A new study explores the neural basis for facial recognition and identification.
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeuroscienceNeurotechOpen Neuroscience Articles··5 min read
Researchers answer the questions of whether artificial intelligence is better at facial recognization than humans. The study found both humans and deep learning algorithms perform with similar levels of accuracy when identifying faces. However, when AI technology is combined with human intelligence, the accuracy attainment levels shot up and better results were achieved than when two facial examiners worked together.
Researchers report developmental prosopagnosia, or face blindness, occurs as the results of neurobiological problems that broadly affect visual recognition.
Children under the age of one appear to be able to notice differences when looking at the faces of women from different ethnic backgrounds, a new study reports.
Using an AI technique called adversarial training, researchers have developed a new algorithm that dynamically disrupts facial recognition systems, which may help to maintain privacy.
Could it be possible to judge a person's socioeconomic status by simply looking at their face? A new study revels that people can accurately assess whether a person is rich or poor, but only when the person displays a neutral face that is void of a smile or emotion.
The 'Generative Model of 3D Face Identity' is able to reconstruct facial models using information stored in a person's brain when recalling the familiar face of another person.
A new study reports facial recognition experts perform better with deep convolutional neural networks assisting them in their jobs rather than other humans.
Key brain areas associated with facial recognition were absent in monkeys who were temporaily deprived of seeing faces while growing up, a new study reports. The findings suggest experience and exposure is key to the brain's ability to recognize faces.