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News

Neural Network Taught to Detect Age and Gender by Video Almost 20% More Accurately

Researchers from the Higher School of Economics have created a technology to help neural networks identify certain people on video, detecting their age and gender more quickly and accurately. The development has already become the basis for offline detection systems in Android mobile apps. The results of the study were published in an article entitled ‘Video-based age and gender recognition in mobile applications’ .

On Autopilot: How Self-driving Vehicles Fit into the Legal Landscape

IQ.HSE continues its series of HSE* expert reports on the legal regulation of new technologies. The first article in the series dealt with artificial intelligence. Today’s article looks at self-driving vehicles.

Scientists Teach the Neural Network to Carry Out Video Facial Recognition — Using a Single Photo

Researchers at the Higher School of Economics have proposed a new method of recognizing people on video with the help of a deep neural network. The approach does not require a large number of photographs and it has a significantly higher recognition accuracy compared to already existing methods — even if only one photo of a person is available. The results of the work have been published in the articles ‘Fuzzy Analysis and Deep Convolution Neural Networks in Still-to-Video Recognition’.