Category: Novosibirsk State University

Translation. Region: Russian Federal

Source: Novosibirsk State University –

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The NSU Advanced Engineering School has launched three unique advanced training programs within the framework of the national project "New Materials and Chemistry". These courses are aimed at training specialists capable of solving critical import substitution problems in high-tech industries. The training is free thanks to a state subsidy.

The national project "New Materials and Chemistry" sets an ambitious goal: to achieve technological independence of Russia in the production of chemical products, advanced materials and rare earth metals by 2030. To do this, it is necessary to train a new generation of personnel – engineers who are proficient in digital design tools and capable of implementing innovations.

NSU PISh was among the winners of the competition of the Ministry of Education and Science of the Russian Federation for the provision of subsidies for the implementation of educational programs. Director of NSU PISh Sergey Golovin noted:

— The training of elite engineers is carried out through a project approach with the participation of high-tech companies. These courses are a tool for closing the personnel shortage in strategic sectors of the economy.

The courses were developed jointly with industrial partners – enterprises of the petrochemical cluster, and cover popular areas of CFD modeling.

Basic Course on Modeling Flow Dynamics in Ansys Fluent CFD Package 

The ANSYS software suite is an advanced suite of computer-aided engineering modeling tools that uses the finite element method.

The main objective of this course is to introduce students to the basic principles of CFD (computational fluid dynamics) modeling. Three main stages can be distinguished: preprocessing — preparation of a geometric model, creation of a finite element mesh, setting the physical properties of the medium, initial and boundary conditions; calculation stage, postprocessing — visualization and interpretation of the obtained calculation results, assessment of the adequacy of the selected model. The course covers all stages of hydrodynamics modeling in the Ansys environment. As a result, each participant in the program will be able to solve several problems from start to finish using the Ansys Fluent package.

Video about the course 

Computer simulation of reactive flows in the Ansys Fluent software package

Ansys Fluent can be used to simulate a wide range of chemical processes.

There are several approaches to mathematical modeling of chemical processes. This course examines an approach that simultaneously calculates both flow hydrodynamics and chemical transformations. This is possible using the Ansys Fluent package, a modern and versatile software suite that allows you to take into account the flow of the medium, the thermal processes that occur during this, as well as chemical transformations during reactions and combustion. Students will not only learn about the theoretical foundations of mathematical models, but will also solve several problems – from creating a geometric model and constructing a grid to performing calculations and processing the results.

Video about the course

Course on modeling heat transfer processes in the CFD package Ansys Fluent

All types of heat transfer, such as conduction, convection and radiation, can be calculated in the Ansys Fluent software package.

There are three types of heat exchange: conduction, convection and radiation. The course offers basic mathematical models for all of the above processes. Using the example of such problems as mixing liquids of different temperatures, heating a thick-walled closed metal cell with air, and propagation of a rectilinear radiation beam, students will learn about choosing physical models in the Ansys Fluent PC, setting the physical properties of the medium for such problems, and will gain experience in solving them and processing the results. The course will be an excellent starting point for modeling heat exchange problems in hydrodynamics.

Video about the course

The courses are designed for students and citizens of the Russian Federation with higher or secondary specialized education. All programs are conducted remotely with a flexible schedule. Upon completion of training, participants receive a state-issued certificate of advanced training.

You can choose a course and register by link

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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Translation. Region: Russian Federal

Source: Novosibirsk State University –

An important disclaimer is at the bottom of this article.

On Monday, July 21, Deputy Prime Minister of the Russian Federation – Chief of the Government Staff Dmitry Grigorenko visited the Novosibirsk Region on a working visit. One of the items on the agenda was a visit to Novosibirsk State University, where guests were presented with developments of the Center for Artificial Intelligence (CAI) and the Advanced Engineering School (AES) of NSU.

During the meeting, the rector of NSU, academician of the Russian Academy of Sciences Mikhail Fedoruk, introduced the vice-premier to the history of the university, told him what is special about NSU, what it is now and what are the plans for the near future. He noted the special role of the university as a center of attraction for innovations and its contribution to the development of Akademgorodok, Novosibirsk and the country as a whole. Mikhail Fedoruk also emphasized that all the main strategic technological projects that the university is implementing within the framework of the Priority 2030 program are somehow related to new technologies and artificial intelligence.

The AI Center employees, in turn, presented a number of projects that are at various stages of readiness. In partnership with Rostelecom, a whole line of video detectors is being developed that monitor various situations that require the intervention of emergency and city services.

Currently, about two dozen such detectors have been created, some of which have already been installed for testing in real conditions at the university campus facilities. In the future, the developers want to move on to creating detectors capable of tracking several specified signs or threats at once in order to optimize the operation of video surveillance systems.

