EmoNet, a neural network model, was accurately able to pair images to 11 emotion categories.
The EmoNet research study demonstrates how AI can measure emotional significance.
Artificial intelligence might one day start communicating our emotions better than we do. EmoNet, neural network model developed by researchers at the University of Colorado and Duke University, was accurately able to classify images into 11 different emotion categories.
A neural network is a computer model that learns to map input signals to an output of interest by learning a series of filters, according to Philip Kragel, one of the researchers on the study. For example, a network trained to detect bananas would learn features unique to them, such as shape and color.