Computer art is any art in which computers play a role in production or display of the artwork. Such art can be an image, sound, animation, video, CD-ROM, DVD-ROM, video game, website, algorithm, performance or gallery installation. Many traditional disciplines are now integrating digital technologies and, as a result, the lines between traditional works of art and new media works created using computers has been blurred. For instance, an artist may combine traditional painting with algorithm art and other digital techniques. As a result, defining computer art by its end product can thus be difficult. Computer art is bound to change over time since changes in technology and software directly affect what is possible.
On the title page of the magazine Computers and Automation, January 1963, Edmund Berkeley published a picture by Efraim Arazi from 1962, coining for it the term "computer art." This picture inspired him to initiate the first Computer Art Contest in 1963. The annual contest was a key point in the development of computer art up to the year 1973.
The precursor of computer art dates back to 1956–1958, with the generation of what is probably the first image of a human being on a computer screen, a (George Petty-inspired) pin-up girl at a SAGE air defense installation. Desmond Paul Henry invented the Henry Drawing Machine in 1960; his work was shown at the Reid Gallery in London in 1962, after his machine-generated art won him the privilege of a one-man exhibition.
By the mid-1960s, most individuals involved in the creation of computer art were in fact engineers and scientists because they had access to the only computing resources available at university scientific research labs. Many artists tentatively began to explore the emerging computing technology for use as a creative tool. In the summer of 1962, A. Michael Noll programmed a digital computer at Bell Telephone Laboratories in Murray Hill, New Jersey to generate visual patterns solely for artistic purposes.
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This course explores visual strategies and techniques for creating apparent reality. The course concentrates on the field of 3D computer graphics and the production of still lifes as computer-generate
The demoscene is an international computer art subculture focused on producing demos: self-contained, sometimes extremely small, computer programs that produce audiovisual presentations. The purpose of a demo is to show off programming, visual art, and musical skills. Demos and other demoscene productions (graphics, music, videos, games) are shared at festivals known as demoparties, voted on by those who attend and released online. The scene started with the home computer revolution of the early 1980s, and the subsequent advent of software cracking.
Generative art refers to art that in whole or in part has been created with the use of an autonomous system. An autonomous system in this context is generally one that is non-human and can independently determine features of an artwork that would otherwise require decisions made directly by the artist. In some cases the human creator may claim that the generative system represents their own artistic idea, and in others that the system takes on the role of the creator.
Software art is a work of art where the creation of software, or concepts from software, play an important role; for example software applications which were created by artists and which were intended as artworks. As an artistic discipline software art has attained growing attention since the late 1990s. It is closely related to Internet art since it often relies on the Internet, most notably the World Wide Web, for dissemination and critical discussion of the works.
This paper investigates the potential impact of deep generative models on the work of creative professionals. We argue that current generative modeling tools lack critical features that would make them useful creativity support tools, and introduce our own ...
Thanks to better actuator technologies and control algorithms, humanoid robots to date can perform a wide range of locomotion activities outside lab environments. These robots face various control challenges like high dimensionality, contact switches durin ...
In this work, we present a semi-automatic method to reconstruct a mouse whole-brain model at the point-neuron level by integrating a wide array of biological data. Our process has three parts: cell position and type assignment, connectivity mapping, and si ...