People with autism spectrum disorder interpret facial expressions differently. Researchers have revealed more about how this comes to be. They induced abnormalities into a neural network model to ...

Zaeri and colleagues have demonstrated the potential of Convolutional Neural Networks (CNNs) in enhancing the recognition of degraded thermal face images.

Research submitted to Cornell University uses deep neural networks to create detailed 3D models of faces using a single 2D picture. The results are remarkably accurate.

Artificial networks shed light on human face recognition Date: October 30, 2019 Source: Weizmann Institute of Science Summary: Our brains are so primed to recognize faces - or to tell people apart ...

While AI is presenting sophisticated challenges, it is also providing an opportunity for business leaders to enhance their in-house security systems and grow responsibly.

Apple today published a new entry in its online Machine Learning Journal, this time covering an on-device deep neural network for face detection, aka the technology that's used to power the facial ...

Large databases, built with images from social networks and dating services, contain millions of pictures of people’s faces. Some are shared worldwide.

A deep neural network, trained by machine learning to process data in a layered structure, conducted a direct facial comparison of the two paintings, finding a high statistical probability that a ...