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Regular version of the site

Tag «artificial intelligence»

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Illustration for news: Russian Researchers Develop Software to Predict the Location of Elements of the Human Genome

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.

Illustration for news: Scientists from HSE University in Perm Receive First Artificial Intelligence Patent

Scientists from HSE University in Perm Receive First Artificial Intelligence Patent

Aleksey Kychkin, a researcher at the Laboratory for Interdisciplinary Empirical Studies (LINES), and Oleg Gorshkov, a research assistant at LINES, received a patent for a system that predicts the spatial distribution of harmful substances in atmospheric air using an artificial intelligence unit. The invention can be used for integrated planning and notification of the risks of atmospheric air pollution by harmful substances. The work was carried out under a grant from the HSE University Artificial Intelligence Centre. The HSE News Service spoke with Aleksey Kychkin about the benefits of the new system, its application, and how it came to life.

Illustration for news: Engineering and Mathematics School Opens New Master’s Track in AI

Engineering and Mathematics School Opens New Master’s Track in AI

The Engineering and Mathematics School run by HSE University and VK is launching a new master’s track: AI Hardware and Software. The track will be part of the Master’s programme ‘Internet of Things and Cyber-physical Systems,’ and will be taught by VK experts and HSE University faculty.

Illustration for news: Researchers from HSE University and Artificial Intelligence Research Institute Train Neural Network to Learn Much More Efficiently

Researchers from HSE University and Artificial Intelligence Research Institute Train Neural Network to Learn Much More Efficiently

Neural network generative models have achieved impressive results in recent years, but researchers are still working on increasing their efficiency. Researchers from the HSE Faculty of Computer Science and AIRI have managed to optimize the finetuning of the StyleGAN2 neural network, which creates realistic images, to new domains, reducing the number of trained parameters by four orders of magnitude. At the same time, the quality of the obtained images remained high. The results of this work were presented at the NeurIPS 2022 conference.

Illustration for news: Pet a Robocat and Talk to R2D2: HSE Faculty of Computer Science Holds Robotics Fest

Pet a Robocat and Talk to R2D2: HSE Faculty of Computer Science Holds Robotics Fest

At the end of April, the HSE Faculty of Computer Science organised its first robotics festival. SBER was a partner of the event, which took place in the atrium of the HSE building on Pokrovsky Bulvar. Yandex and the National Association of Robotics Market Participants were the event's co-organisers. The guests attended lectures from industry experts and interacted with robots on interactive platforms.

Illustration for news: HSE University-VK Engineering and Mathematics School Launches Master's Programme in AI Technologies

HSE University-VK Engineering and Mathematics School Launches Master's Programme in AI Technologies

The Master’s Programme ‘Applied Artificial Intelligence Models’ trains professionals with the competencies to create industrial artificial intelligence models capable of solving a wide range of applied tasks. During training, students will study and apply modern methods and means of creating applied models using artificial intelligence technologies.

Illustration for news: Artificial Case: ChatGPT Helps HSE Lawyer Write Article for Academic Journal

Artificial Case: ChatGPT Helps HSE Lawyer Write Article for Academic Journal

Roman Yankovskiy, head of the Centre for Legal Education Transformation at the HSE Faculty of Law, academic supervisor of the Digital Lawyer programme, has written an article in a legal journal using ChatGPT. The experiment was agreed upon with the journal’s editorial board. The author explains why we need such an experience, whether artificial intelligence (AI) is up to the task, and whether we can prohibit its use in scientific work.

Illustration for news: ‘AI Is a Tool, and Those Who Master It Will Have a Competitive Advantage’

‘AI Is a Tool, and Those Who Master It Will Have a Competitive Advantage’

HSE University is hosting the FIT-M 2022 International Scientific Forum. As part of this event, the HSE Cultural Centre held a series of lectures on November 29­–30. On December 7–9, guests of the forum will have three days of practical work with scientists, IT industry leaders, businesspeople, and industry experts.

Illustration for news: HSE Researchers Contribute to Artificial Intelligence Journey Conference

HSE Researchers Contribute to Artificial Intelligence Journey Conference

The AI Journey international conference is a major platform for sharing cutting-edge innovations in artificial intelligence and machine learning. In late November 2022, AIJ was once again hosted by Sber. The conference was attended by HSE researchers from the Faculty of Computer Science and the Centre for Artificial Intelligence.

Illustration for news: Fall into ML: Autumn School and Conference on Machine Learning Held at HSE University

Fall into ML: Autumn School and Conference on Machine Learning Held at HSE University

On November 1st-3rd, 2022 the International Laboratory of Stochastic Algorithms and High-Dimensional Inference of the HSE Faculty of Computer Science and the Laboratory of Methods for Big Data Analysis with the support of HSE AI Centre and the Russian Science Foundation organized the first autumn school and conference on artificial intelligence ‘Fall into ML’. The new format of the event included a school for students and young researchers.