Georgia Tech researchers developed a neural network, RTNet, that mimics human decision-making processes, including confidence and variability, improving its reliability and accuracy in tasks like digit recognition. Working in the lab of Associate Professor Dobromir Rahnev in the School of Psychology, researchers are training neural networks to make decisions more like humans. This science of human decision-making is only just being applied to machine learning, but developing a neural network even closer to the actual human brain may make it more reliable.