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Short Documentary on Internet Infrastructure


Bundled, Buried & Behind Closed Doors is a short documentary explaining internet infrastructure, focusing on the art deco building 60 Hudson Street in Tribeca, which is now one of the most concentrated carrier hotels in the world. The internet has an "ironically very limited geography in terms of big strategic concentrations," explains Stephen Graham, professor of cities and society, Newcastle University, in the short film. "The big affluent high tech information rich regions" is where the infrastructure is densely located. And 60 Hudson Street was especially ideal as a hub, given that the building was already designed to accomidate cables as it was first fitted for pneumatics tubes, then telegraph cables and telephone lines. 

In an interview with The Atlantic's Kasia Cieplak-Mayr von Baldegg, director Ben Mendelsohn explains, "The issue of how this infrastructure is hidden fascinates me. Andrew Blum has a book coming out in May about physical Internet infrastructure, which I'm very excited for. He was giving a lecture and handing out postcards of "data monuments" in New York City, and I asked him: if these are monuments, what do they reveal about the culture that built them? Their message is really one of ambivalence. Service providers need to let potential clients know where they are, but they generally decline to make their presence widely known beyond that marketing purpose. Andrew did say that he envisions "brewery tour" style visits or class field trips to Internet buildings in the future, and I think that would be great, but the industry is not there yet."

 

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Essay by Alexander R. Galloway on Nils Aall Barricelli in Cabinet


Barricelli experiment recreated with Processing by Galloway. Barricelli’s visualization technique has been altered—color has been added to show the gene groups more clearly, and the vertical axis has been compressed to increase the amount of evolutionary time that is visible. Each swatch of textured color within the image indicates a different organism. Borders between color fields mean that an organism has perished, been born, mutated, or otherwise evolved into something new

The latest issue of Cabinet inclues an essay by Alexander R. Galloway on mathematician Nils Aall Barricelli, who created artificial evolution experiments in the 50s, with a striking visualization technique:

How did it work? Barricelli established a “universe” consisting of a horizontal row of 512 genes. Genes were represented using integers from negative 18 to positive 18. According to “norms” he established governing mutation and reproduction, each number reproduced into the row below it. in this way, the norms translated rows of “parent” genes into subsequent rows of “child” genes, which in turn were reproduced again using the same norms into subsequent generations over and over. if and when gene-numbers reappeared in a sustained group, Barricelli would designate each group an “organism.” proceeding in lines from top to bottom, Barricelli’s algorithm produced a rectangular image consisting of a grid of genes appearing as individual pixels. When finished, the image yielded a snapshot of evolutionary time, with the oldest generations of organisms at the top and the youngest at the bottom. the output of Barricelli’s experiments was highly visual. he was essentially drawing directly in binary numbers, converting 1s and 0s into pixels in either on or off positions. Because he represented each gene as pixels, organisms were identified visually based on how the pixel patterns self-organized into texture fields, which were identified as shapes or ...

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5 Million Dollars 1 Terabyte (2011) - Manuel Palou


5 Million Dollars 1 Terrabyte (2011) is a sculpture consisting of a 1 TB Black External Hard Drive containing $5,000,000 worth of illegally downloaded files. A full list of the files with clickable download links can be found here.

 

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Info Mining: A Look at George Tzanetakis' Innovations in Music Classification


 

Printed scores were once necessary for music listening.  Until the 20th century, each musician playing a symphony would need his own notated sheet music in order to play a piece for every performance.  Today, the bulk of music listening happens through recordings.  Musicians only need to play a song correctly once in order for anybody to hear it anytime, anywhere.

But with the streamlined dissemination of digital music on the Internet, today’s listeners need guidelines for how to consume music just as badly as musicians once needed scores to produce new music.  There is simply too much recorded music for any one person to keep track.  Accordingly, “music discovery services”, which guide listeners through huge libraries of music, are beginning to emerge as a genuine growth industry.

Pandora, a leading music discovery service, famously began its Music Genome Project about a decade ago, a music classification method that numerically rates songs according to a long list of criteria and sorts songs by these “genetic” similarities.  Pandora’s website generates playlist suggestions based on a minimal amount of input from listeners.  Ideally, Pandora automatically can create personally tailored playlists that a listener didn’t have the knowledge or time to create.

