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.

The team has taken a fundamentally different approach to its predecessors, employing an advanced type of machine learning known as a deep convolutional neural network.

The Face Detection Algorithm Set to Revolutionize Image Search The ability to spot faces from any angle, and even when partially occluded, has always been a uniquely human capability.

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,” ...

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 ...