‘You Need to Know a Lot of Ideas and Algorithms, Come Up with Something Unconventional’
A student of the HSE Faculty of Computer Science, Andrey Kuznetsov, has become the winner of the 2024 Data Fusion Contest. He took first place in solving geoanalytics tasks, and also won the special ‘Companion’ category. The competition took place as part of the 2024 Data Fusion conference on big data and AI technologies. Researchers from HSE University presented the results of their work and demonstrated applied developments at the conference.
‘We Need to Learn to Communicate with Artificial Intelligence Services’
An online course 'What is Generative AI?’ has been launched on the Open Education platform, which will help students learn more about how to properly communicate with neural networks so that they can perform tasks better. Daria Kasyanenko, an expert at the Continuing Education Centre and senior lecturer at the Big Data and Information Retrieval School at the Faculty of Computer Science, spoke about how generative AI works and how to create content with its help.
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Artificial Intelligence Tested by Kant Philosophy
The Baltic Federal University (Kaliningrad) recently hosted an International Congress entitled ‘The World Concept of Philosophy’ in honour of the 300th anniversary of the birth of the philosopher and thinker Immanuel Kant. The event brought together about 500 scientists and experts from 23 countries. HSE Rector Nikita Anisimov took part in the opening plenary session of the congress titled ‘Critique of Artificial Intelligence: Being and Cognition in the Context of Artificial Intelligence Development.’
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).
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.
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.
‘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.
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.
‘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.
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.
Deadline for applications to present academic reports - January 20, 2025