Using the neural network to find correlations significantly improved this kind of face matching, although, it’s got a ways to go before it’s what you would call definitely reliable.

Convolutional neural networks (CNNs) are a class of deep neural networks commonly used in computer vision tasks such as image and video recognition, object detection and image segmentation.

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 ...

FaceApp is being developed by a small team out of Saint-Petersburg, Russia. “We developed a new technology that uses neural networks to modify a face on any photo while keeping it photorealistic.

Lighting, facial expression, haircuts, and age all contribute to the problem. Around 2007, facial recognition researchers turned to deep learning neural networks to solve the problem.

Neural Network Learns to Identify Criminals by Their Faces The effort aimed at identifying criminals from their mugshots raises serious ethical issues about how we should use artificial intelligence.

Facial recognition software is able to transform images into numerical expressions that are generated by neural networks, and facial characterization occurs allowing the software to classify a face ...

Deep neural networks, often criticized as “black boxes,” are helping neuroscientists understand the organization of living brains.