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 ...

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.

Huge leaps in AI have made facial recognition smarter than your brain There are privacy concerns, but facial recognition now can help get your doctor visit, and your vacation, started.

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.

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.

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.

Neuroscientists are finding that deep-learning networks, often criticized as “black boxes,” can be good models for the organization of living brains.