de explicar.
I’m Google ( direct link ) is an ongoing digital art project by Baltimore artist Dina Kelberman that documents digital patterns through non-artistic photography found on Google Image Search . When I first started scrolling through her Tumblr I wasn’t quite sure what I was looking at: frame after frame of airplanes pouring orange fire retardant on fires which slowly morphed into an orange kayak and then an orange bridge and on and on until I realized every single image shared a slight visual characteristic with the image before it. Via her artist statement: I’m Google is an ongoing tumblr blog in which batches of images and videos that I cull from the internet are compiled into a long stream-of-consciousness.
Our Supersize Boxed Canvas prints are simply huge - 2m x 1.1m printed boxed canvas. That’s 6’6” by 3’6”. The wow factor behind that big sofa of yours.
Over the last couple of weeks, and as a bit of a distraction from finishing off my PhD, I've been working with James Cheshire looking at the use of different languages within my aforementioned dataset of London tweets. I've been handling the data generation side, and the method really is quite simple. Just like some similar work carried out by Eric Fischer, I've employed the Chromium Compact Language Detector - a open-source Python library adapted from the Google Chrome algorithm to detect a website's language - in detecting the predominant language contained within around 3.3 million geolocated tweets, captured in London over the course of this summer. James has mapped up the data - shown below, or in zoomable form here - and he more fully describes some of the interesting trends that may be observed over on his blog . With respect to the detection process, the CLD tool appears to work pretty well.
Using an algorithm adapted from web browser Google Chrome, engineering doctorate candidate Ed Manley and spatial analysis lecturer James Cheshire, both from University College London, were able to detect the language of tweets sent from the London area over the summer. Of 3.3 million tweets, 92.5 per cent are, not surprisingly, in English. The biggest tweeting tongues after that are Spanish (grey), French (red), Turkish (dark blue), Arabic (green), Portuguese (purple), German (orange), Italian (yellow), Malay (turquoise) and Russian (pink). Arabic tweeters are busy in the strongly Middle Eastern area of Edgware Road, to the north-east of Hyde Park.
Mapping the Geography of Domain Names There are currently over 18 million .com domains registered on the Internet, along with another 11 million domains of varying sorts  . What is the geography of these domains - who owns them and where are they concentrated? Clearly domain names are a valuable commodity (and some of them are very valuable, for example the $7.5 million paid for business.com or $3 million for loans.com), but they are also a useful indicator for tracking Internet content production. Mapping domain name geography provides valuable insights into where the decision makers, the new jobs, and the money are, helping identify which neighborhoods, cities, regions and countries are leading the pack on the Internet.
Bill Graham Presents in San Francisco John Mayall / Sha Na Na
When faced with ones own weakness, selfishness and arrogance, the enormity of it is too much too absorb.
The wonderful webGobbler gallery The beautiful trashbin Click on a thumbnail below for the full size 1280x1024 picture. Use the F11 key (on most browsers) to enjoy it in fullscreen. You can download webGobbler directly from sebsauvage.net or from one of the download directories: « webGobbler is a unique program »