“Analyzing the works, the AI identified 80,000 individual strokes, and, through the neural network, learned what features in the strokes were specific to which artists. A machine-learning algorithm was also taught to look for these features, such as the differences in line weight, which reflect how hard the artist was pushing. By combining the neural network and the machine-learning algorithm, the study found that AI was able to correctly identify a work’s author 80 percent of the time.”