Shortly before the Music Genome Project commenced, George Tzanetakis made Marsyas, an open-source toolkit for automatically classifying songs and entire libraries of music, among other applications.  Pandora and Marsyas had similar aims - to intelligently sort music libraries to give listeners a way to find new artists and retrieve other qualitative information about music.  Working at Princeton as a grad student with professor Perry Cook, who wanted to find a way of automatically sorting radio stations, Tzanetakis developed various library-browsing visualizations within Marsyas, including Genre Meter, which can respond live to sound sources and classify them (video demo.)

Pandora has taken off as a large-scale commercial venture, with more competitors like Spotify and Slacker in its wake.  Tzanetakis’ Marsyas has remained known mostly only by academics and computer scientists.  Regardless, Tzanetakis’ work addresses issues of music classification in a more radical and even prophetic way than Pandora: all of Marsyas’ “genes” are completely determined by computer automation.  Tzanetakis’ contributions to the field of Music Information Retrieval (MIR, for short) have helped to push computers toward increasingly delicate interpretations of one of man’s most elusive forms of expression.  Marsyas is available for free download and even has a free user manual.

Though songs in the Pandora database are weighed and sorted by algorithms, a board of experts determines the value of each “gene”.  Recently, a New York Times reporter sat in with a group of Pandora’s experts listening to songs and then opining about how high a song scored in criteria like “emotional delivery”, “exoticism” and “riskiness”; as well as more concrete judgements on tempo, instrumentation and harmony.

By contrast, George Tzanetakis’ approach to music classification is completely automated.  It needs no panel of experts or crowdsourced participants to complete an intelligently made, intuitively browsable library of music.  It works based entirely on the audio signals themselves.  Given merely a library of digital song files, George Tzanetakis’ automated classification techniques algorithmically organize songs according to a variety of criteria and present fun interactive ways to browse and compare music.

 

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Storytelling: An Interview With Nicholas Felton



Nicholas Felton spends much of his time thinking about data, charts and our daily routines. He is the author of several Personal Annual Reports that collate countless measurements into a rich assortment of graphs and maps reflecting the year’s activities. He is the co-founder of Daytum.com, a site for counting and communicating daily data, and a member of the product design team at Facebook. His work has been profiled in publications including the Wall Street Journal, Wired and Creative Review.

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The Data Dimension at FutureEverything 2011


MIT SENSEable City Lab: Borderline


The Data Dimension at FutureEverything 2011 (Manchester, UK) features an eclectic mix of design and art projects which gesture towards a data-driven culture. The first microscope was designed by Galileo Galilei (1564–1642). The microscope, like the telescope, revealed entirely new worlds, at scales impossible for humans to perceive. Today, like their predecessor, scientists, artists, academics and amateurs, re-purpose, extend, and invent new technologies to observe and comprehend the things no one has seen or understood before. This not only reveals a previously unimagined realm, more than this it constructs a new reality, giving shape and life to a new dimension. The artworks featured in The Data Dimension are an example of the type of experiments taking place. They are spyglasses to study the microscopic, immaterial and infinitely complex. This is about illuminating a future, and creating a new perspective, on a world that is only beginning to emerge. The Data Dimension presents a selection of these Digital Microscopes; artworks that nurture new insights into the invisible infrastructures that make up our world. Here designers and artists visualise the invisible layer of complex data that surrounds our daily lives, making data come alive.

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Pure Data read as pure data (2010) - Nicolas Maigret


The content of the Pure Data application is read as pure data into sound and pixels (rgb + extrude)

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Images from Jonathan Zawada's exhibit "Over Time" at PRISM



Why the Earth is Green, 2010

The exhibition focuses on large-scale landscape paintings whose topographies are derived from graph data. Zawada collected and compared a variety of data series that extrapolate information over time, such as “Marijuana usage among year 12 students vs. CD and Vinyl record sales between 1975 and 2000” or “Value of land per square meter in Second Life vs. Value of land per square foot in Dubai between 2007 and 2009.” The data is then manipulated through a 3D fractal program and the resulting environment becomes a virtual abstraction that mimics a mountainous landscape.

Painted on linen, the landscapes are a response to the “virtual” reality of digital experiences that are highlighted by the intrinsic flatness and surreal color palate. Invoking the robotics hypothesis of the “Uncanny Valley,” the works take on an android quality, a sense of reality but not quite, registering with the viewer as both familiar and dissimilar. This theme carries through to his drawings, juxtaposing the hyper-real with the conceptually abstract and underlining the temporality of human experience.

