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Regular version of the site

Tag « artificial intelligence»

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Illustration for news: HSE University to Reward Students Who Write Their Thesis Using AI

HSE University to Reward Students Who Write Their Thesis Using AI

HSE University has launched a competition for solutions using artificial intelligence technology in theses work. The goal of the competition is to evaluate how students use tools based on generative models in their 2024 graduation theses (GT).

Illustration for news: Production of the Future: AI Research Centre Presents Its Developments in Manual Operations Control Systems

Production of the Future: AI Research Centre Presents Its Developments in Manual Operations Control Systems

Researchers from the HSE AI Research Centre have built a system for the automated control of manual operations, which finds application in industrial production. The system facilitates the process of monitoring objects and actions, as well as controlling the quality of their execution.

Illustration for news: HSE and Yandex to Expand Collaboration in Training AI Specialists

HSE and Yandex to Expand Collaboration in Training AI Specialists

Over the next ten years, the partnership between Yandex and the HSE Faculty of Computer Science (FCS) will broaden across three key areas: launching new educational programmes, advancing AI research, and exploring the application of generative neural networks in the educational process. Established by HSE University and Yandex a decade ago, the Faculty of Computer Science has since emerged as a frontrunner in training developers and experts in AI and machine learning, with a total of 3,385 graduates from the faculty over this period.

Illustration for news: ‘The Goal of the Spring into ML School Is to Unite Young Scientists Engaged in Mathematics of AI’

‘The Goal of the Spring into ML School Is to Unite Young Scientists Engaged in Mathematics of AI’

The AI and Digital Science Institute at the HSE Faculty of Computer Science and Innopolis University organised a week-long programme for students, doctoral students, and young scientists on the application of mathematics in machine learning and artificial intelligence. Fifty participants of Spring into ML attended 24 lectures on machine learning, took part in specific pitch sessions, and completed two mini-courses on diffusion models—a developing area of AI for data generation.

Illustration for news: Researchers ‘Personalise’ the Selection of a Neural Network for Face Recognition on Smartphones

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.

Illustration for news: ‘Bots Are Simply Imitators, not Artists’: How to Distinguish Artificial Intellect from a Real Author

‘Bots Are Simply Imitators, not Artists’: How to Distinguish Artificial Intellect from a Real Author

Today, text bots like ChatGPT are doing many tasks that were originally human work. In our place, they can rewrite ‘War and Peace’ in a Shakespearean style, write a thesis on Ancient Mesopotamia, or create a Valentine’s Day card. But is there any way to identify an AI-generated text and distinguish it from works done by a human being? Can we catch out a robot? The Deputy Head of the HSE School of Data Analysis and Artificial Intelligence, Professor of the HSE Faculty of Computer Science Vasilii Gromov explained the answer in his lecture ‘Catch out a Bot, or the Large-Scale Structure of Natural Intelligence’ for Znanie intellectual society.

Illustration for news: Neural Network Developed at HSE Campus in Perm Will Determine Root Cause of Stroke in Patients

Neural Network Developed at HSE Campus in Perm Will Determine Root Cause of Stroke in Patients

Specialists at HSE Campus in Perm and clinicians at Perm City Clinical Hospital No. 4, have been collaborating to develop a neural network capable of determining the root cause of a stroke. This marks the world's first attempt to create such a system, the developers note.

Illustration for news: AI Assists with Fact-Checking: HSE Scientists Streamline Information Verification

AI Assists with Fact-Checking: HSE Scientists Streamline Information Verification

Specialists at the HSE AI Research Centre have developed an AI-powered fact-checking assistant. This software solution will improve the quality of working with information, reduce the risks of errors and biases, and save both time and resources. A notable advantage of the program lies in its capability to process a wide variety of statement types.

Illustration for news: HSE University and Neimark IT Campus Sign an Agreement on Launching an AI Network Programme

HSE University and Neimark IT Campus Sign an Agreement on Launching an AI Network Programme

HSE University, together with the world-class Neimark IT campus, is preparing a unique professional environment for future IT specialists: to this end, an IT school will be created in the Nizhny Novgorod region, and on September 1st, the first network degree programme ‘Artificial and Augmented Intelligence Technologies’ will be launched at HSE University in Nizhny Novgorod.

Illustration for news: Russian Scientists Develop AI Algorithm for Faster Prediction of Earthquakes and Disease Outbreaks

Russian Scientists Develop AI Algorithm for Faster Prediction of Earthquakes and Disease Outbreaks

Researchers at the HSE University AI Research Centre and Faculty of Computer Science have proposed a novel algorithm for detecting structural changes in time series. The method uses a neural network to compare various segments of a series, enabling rapid detection of changes in its behaviour. The results of their work have been presented at the 26th International Conference on Artificial Intelligence and Statistics— AISTATS (A*).

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