artificial intelligence
TPG
2023-08
A visual panorama of... "the invisible matrix of human labor, energy consumption, and resource extraction that underlies digital networks and artificial intelligence."
TPG
2023-08
Machine unlearning is an emergent subfield of machine learning that aims to remove the influence of a specific subset of training examples — the "forget set" — from a trained model
TPG
2023-07
A deep dive into annotation for machine learning, with an increasing focus on emotional content and contexts
Artificial intelligence may make some jobs obsolete but it has given a new life to a group of people who play an unglamorous but critical role in machine learning: first generation women workers in …
This is not the self-driving future we were promised – but it is the one that surveillance and privacy experts have warned about.
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.
A team of researchers pursue an intuitive prompt-to-prompt editing framework, where image edits are controlled by text only.
TPG
2023-04
Computational-mama's speculative archive emerges from 'a secret scientific society that suppressed radical new birthing, new womxn beings developing limbs and post human babies.'
TPG
2023-04
Reconstructing realistic images with high semantic fidelity is still a challenging problem. Let's try with a latent diffusion model.
TPG
2023-04
These photos have been manipulated in a process of selectively re-imagining male-coded parts in the artist's appearance within the images using a commonly available out-painting text-to-image AI tool.
TPG
2023-04
MOMA speak with three artists—Kate Crawford, Trevor Paglen, and Refik Anadol—who engage with the ways that AI and machine learning algorithms are demanding new approaches to artmaking.
TPG
2023-03
Sofia Crespo and Anna Ridler unpick technologies and how they are created, and this process of building the dataset starts to think through some of the implications inherent in even analogue …
TPG
2023-03
Why opting out from image datasets is not an effective governance mechanism for artists.
TPG
2023-03
...it's AI doing most of the work, not the optics.
TPG
2023-03
...expect the unexpected, the future's gonna be weirder than anyone can imagine....
TPG
2023-02
Think of ChatGPT as a blurry jpeg of all the text on the Web.
TPG
2023-02
Testing out Runway ML Gen-1
TPG
2023-02
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.
TPG
2022-11
The timeline traces deep learning model milestones starting from the beginning of the “AI summer” in 2012.
TPG
2022-10
AI images are data patterns inscribed into pictures, and they tell us stories about that dataset and the human decisions behind it.
On 19 September 2021, Mailchimp’s content manager algorithm categorised the Flash Fictions email publication as in conflict with their Acceptable Use Policy. The following conversation between Sam Mercer and artist Shelby Shaw reflects on the flaws of the automated content management black box.
TPG
2021-06
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 …
TPG
2021-06
“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 …
TPG
2021-06
By studying the connections between neurons, we can find meaningful algorithms in the weights of neural networks.
Tamiko Thiel talks with curator Prof. Sarah Cook about deepfakes, identity and user agency across a brief history of participatory networked art projects, political incitement.
2021-01
Go Fake Yourself! uses deepfake artificial intelligence technology to animate single photos of faces with facial expressions and body language "borrowed" from driving videos of public figures.
TPG
2020-09
Javier Lloret Pardo - Annotators View Image Annotators constitute the hidden labour of AI vision. The current ubiquitous techniques of image classification, segmentation and scene description …
TPG
2020-09
lewisandquark: Melbourne, Australia: home of kangaroos, botanical gardens, and a surreal monolith, jutting impossibly tall and narrow above its unassuming neighbors. [images from a video by reddit …
TPG
2020-07
OpenAI releases Image-GPT, a version of the same AI that you've probably seen generating writing. Only this time the same architecture (!!!) is trained on images instead. Given a partial image, it …
TPG
2020-07
an ongoing project to aggregate tools and resources for artists, engineers, curators & researchers interested in incorporating machine learning (ML) and other forms of artificial intelligence …
TPG
2020-07
June 29th, 2020 It has been brought to our attention [1] that the Tiny Images dataset contains some derogatory terms as categories and offensive images. This was a consequence of the automated data …
TPG
2020-07
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Research paper: https://arxiv.org/pdf/2003.03808.pdf Tester: …
TPG
2020-05
Transmediale 2020 End to End Exchange #5 Panel discussion Neural Network Cultures with Tega Brain, Stephanie Dick, Katharine Jarmul, Fabian Offert and Matteo Pasquinelli
