AI art is an emerging field of practice in which artists harness artificial intelligence art tools to create artworks that rely on algorithms, neural networks and machine learning.
Like digital artists and video artists before them, AI-generated artworks are being viewed with both excitement and fear. While they raise questions about ownership, these machines offer a new avenue for creative expression and exploration.
DeepDream is a program that identifies patterns in images using a neural network. It then over-interprets those patterns and enhances them to create dream-like images.
It does this by forwarding an image through the network and then modifying it to increase the activations in a particular layer. Essentially, it mimics how children learn to see in their dreams.
The results are bizarre, psychedelic and, as one would expect, somewhat terrifying. Google’s AI reworks creases and spaces into fish, dog heads and other animals in a manner that looks like a hallucinatory kaleidoscope.
In February, Google Research hosted an exhibition in San Francisco called Deep Dream, where some of the software’s most unusual works were displayed. The show drew on the company’s artificial intelligence programming to explore how art could be made using technology.
Robbie Barat is an AI artist who explores a variety of domains through machine learning and GANs (generative adversarial networks). He uses his skills to create art in many genres.
He created his first AI + art project during high school, when he wrote and taught a neural network to rap like Kanye West. He was able to do this because of open-source software.
In the past year, he has worked on an AI that designs Balenciaga apparel. He has also produced AI-generated artworks for L’Avant Galerie Vossen, a Paris gallery.
The exhibition, BARRAT/BARROT: Infinite Skulls, features an infinite number of skull paintings. When they are combined, it produces a new kind of painting that’s not unlike Ronan’s original paintings.
The CAN (Can, Aluminum, or Tin) is a container that stores or distributes goods. It is made of thin metal and can be shaped like a bottle, but it can also be a rectangular or square shape.
CANs are used for many different kinds of products, including beer, soda, paint, oil, and other liquids. Some have easy-to-open features such as screw caps and removable lids.
These features make them attractive for producers of pressurized liquids, and they provide protection from the environment. They also help consumers easily open the cans and reclose them.
The can is a product that receives a large amount of research and development attention, especially in the beverage industry. The beverage market has a young user group that is responsive to novelty and innovation.
Stable Diffusion is one of the most popular and versatile text-to-image models, which is used for a range of uses. It can generate any type of image based on text and has been used to produce comic strips, mental health imagery, topographic textures and avatars for video games.
The model is trained on images, which contain "patterns" that the AI art model then stores as numeric model parameters. It then uses these patterns to generate its own images based on the prompt.
However, there are concerns about the way that Stable Diffusion has been trained, which includes scraping millions of pieces of art without asking artists for permission. This has raised ethical issues regarding copyright and authorship.
Stable Diffusion is a great tool for generating images, but it has a few limitations. It's a fairly generic tool for generating text-based artworks and should not be used for creating content that would be offensive or harmful to people.