research
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
An article by Linda Kronman that "analyses the cybernetic loop between human and machine classification by examining artworks that depict instances of bias when machine vision is classifying humans …
TPG
2023-05
Through DragGAN, anyone can deform an image with precise control over where pixels go
TPG
2023-04
Reconstructing realistic images with high semantic fidelity is still a challenging problem. Let's try with a latent diffusion model.
In Amsterdam, there are an average of 99 cameras per square kilometre monitoring our streets, pavements and communal areas. How do we prevent a ‘Big Brother-like scenario’ in the future?
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
By studying the connections between neurons, we can find meaningful algorithms in the weights of neural networks.
Most everyone in the critical-studies and eco-critical pantheon — from Socrates to Marx to Arendt to Derrida; from Carolyn Merchant to Rachel Carson, Bakhtin to Bookchin — worried about this kind of …
TPG
2021-05
Google Research. Contribute to google-research/google-research development by creating an account on GitHub.
TPG
2021-03
A Screen Walks playlist of recorded live-streamed events touching on research.
The company's star ethics researcher highlighted the risks of large language models, which are key to Google's business.
TPG
2020-09
We propose Localized Narratives, a new form of multimodal image annotations connecting vision and language. We ask annotators to describe an image with their voice while simultaneously hovering their …
TPG
2020-09
HUMAN COMPUTERS is a project that investigates the relationships between computing and labor organisation. The project is a media archaeology research that starts with the simulacra of a computing …
TPG
2020-09
Fluids that have a solid-like response to stress: a phenomenon called Discontinuous Shear Thickening (DST). This footage shows a process called viscous fingering. When the concentration of cornflour …
What virtual-reality animal experiments are revealing about the brain. Source: https://www.nature.com/articles/d41586-019-00791-w
TPG
2020-08
Image “Cloaking” for Personal Privacy The SAND Lab at University of Chicago has developed Fawkes 1, an algorithm and software tool (running locally on your computer) that gives …
TPG
2020-08
Lead researchers: Farida Vis, Simon Faulkner, Francesco D'Orazio and Lin PrøitzThis project is part of the Picturing the Social and ENGAGE research.his project focuses on the images
TPG
2020-07
Researchers have developed a tiny lightweight video camera that can be carried by a beetle.
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
2020-07
For the past twenty years, many photographers have been integrating images produced autonomously by machines into their work. We witness a paradigm shift in the process of creating photography: From …
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
Research group Citizen Lab finds WeChat screens overseas users for sensitive content, which it then bars from being received by Chinese accounts; findings are likely to add fuel to concerns in …
A paper submitted to this year’s International Conference on Learning Representations (ICLR) may explain why. Researchers from the University of Tübingen in Germany found that CNNs trained on …
TPG
2020-04
Calm Technology IMPAKT Festival 2019 Panel discussion: Calm Technology Speakers: Olia Lialina, David Benqué & Cristina Cochior. Moderator: Annet Dekker In the 90s the concept of calm technology …
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 …
The trouble comes when we rely, as we increasingly do, on digital representation for most – or even all – of our knowledge about art. This deepens the ‘googlification’ of contemporary life, the …
TPG
2020-04
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 …
TPG
2020-04
Folding@home (FAH or F@h) is a distributed computing project for simulating protein dynamics, including the process of protein folding and the movements of proteins implicated in a variety of …
A team of Janelia researchers reports hitting a critical milestone: they’ve traced the path of every neuron in a portion of the female fruit fly brain they’ve dubbed the “hemibrain.” The map …
Objects are posed in varied positions and shot at odd angles to spur new AI techniques.
An introductory presentation about Data / Set / Match, a year-long programme seeking new ways to present, visualise and interrogate contemporary image datasets. Departing from traditional 19th and …
TPG
2019-09
DeepPrivacy A fully automatic anonymization technique for images. This repository contains the source code for the paper “DeepPrivacy: A Generative Adversarial Network for Face …
TPG
2019-09
Strike (with) a Pose: Neural networks are easily fooled by strange poses of familiar objects Despite excellent performance on stationary test sets, deep neural networks (DNNs) can fail to generalize …
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 …
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 …
MIT Media Lab’s Camera Culture Group focuses on making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection. The goal is to create an entirely new class of …
we can ask a second neural net to determine whether the output of a first looks real or fake. This technique is called adversarial learning. It’s often compared to the relationship between someone …
This video demonstrates both the impressive capabilities of neural captioning systems, as well as the humorous (and maybe unsettling) limitations of such systems when their training data lack the …
TPG
2016-10
These two studies constitute the first known attempt to implement a system to perform computerized facial recognition.Both are authored by Dr. Woodrow Wilson...
TPG
2016-10
A platform for public participation in and discussion of the human perspective on machine-made moral decisions (as understood by the MIT)
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
2016-09
prostheticknowledge: UberNet Computer Vision research from Iasonas Kokkinos demonstrates method neural networks can assist in the field, encompassing various methods into one system: In this work we …
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 …
vmarinelli: This. Is. Amazing. (via MIT uses radiation to read closed books) The system uses terahertz radiation, the band of electromagnetic radiation between microwaves and infrared light, which …
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.
TPG
2016-08
‘Where land meets sea’ The shoreline of Lesvos island, 3D Scanned with ScanLab @ UCL Lesvos is perhaps the largest ‘island’ on the archipelago of the 'migrant corridor’, along …
The first imaging system to provide full-body skin mapping and ongoing monitoring. Lightweight, affordable, and convenient. constellation.io/