Oramics to Electronica: Revealing Histories of Electronic Music, opens tomorrow at the London Science Museum.
The Oramics machine is a device of great importance to the development of British electronic music,” says Mick Grierson, Director of the Daphne Oram Collection at Goldsmiths. “It’s a great shame that Daphne’s contribution has never been fully recognised, but now that we have the machine at the Science Museum, it’s clear for all to see that she knew exactly how music was going to be made in the future, and created the machine to do it.”
Rare archive footage and an interactive version of The Oramics Machine feature in the exhibition. Sound and Music and Goldsmith’s have also created an iPhone app that recreates the sound of The Oramics Machine.
Oramics To Electronica enters its second phase on October 10, when it will be showcasing a wide array of electronic music and sound reproduction equipment with help from employees of the BBC Radiophonic Workshop and Electronic Music Studio (EMS), who produced the first commercial British synthesizer, the VCS3 (rocked by everyone from Brian Eno to Life On Earth composer Edward Williams). In October and November, a programme of “Electronica, Radiophonics and Oramics associated events, workshops and performances” will run alongside the exhibition; details to follow. - FACT magazine
"…non places are the real measure of our time; one that could be quantified – with the aid of a few conversions between area, volume and distance – by totalling all the air, rail and motorway routes, the mobile cabins called ‘means of transport’ aircraft, trains and road vehicles, the airports and railway stations, hotel chains, leisure parks, large retail outlets, and finally the complex skein of cable and wireless networks that mobilize extraterrestrial space for the purposes of a communication so peculiar it often puts the individual in contact only with another image of himself." - Marc Augé, Non Places: Introduction to an Anthropology of Supermodernity
The difficulty in making work now is that there’s this model of how a distributed kind of collective work could be made (i.e., through the Internet), but it can’t be made in a gallery. The nature, or structure, of the gallery doesn’t allow for that; it needs certain kinds of forms, certain objects. There’s this term I like, “stigmergy”: an ant goes out, lays a path of pheromones; the other ants follow that path, and then that path gets built up until it becomes a pathway. They use this term in open source to describe a programming language that has being continually added to and amended so that the original code has been lost or forgotten, but you’re left with a structure that everyone can use. As an idea of making art, that seems really interesting—something made with the benefits of technology. At the same time, that idea is a long way from the art being made now, and a long way from Benjamin’s idea of art’s aura. The aura is still there; it still surrounds artworks, massively. The trouble is that more you start to distribute art or disperse it, the more mutable art becomes, until finally, it dissipates into just “LOLCats” or something. - Mark Leckey in an interview with Mark Fisher (Kaleidoscope, Summer 2011)
Installation view, Serpentine Gallery, London
(19 May – 26 June 2011)
Fiorucci Made Me Hardcore (1999.) Installation view
Google Fellow/software engineer Amit Singhal writes about the challenges inherent to searching for images in an essay for Google's Think Quarterly corporate webzine:
At Google, when we talk about organizing the world’s information, we don’t mean only text; images and videos contain a wealth of information. In the early days, this type of content simply didn’t exist online. Now, through efforts like Google Earth and Street View, we can provide something incredibly valuable: images of your physical world.
However, in many ways, getting visual information online is the easy part. What’s hard is understanding that information. Unlike text, we cannot simply read an image or video. We have to look inside them, dig out the pixels and translate them into something meaningful. For a long time, we considered this a pipe dream, but by combining search methodology and technological breakthroughs in computer vision, today we can match pictures at a visual level. Search for ‘Mount Rushmore’ on Google and our algorithms will analyze many factors, such as the shape and texture that produces a good image of Mount Rushmore, then return those images to you in striking full-color.