Here’s what a machine “hears” when it looks at art.
In 2016, MIT researchers released an intriguing paper. Using 2 million videos, they had taught a neural network to do something novel: recognize scenes or objects based on what they sound like. Based only on the noise in a video, it could detect a coral reef, for example, or a plane taking off. They called it SoundNet.Read Full Story
