machine vision
![[]](https://unthinking.photography/media/pages/commissions/a-kin/a26ad85aac-1675179032/a-kin-kolam-detail-cluster-copy-400x300-q85.jpg)
2022-10
A·kin is a project by Aarati Akkapeddi exploring human and non human categorisation of photographic archives.
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 …
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
2022-10
AI images are data patterns inscribed into pictures, and they tell us stories about that dataset and the human decisions behind it.
source: https://www.reddit.com/r/interestingasfuck/duplicates/nh55at/german_ems_uses_qr_technology_to_discourage/ / …
TPG
2021-05
A Screen Walks playlist of recorded live-streamed events touching on machine learning.
source: interview between Kay Watson and Rebecca Allen (Serpentine R&D) https://www.serpentinegalleries.org/art-and-ideas/rebecca-allen/
2020-06
Lacework is a new work by Everest Pipkin that uses artificial neural networks to reinscribe the videos of MIT’s Moments in Time Dataset.
The face of your voice 3D, from the verbal to the physiognomic Contemporary life seems to be an endless game of data quantification, moving across different cultural domains. The former is an …
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 …
In Heather Dewey-Hagborg’s artwork ‘How do you see me?’, commissioned for the Data/Set/Match programme at The Photographers’ Gallery, the artist explores how machines see us. A question that has been carefully slipping through several areas of production and research during the past couple of decades. At the same time an essential need has also …
What do you see, YOLO9000? by Taller Estampa | Soy Cámara YOLO9000 is a trained object recognition neuronal network with a dataset of 9,418 words and millions of images. It is one of the many …
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 …
High Quality Face Recognition with Deep Metric Learning The new example comes with pictures of bald Hollywood action heroes and uses the provided deep metric model to identify how many different …
TPG
2019-05
Let’s play Name That Dataset!!! https://people.csail.mit.edu/torralba/research/bias/
Mushy from Everest Pipkin is a free asset pack of 824 neural network-generated isometric tiles residing in the creative commons. The sets ave been trained on; plants, building materials, flooring, …
"A Google Street View car in Los Angeles once captured a picture of Leonard Cohen. It happened a couple of years before he died. He was sitting with an acquaintance on lawn chairs outside his modest home in the Mid-Wilshire neighbourhood. The driver was an accidental paparazzi. Cohen didn’t even notice him. (...) Google Street View isn’t …
TPG
2018-11
Robot readable world Timo Arnall, 2012 How do robots see the world? How do they gather meaning from our streets, cities, media and from us? This is an experiment in found machine-vision footage, …
TPG
2017-07
“The world’s first photo exhibition shot with a car.” Barbara Davidson in collaboration with Volvo
2016-11
A net-based work created entirely by algorithms that have been automatically collecting images of six surveillance cameras placed on the US/Mexico Border from 2011 until 2014.
2016-11
The steadiness and endurance of the camera’s gaze produces the strong sense that the camera is something other than an extension of the eye: it is a sensor, a monitor, a machine for being with and in the world.
2016-11
Photography of the Internet extends to unprecedented social fields and challenges of social norms for questioning cultural, economic and ethical values of photos circulating within the networks.
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)