data

Images are the fuel of computer vision. In this text, the sociologists and computer science researchers Miceli Milagros and Tianling Yang, discuss the performativity of ground truth data that are produced in image labeling processes.
A project by Rosalie Yu that considers coin-operated children’s rides, which arrived in Taiwan in the form of Mickey Mouse and Pikachu characters from colonial powers in relation to labour, ownership …
An analytic website for stock photographers found that the average revenue per image per month or AI images is a whopping four and a half times bigger than photos or any other format.
an overview of the context of AI art making tools and connects media studies, new media art, and data ethics with current events and debates in AI and generative art.
We live in a world full of images made by machine for machines, from facial recognition technologies to automatic license plate readers and AI image categorisation. What’s more, these new ‘ways of …
Alan Warburton - FGBFAQ 2020 https://alanwarburton.co.uk/rgbfaq Synthetic data is increasingly sought after as a ’clean’ alternative to real world data sets, which are often biased, unethically …
A Screen Walks playlist of recorded live-streamed events touching on marketplaces.
“To generate its synthetic humans, Datagen first scans actual humans. It partners with vendors who pay people to step inside giant full-body scanners that capture every detail from their irises to …
This article weaves a thread between two commissions, historically through Virginia Woolf, technologically by computational juxtaposition, as well as poetically in the viewer’s experience through a speculative remix.
Smithsonian Open Access Download, share, and reuse millions of the Smithsonian’s images—right now, without asking. With new platforms and tools, you have easier access to nearly 3 million 2D and 3D …
PALM is an ongoing project, initiated during the founding year of U5 more than ten years ago. When the members of U5 started their collaborative work a camera was installed in their basement studio. …
The Next Biennial Should be Curated by a Machine is an inquiry into the relationship between curating and artificial intelligence, and a possibility of developing an experimental system capable of …
“I noticed a structural abnormality when looking at a hex dump of an image file from an unknown origin only to discover it contained what I now understand is an IPTC special instruction. Shocking …
The success of ImageNet highlighted that in the era of deep learning, data was at least as important as algorithms. Not only did the ImageNet dataset enable that very important 2012 demonstration of …
We present a method and application for animating a human subject from a single photo. E.g., the character can walk out, run, sit, or jump in 3D. The key contributions of this paper are: 1) an …
TPG
2019-04
Aarati Akkapeddi Encoding An experiment in the aesthetic deconstruction of identity through the visual interpretation/abstraction of biometric data pulled from family photographs as an exploration of …
What can algorithms know? The present power of algorithms is fueled by another entity: that of data. Generally referred to as big data, large data sets, whose technical history has been well …
"Images now published on social media are valorised in terms of distribution and quantifiable interactions, particularly when triangulated with data about a user’s online purchases or social media behaviour. This process shapes visual representations of human identities into ‘data images’ outside the control of the person the data originates from. …
Information asymmetry is power asymmetry. If “data is the new oil” in the 21st Century, then internet users are the raw earth from which this oil is extracted; a commodity to be exploited for the benefit of the oil barons. In this, there is at least some equity amongst users around the world: the parity of the powerless. Except that isn’t accurate …
Nicolas Malevé interviews the artist Sebastian Schmieg on image annotation, immaterial labour and his TPG commission 'Decision Space'.
HITO STEYERL. This reminds me of the late 19th century, where there were a lot of scientific efforts being invested into deciphering hysteria, or so-called “women’s mental diseases.” And there were …
Who knows what went into an image, what it includes and what it hides? This is not merely a question of fine art historical importance of materials, or even media historical intrigue of chemistry but one of steganography - hiding another meaningful pattern, perhaps a message, in data; inside text or an image.
Jeffrey Thompson, Every Possible Photograph, 2013 Though limited to eight colors at a very low resolution, the piece will take approximately …
In October at the Tate Liverpool will be presented the project by Cécile B. Evans. A multidimensional work that analyzes robotics and artificial intelligence
As our cities become smarter, the data of daily life is becoming increasingly granular. Sensors and cameras can tell us things like how many people cross a particular street during the morning …
prostheticknowledge: Generating Videos with Scene Dynamics Proof of concept computer science research from Carl Vondrick, Hamed Pirsiavash and Antonio Torralba can generate video content from a …
I’m Google is an ongoing Tumblr blog in which the artist Dina Kelberman, collects images and videos from the internet and assembles them into what she calls a ‘long stream-of-consciousness’.  Both …
TPG
2016-09
Recognition is an artificial intelligence program that compares up-to-the-minute photojournalism with British art from the Tate collection.
Eye-tracking technology helps us understand how people interact with their environment. This can improve policy and design, but can also be a tool for surveillance and control.
TPG
2016-08
This artwork is composed of over fifteen million mug-shots of people arrested in the U.S. It obfuscated the criminal records of mug-shot websites by cloning them and shuffling their data. A …