Individual art tastes have a certain mystique to them, but now a new Caltech study shows that a simple computer program can accurately predict which paintings a person will like.

The block-based art constraints were chosen because they could easily be created by either a human artist or by a computer, but also because they somewhat resemble existing art such as some of ...

He adds, "My process begins with finding a reference for inspiration. Then I write a one-line story or idea to guide the ...

Art as a mathematical formula For his project, Keren tackled the problem by essentially breaking visually stunning masterpieces into sets of mathematical formulas. The computer program sought to ...

Computer art in the era of big data and deep learning, though, is a reckoning for algorithms, capital-A. We must now embrace – either to wrestle or to caress – computer art.

Indeed, the computer-generated sculptures became more and more convincing, evolving from blurry, amorphous blotches to clearly defined, structured, and realistic imitations of art.

That’s it. Compare that simple method with supposedly more sophisticated machine-learning-based generative tools that have become popular in the past year or so.

For the romantics among us, physicist Haroldo Ribeiro’s recent work might seem prosaic. He has developed a computer program that deconstructs works of art into sets of numbers. Now Ribeiro has ...