Perhaps most notoriously, a few years ago, AI researchers Xiaolin Wu and Xi Zhang claimed to have trained an algorithm to identify criminals based on the shape of their faces, with an accuracy of …
TPG
2020-05
However, thanks to the pandemic, a few British hospitals are now rolling out AI tools to help medical staff interpret chest X-rays more quickly. For instance, staff at the Royal Bolton Hospital, are …
Google’s medical AI was super accurate in a lab. Real life was a different story. The AI developed by Google Health can identify signs of diabetic retinopathy from an eye scan with more than 90% …
Datasets are large collections of digital information that are used to train AI. They might contain anything from weather data, such as air pressure and temperature, to photos, music, or indeed …
Given that a person’s gender cannot be inferred by appearance, we have decided to remove these labels in order to align with the Artificial Intelligence Principles at Google, specifically …
TPG
2020-01
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 …
Until recently, Hoan Ton-That’s greatest hits included an obscure iPhone game and an app that let people put Donald Trump’s distinctive yellow hair on their own photos. Then Mr. Ton-That — an …
TPG
2019-11
A guide to the new reality-melting technology in your phone’s camera
Dare to share your poop for science—and help change the future of gut health. We’re building the world’s first and largest poop image database–so we can train an AI to change the future …
TPG
2019-11
Using generative adversarial networks (GAN), we can learn how to create realistic-looking fake versions of almost anything, as shown by this collection of sites.
Thread: https://mobile.twitter.com/AllanXia/status/1168092238770921472 In case you haven’t heard, #ZAO is a Chinese app which completely blew up since Friday. Best application of ‘Deepfake’-style AI …
TPG
2019-09
Generated Photos 100,000 Faces Generated by AI Free to Download These people aren’t real! We are building the next generation of media through the power of AI (an original machine learning …
Visual Dialog requires an AI agent to hold a meaningful dialogue with humans in natural, conversational language about visual content. Specifically, given an image, a dialogue history, and a …
As researchers, we have always wondered: if we scale up the amount of training data 10x, will the accuracy double? https://ai.googleblog.com/2017/07/revisiting-unreasonable-effectiveness.html …
While humans pay attention to the shapes of pictured objects, deep learning computer vision algorithms routinely latch on to the objects’ textures instead Image: Robert Geirhos …
6,295 Likes, 608 Comments - Bill Posters (@bill_posters_uk) on Instagram: “‘Imagine this...’ (2019) Mark Zuckerberg reveals the truth about Facebook and who really owns the…”
ImageNet Roulette (Trevor Paglen, 2019) uses a neural network trained on the “people” categories from the ImageNet dataset to classify pictures of people. It’s meant to be a peek into how artificial …
“AI, Ain’t I A Woman ” - a spoken word piece that highlights the ways in which artificial intelligence can misinterpret the images of iconic black women: Oprah, Serena Williams, …
TPG
2017-04
"Sinofuturism is an invisible movement. A spectre already embedded into a trillion industrial products, a billion individuals, and a million veiled narratives.…
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 …
San Andreas Deer Cam is a live video stream from a computer running a hacked modded version of Grand Theft Auto V, hosted on Twitch.tv. The mod creates a deer and follows it as it wanders throughout …
Miša Skalskis is a Lithuanian artist, currently based in The Hague and Vilnius. His recent work revolves around exploration of vision without image and hearing without sound. Skalskis explores …
‘Topological Visualisation of a Convolutional Neural Network’ by Terence Broad The aim of this project was to apply some of the techniques used to data visualisation techniques used to visualise …
TPG
2016-11
prostheticknowledge: AI Experiments Yesterday, Google released a load of creative coding experiments using artificial intelligence and neural networks to demonstrate how the technology can be …
Scientists at Google and elsewhere are turning to the 30-year-old digital music standard MIDI to teach neural networks how to write music.
TPG
2016-10
In October at the Tate Liverpool will be presented the project by Cécile B. Evans. A multidimensional work that analyzes robotics and artificial intelligence
To ensure people’s rights and liberties are upheld, we will need validation, auditing, and assessment of these systems to ensure basic fairness. Without it, we risk incorrect classifications, biased …
TPG
2016-09
Recognition is an artificial intelligence program that compares up-to-the-minute photojournalism with British art from the Tate collection.
TPG
2016-09
A robot solving the Instant Insanity puzzle. The film was shot in 1971 in the Stanford AI Lab.