neural network

The deep neural network models that power today's most demanding machine-learning applications have grown so large and complex that they are pushing the limits of traditional electronic computing hardware.

It traces the historical development of neural networks, emphasizing the role of interdisciplinary research in advancing AI.

For this study, the authors use a conditional generative adversarial network, or GAN, a type of machine learning method that can generate realistic images using two competing, or "adversarial," neural networks.

The researchers further investigated their findings by building a large neural network model.

These datapoints are then fed into convolutional neural networks to detect cow movements in comparison to specific anatomical landmarks on static images from the footage.