AI Researchers Have Developed an Algorithm to Determine the Properties of Two-Dimensional Materials by Analysing their Defects
An international team of researchers with the participation of young scientists from the HSE Faculty of Computer Science and Artificial Intelligence Centre have developed a machine learning algorithm that can determine the properties of new 2D materials with point defects. The new method is 1000 times faster than quantum mechanical computations and 3.7 times more accurate than other machine learning algorithms. The results have been published in npj Computational Materials. The source code, dataset, and model weights are available in the repository under an open licence.
Alcohol Consumption Patterns Vary Across Social Groups in Russia, According to HSE Research
Although there is a larger percentage of drinkers among high-status professionals and executives compared to low-status workers, the former consume less alcohol. This is one of the findings of a study carried out by researchers of the HSE Faculty of Economic Sciences and published in Voprosy Statistiki.
Russia to Help Africa with Public Service Digitalisation
Russian and African civil servants are to exchange experience in the field of digitalisation. The programme was presented by HSE University’s Centre for African Studies in cooperation with the Innopraktika company. The programme organisers are also ready to carry out educational events in any country on the continent.
HSE University Students Help Develop Kamchatka
The winners of HSE University’s case championship on tourism development in Kamchatka took part in the All-Russian Youth Ecological Forum ‘Ecosystem. Wildlife Sanctuary’. The forum’s main mission is the formation and consolidation of young people’s proposals in the field of ecology for future implementation.
Evolution of Face ID Industry: Insights from Online Programme Master of Computer Vision
The online Master’s programme ‘Master of Computer Vision’ recently held a webinar ‘Face recognition. How does it work and how does it break?‘ as part of its admission campaign, with the participation of the programme’s business partner, Huawei. Participants learned about the basic principles of Face ID algorithms and the features of face recognition technologies relative to other deep learning models, as well as some of the tricks that can mislead artificial intelligence systems.
Summer University 2023: ‘A Good Introduction to Urban Studies’
At the start of August, HSE University held the tenth annual Summer University. This year’s programme took the form of a workshop on urban studies. The participants attended four courses from HSE University faculty and invited experts and worked on their own projects to develop a cultural heritage site. Jung Woo Lee, from South Korea, shares his impressions of the Summer University.
‘Every Year, We Receive Thousands of Applications From All Over the World’
Registration is now open for the autumn 2023 international Study Tour Experience at HSE University. Applicants from outside Russia who are interested in applying to master’s programmes can spend two weeks as a student of HSE University’s campuses in Moscow, Perm, Nizhny Novgorod, and St Petersburg.
AI Helps Scientists Generate Z-flipon Map
Researchers from HSE University and Sber Artificial Intelligence Lab are using AI to predict the location of DNA fragments in the genome which can flip over and form a mirror structure known as Z-DNA. The scientists have found that these DNA fragments overlap with known mutations which can cause severe hereditary diseases and impact a person's health, height, weight, cholesterol levels, and even determine their hair colour. The study findings have been published in Life Science Alliance.
Faculty of Computer Science and AI Centre Welcome Applications to Binary Super Resolution Challenge
From July 18 to October 15, 2023, the HSE University Faculty of Computer Science and AI Centre invite those interested to take part in the online Binary Super Resolution Challenge (BSRC-2023). The top 50 teams will receive prizes, and the top three will receive cash prizes.
Russian Researchers Develop Software to Predict the Location of Elements of the Human Genome
Researchers at the HSE Artificial Intelligence Centre have created software for predicting the location of elements of the human genome. The scientists used deep learning methods based on complex data on various human molecular components. The research followed the objectives of the ‘Artificial Intelligence’ federal project of the ‘Digital Economy’ national project.
Deadline for applications to present academic reports - January 20, 2025