-- DESCRIPTION FROM STATEMENT FOR "OVER TIME" AT PRISM (DEC 16, 2010 — FEB 12, 2011)

Flight 77, 2010

Earth Movers, 2010

Very Hot Nights, 2010

Land Sale, 2010

Originally via TRIANGULATION BLOG

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Interview with Zach Gage



Zach Gage, Hit Counter, 2009

“Between the ubiquity of Internet access and the fact that data has no objective tangible form, internet users have long been plagued with the problem of determining the value of the content they are ingesting.” - Zach Gage

Seen in a certain light, the core of technological mediation has always been presence, absence, and distance. Writing established the possibility of presence during absence, arrows and gunpowder created force at a distance, the telephone created presence at distance, and network computing fundamentally altered the nature of being “absent” or “present” to an almost unrecognizable degree. No small surprise then that contemporary “media art” practice seems to return to these questions as being fundamental investigations. The question of what “presence” could be was explored and expanded throughout the dawn of the internet age: Ken Goldberg’s TeleGarden, Eduardo Kac’s concept of Telepresence, Sven Bauer, Heath Bunting, to grab but a few names. Each possibility of a new field of entry, a new method of retaining, mapping, signifying, and storing, opened a rich possibility. Now fast forward fifteen years and ever-presence is exhausting, a nuisance that forever asks and returns only the vague rewards of a slot-machine and seems to fray our sense of privacy, meaningfulness, boundary, and perhaps even self. So how then to artistically respond to this? Exhibit: Zach Gage.

His works are at once sophisticated and remarkably simple, both in presentation and concept in a way that might be recognizable to Joseph Kosuth or Lawrence Weiner, rather than the Baroque conceptual complexity on display in much media art in the 90’s. Computational art or interactive art has generally taken two tacks in dealing with the complexities of technology itself -- unabashed celebration and dystopian anxiety. At either extreme is the grandiose challenge of prediction: this possible or actual relationship to technology will lead to this consequence or benefit. The reality of living with technology is not only simpler but is often much more banal. The most refreshing element of Gage’s work is how it asks us to do nothing more than consider what is. Working with the instantly familiar data sources, Twitter, Google, chat servers, at their simplest, his work often resembles a refreshingly sharp Occam’s Razor taken to notions of the richness of data and networked experience.

His thesis show, “Data”, is an extremely visually and thematically understated installation comprised of several pieces. Small wooden boxes, wires, and simple placards: none of the forced estrangement, hand-waving interactivity, or spectacle that one associates with computer arts. In particular, one of the pieces in the show, Hit Counter stands out as particularly poignant: a simple measurement of the number of times someone has stood in front of the work. Face recognition software is used to keep track of the actual viewers and the number is displayed on an old-fashioned mechanical counter. Gage states “with no other means to judge it, Hit Counter demands to be assigned a worth based solely on its popularity.” But then, Hit Counter is not merely asking to be judged on popularity. It, like so many things in our media culture, is popularity. It’s nothing else, and it’s not any kind of popularity other than actual physical presence; a sharp reminder of the relationship between presence and popularity. No matter how many people hear about it online, what is written about it, what buzz is generated, it’s a simple box that generates a number based on how many unique people have stood in front of it. I’m not sure whether I’m more struck by the concept itself or that I am so struck by the concept as an ontological exercise: something that simply is actual physical presence. It’s odd that it is odd and, in that oddness, it is a stance closer to Sol Lewitt “Sentences on Conceptual Art” than many other re-interpretations of his legacy and ideas. Reformulating the simplest data object imaginable in the simplest terms has a markedly clarifying effect and in clarification is a rare kind of beauty. I spoke with Zach Gage about Hit Counter, as well as his larger practice.

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Chilton Computing Photographs: 1961-2004


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DCS Systime 5000 used for Unix Development (01.01.80)

The photos below derive from the online photo archive "Chilton Computing Photographs: 1961-2004." Photos in the collection relate to computing and computer staff on the Chilton, Oxfordshire site that housed both the Atlas Computer Laboratory and the Rutherford Appleton Laboratory. The archive contains over 3000 photos from 1961-2004.

Originally via DIAMOND VARIATIONS

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Atlas Machine Room in Colour, just before Closure (13.03.73)

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Apollo Domain (05.04.82)

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Computer Graphics Display: Rutherford (02.01.70)

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Computer Display Board (High Speed Local Networks) (03.10.79)

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ICL 2904 (22.03.79)

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PERQ Screen: Game of Life (05.03.81)

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Transputer (07.04.87)

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