85 Advanced Search Results for: machine learning

Animal Classifier – Arbitrary classifications for machine learning

Created by Seoul based artistic duo Shinseungback Kimyonghun, ‘Animal Classifier’ is an AI trained to divide animals into arbitrary classifications to foreground the imperfections and edge cases in classification systems.

Decision Space – Conceptual dataset for machine learning

Created by Sebastian Schmieg, ‘Decision Space’ explores how new datasets can enable new experiments in teaching computers how to understand images within a set of meaningful and complex categories.

Machine Learning for Artists / ITP-NYU – Spring 2016

The following is a documentation of a new course ran by Gene Kogan on Machine Learning for Artists at ITP-NYU in spring 2016.

A P P A R E L – Clothing in the age of data accumulation and machine learning

A P P A R E L is an augmented reality experimental fashion prototype by the Paris-based anticipatory design studio N O R M A L S. Turning data and network activity into identity and style, the project replaces the details of contemporary couture with jiggly mesh geometry digital overlays.

Electronium – Raymond Scott’s instantaneous performance-composition machine reimagined by Yuri Suzuki

Yuri Suzuki and Pentagram in collaboration with Counterpoint have re-imagined the Electronium – Raymond Scott’s instantaneous performance-composition machine.

NORAA (Machinic Doodles) – A human/machine collaborative drawing

Created by Jessica In, Machinic Doodles is a live, interactive drawing installation that facilitates collaboration between a human and a robot named NORAA – a machine that is learning how to draw. The work explores how we communicate ideas through the strokes of a drawing, and how might a machine also be taught to draw through learning, instead of via explicit instruction

Deep Learning: CAN to co-host Mapping LAB at Mapping Festival 2018

At the upcoming (14th!) edition of Geneva’s Mapping Festival (May 9 – 12), CAN is proud to co-host Mapping LAB – a one-day educational program of 13 workshops run by leading artists, designers, and researchers in our field. Join us!

Microbial Design Studio – Machine to design, culture, and test genetically modified organisms

Created by Mike Hogan, Karen Hogan and Orkan Telhan, ‘Microbial Design Studio’ is a countertop biofabrication machine that brings together the capabilities of a biology wetlab into a single inexpensive piece of hardware to design, culture, and test genetically modified organisms.

TraiNNing Cards – Flash cards to train your machines

Latest in the series of critical design projects by Shanghai design and research studio Automato, TraiNNing Cards is a set of 5000 training images, physically printed and handpicked by humans to train any of your machines to recognise first and favorite item in a house: a dog.

Ethical Machines Podcast

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School of Machines / Making & Make-Believe

Founded in Berlin, Germany, in 2014, School of MA provides unique, hands-on learning experiences at the intersection of art and technology in Europe. School’s founder Rachel Uwa speaks to the instructors Andrew Friend and Sitraka Rakotoniaina about the recent and future programmes.

Sensible Data – A machine that playfully interprets and leaks your personal data

Created by Martin Hertig at ECAL, Sensible Data is a playful installation consisting of three machines that collect user’s personal data, evaluates mood, age, gender and beauty, to create a ‘passport’ that user can take away but which also randomly sent (without user’s knowledge) to another participant.

School of Machines, Making & Make-Believe

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Numby by Pitaru and Paterson – Learning counting in weird and wonky ways

We dont tend to talk about apps for kids on CAN but here is one that deserves a special mention. Created by Amit Pitaru and James Paterson, Numby came from seeing their own kids learn to count. They wanted to explore the simple act of counting from zero to ten in weird and wonky ways. For those that […]

Why Would You Want to Picture It – On being a vector inside a neural network

Created by Philipp Schmitt, “Why Would You Want to Picture It” is a sculpture and sound installation engaging with opacity of ‘black box’ machine learning algorithms.

Pour Reception – Water as a digital (material) interface

Created by Tore Knudsen, ‘Pour Reception’ is a playful radio that uses machine learning and tangible computing to challenge our cultural understanding of what an interface is and can be. Two glasses of water are turned into a digital material for the user to explore and appropriate.

Variable – The signification of terms in artists’ statements

Created by Selcuk Artut, Variable is an artwork that explores the signification of terms in artists’ statements. The artwork uses machine learning algorithms to thoughtfully problematise the limitations of algorithms and encourage the visitor to reflect on poststructuralism’s ontological questions.

Project Soli – World’s Tiniest Violin

Created by Design I/O, World’s Tiniest Violin is a ‘speed project’ that uses Google’s Project Soli – Alpha Dev Kit combined with the Wekinator machine learning tool and openFrameworks to detect small movements that look like someone playing a tiny violin and translate that to the volume and playback of a violin solo.

Elektra XX – Transcending the Machinic Body

In Elektra’s 20th year common themes from throughout the history of the festival of machinic bodies and digital transcendence are explored in depth and pushed to their extremes.

Sensorium Festival 2019: The Augmented Mind and Where to Look For It

From the inventions of computing pioneer Douglas Engelbart to the philosophies of Andy Clark and David Chalmers: curator Philo van Kemenade reveals what inspired the 2019 edition of Bratislava’s Sensorium Festival (June 7-9)

Document 1. – CAN’s new event series
examines cross-disciplinary practice

CAN has joined forces with UAL Creative Computing Institute to present the first in a series of events that examine new forms of cross-disciplinary art and design practice. Entitled “Document 1.”, it’s comprised of a workshop, seminar, and symposium, and takes place March 11th–13th at UAL’s Camberwell College of Art in London.

AI Facial Profiling, Levels Of Paranoia – Exploring the effects of algorithmic classification

Created by Marta Revuelta, AI Facial Profiling, Levels of Paranoia is a project exploring the potential and implication of AI technologies by proposing a machine that recognises the ability of an individual to handle firearms and predicts their potential to cause harm from a biometric analysis of their face.

Inventing the Future at MUTEK_IMG

It was just three weeks ago we were in Montréal for the 4th edition of MUTEK_IMG, MUTEK’s forum on digital creation. Invited to contribute to its symposium, we curated five panels. In this post-festival report, we share some highlights.

Artificial Imagination – Opening ‘the Black Box’ of Inscrutable AI Through Dialogue

Artificial Imagination was a symposium organized by Ottawa’s Artengine this past winter that invited a group of artists to discuss the state of AI in the arts and culture. CAN was on hand to take in the proceedings, and given the emergence of documentation, we share videos and a brief report.

Explore the Outer Limits of Digital Aesthetics & Culture at MUTEK_IMG 2018

On April 11–13th MUTEK Montréal presents the 4th edition of MUTEK_IMG, their offshoot festival focused on digital creation. CAN/HOLO was invited to curate five panels within this year’s program, that bring together leading artists and thinkers to consider pressing aesthetic and sociopolitical questions.

Lumen – Mixed reality storytelling device

Created by Arvind Sanjeev, Lumen is a mixed reality storytelling device that lets users explore AR/VR content without being confined to headsets or mobile devices.