A new study reports facial recognition experts perform better with deep convolutional neural networks assisting them in their jobs rather than other humans.
Researchers answer the questions of whether artificial intelligence is better at facial recognization than humans. The study found both humans and deep learning algorithms perform with similar levels of accuracy when identifying faces. However, when AI technology is combined with human intelligence, the accuracy attainment levels shot up and better results were achieved than when two facial examiners worked together.
Artificial intelligence technology is able to break down a painting's visual attributes. Trained by data from online users, the deep convolutional neural network was accurately able to predict an individual's taste in art.
