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Example of Electric Sheep by Scott Draves. Since the founding of AI in the 1950s, artists and researchers have used artificial intelligence to create artistic works. These works were sometimes referred to as algorithmic art, [12] computer art, digital art, or New media art.
Their practice is the exploration of artificial intelligence, queer theory and technical biases. Libby Heaney, [8] active from 2010s to present. Heaney's practice includes work with chatbots. Mario Klingemann, [9] active from 2010s to present. Klingemann's works examine creativity, culture, and perception through machine learning and artificial ...
Pages in category "Artificial intelligence art" The following 57 pages are in this category, out of 57 total. This list may not reflect recent changes. ...
Wikimedia CommonsA picture may be worth a thousand words, but thanks to an artificial intelligence program called DALL-E 2, you can have a professional-looking image with far fewer.DALL-E 2 is a ...
Fractal art is an example of algorithmic art ... as a program at the School of the Art Institute of Chicago in 1970 in ... of Artificial Intelligence, such ...
Edmond de Belamy, an artwork generated by a generative adversarial network. Computational creativity (also known as artificial creativity, mechanical creativity, creative computing or creative computation) is a multidisciplinary endeavour that is located at the intersection of the fields of artificial intelligence, cognitive psychology, philosophy, and the arts (e.g., computational art as part ...
"Generative art" often refers to algorithmic art (algorithmically determined computer generated artwork) and synthetic media (general term for any algorithmically generated media), but artists can also make generative art using systems of chemistry, biology, mechanics and robotics, smart materials, manual randomization, mathematics, data ...
An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
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