Google has created a platform in which you can try a range of innovative pieces of art and technology, in collaboration with artists and creative coders; Cyril Diagne, Gaël Hugo, Nicolas Barradeau and Mario Klingemann.
Throughout this article we have selected to discuss four of these amazing tools developed by the Google Arts and Culture lab and how they are using AI for the sake of art.
Tags: Could computers help identify artworks?
Thanks to the use of an algorithm Google developed, an intelligent machine can look at artwork and use thousands of tags, without any human intervention. The keywords were generated by an algorithm also used in Google Photos, which analyses the artworks by looking at the images without any metadata. This algorithm uses over 4,000 unique tags such as beautiful or sunshine. This amazing experiment explores at which level Machine Learning can help people browse artworks similarly to how they search on the web.
It definitely could be a future alternative to the classic web-search.
X Degrees of Separation: The hidden paths through culture
What if artwork could be connected to another piece of art thanks to their similarities?
Using Machine Learning techniques that analyse the visual features of artworks, ‘X Degrees of Separation’ finds pathways between any two artifacts, connecting the two through a chain of artworks.
This solution can build a network of connected artworks which enable the discovery of surprising masterpieces from unknown artists.
Free Fall: Explore artworks in one three-dimensional space
Have you ever wondered what a cultural big bang might look like?
The coders found mathematical formulas that can be used to place the artworks in a 3D environment.
Thanks to this you can choose to visualise a range of artworks instantly or, artworks can be animated in real-time in the web browser using WebGL and with a resolution up to 1024px made possible by a mix of data pre-processing and “level-of-detail” mechanisms. This technology allows you to interact with the artworks and identify patterns at scale.
T-SNE MAP: Artworks mapped using Machine Learning
Explore an interactive 3D landscape created by Machine Learning algorithms that organised thousands artworks by visual similarity.
As a result, the more similar two artworks are, the closer they get. The algorithms only “look” at the artworks. No metadata was used, the technology uses only virtual similarities between the different artworks.
This variable was calculated with a computer image algorithm which is already used in Google Search. An interactive virtual space is generated where you can navigate, and look at artworks from any angle and at any scale.
Thanks to these amazing technologies you will be able to improve your level of general knowledge in a fraction of seconds. No excuses!