Researchers ‘Personalise’ the Selection of a Neural Network for Face Recognition on Smartphones
Researchers from HSE University in Nizhny Novgorod, MISIS and the Artificial Intelligence Research Institute (AIRI) have developed an algorithm that selects the best available neural network for facial recognition, taking into account the features of a mobile device. This new approach accelerates the selection of the most suitable neural network and allows the identification of people with an accuracy rate of up to 99%. The study was published in the IEEE Access journal. The source code is available on GitHub.
First 43 Expeditions Selected for New Season of Rediscovering Russia
The competitive selection of the inter-university student expedition programme Rediscovering Russia has ended. The expeditions will take place from May to November 2024 and will cover 26 Russian regions. Students and graduates from any university countrywide, including foreigners, can apply for any expedition.
Service Learning, Cybersport, and Worldview: HSE University at the World Youth Festival
The World Youth Festival held in the Sirius Federal Territory closed on March 6. A substantial team from HSE University was actively involved in the event. Here are some of the key projects and discussions at the WYF involving participants from HSE University.