The winning algorithm likely will strike that balance between speed and volume. Deep learning could be a key to help identify that sweet spot. “That has been the turbocharger in face recognition,” ...

The new algorithm, written by Sachin Farfade, Mohammad Saberian, and Li-Jia Li, relies on advances in a type of machine learning called deep convolutional neural network.

Facial recognition has become more widespread and accurate in recent years, as an artificial intelligence technology called deep learning made computers much better at interpreting images ...

Face-mask recognition has arrived—for better or worse New algorithms can police whether people are complying with public health guidance. The practice raises familiar questions about data privacy.