A prototype of an autonomous intelligent assistant for visually impaired and blind patients was also presented, operating on the basis of using large language models and artificial intelligence technologies. This is a joint development with another industrial partner of the AI Center – the Novosibirsk branch of the Federal State Autonomous Institution "NMITs "MNTK "Microsurgery of the Eye" named after Academician S.N. Fedorov" of the Ministry of Health of the Russian Federation.

— The principle of operation of this system is simple: a video camera will “see” instead of a person, the information from which will be sent to a portable computer, which will convert it into text. Then the text description is converted by a voice assistant and sent through headphones directly to the patient, — explained the head of the project at the NSU Center for Information Technologies Alexey Okunev.

Another area of work is related to monitoring atmospheric and noise pollution in municipalities. Here, the partner of the NSU Center for Informatics and Information Technologies is the Novosibirsk company CityAir, which specializes in the production and maintenance of networks and services for monitoring the quality of atmospheric air. Together with the university, the company intends to more widely implement artificial intelligence technologies in its work, thereby increasing the capabilities of the supplied equipment.

The NSU Advanced Engineering School has presented a “digital core” project for oil companies. NSU is the lead organization of a consortium that won a grant of 210 million rubles to develop digital core methods, an innovative tool that will help the Russian oil industry improve the efficiency of extracting hard-to-recover oil and gas reserves. The research will be conducted using the latest synchrotron, the Siberian Ring Photon Source (SKIF), located in the science city of Koltsovo.

— The subject of digital core combines the most advanced methods of mathematical modeling, experimental research techniques and data processing. The unique capabilities of synchrotron radiation will allow us to close these areas, making it possible to instrumentally track the impact of various methods of increasing oil recovery on rock and choose the most optimal scenarios for developing hard-to-recover oil and gas reserves, — commented Sergey Golovin, Director of the Advanced Engineering School of NSU, Professor of the Russian Academy of Sciences.

Dmitry Grigorenko highly praised the developments presented to him, while emphasizing that any remarkable results should not remain “a thing in itself,” and it is necessary to move on to their implementation in the real sector of the country’s economy as quickly as possible.

— Such visits by representatives of the country's leadership are very important for us. We get the opportunity to tell the top officials of the state about the results of our work, to understand from their reaction how relevant our developments are and, in case of a positive assessment, to receive support in implementation, which today is one of the most difficult barriers for most developers, — commented on the results of the visit the director of the NSU Center for Information Technologies Alexander Lyulko.

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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Translation. Region: Russian Federal

Source: Novosibirsk State University –

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The festival was created with the aim of uniting student families, as well as rectors, vice-rectors and specialists responsible for the implementation of family policy in universities. A pair of young scientists, Tatyana and Danil Sboev, had the opportunity to represent NSU at the first All-Russian Festival of Student Families. Tatyana completed her first year of Master's degree Physics Department of NSU, and Danil is a 1st year postgraduate student Faculty of Mechanics and Mathematics of NSU.

— It was an honor for us to represent Novosibirsk State University at the All-Russian Festival of Student Families. Participation in the festival is, first of all, new acquaintances. We talked with the rector and vice-rector of Buryat State University, exchanged experiences and ideas in the field of supporting families within the university, — said Tatyana.

During the festival, a plenary session was held, at which the Chairperson of the Federation Council Valentina Matviyenko, Deputy Chairman of the Russian Government Dmitry Chernyshenko and the Head of the Ministry of Education and Science of Russia Valery Falkov told students in a question-and-answer format about measures to support young families.

— The program was very busy. Unfortunately, we were able to attend only the first day of the festival. But during that day we managed to participate in a quiz dedicated to family traditions, where our team took second place, and we received many memorable prizes, and also participated in a master class on psychological well-being of the family. Among other things, the festival provided an opportunity to voice the questions and problems that young student families face. At the plenary session, we asked a question that concerns us as a family of young scientists, and we hope that measures to support the families of young scientists will be developed at the state level, — Tatyana added.

During the plenary session, Valentina Matvienko personally invited Tatyana and Danil to take part in the V Congress of Young Scientists, which will be held from November 26 to 28, 2025, in the federal territory "Sirius" of Krasnodar Krai. The event is part of the national project "Youth and Children".

— I liked the festival. We met other student families, exchanged experiences, what kind of support universities offer when entering into marriage. I liked the quiz about family values and traditions. There were guys from Penza, Lugansk and Skolkovo on our team. In addition, despite the busy festival program, Tanya and I managed to take a short walk around summer Moscow, — Danil shared.

Material prepared by: Varvara Frolkina, NSU press service

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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Translation. Region: Russian Federal

Source: Novosibirsk State University –

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The 10th National Forum of the Rehabilitation Industry and Universal Design "Hope for Technology", dedicated to demonstrating comprehensive solutions for creating an accessible environment, modern technologies for people with disabilities, was held in Moscow on July 10-11. The large-scale exhibition display of Russian manufacturers presented more than 450 domestic solutions in 9 areas: prostheses, orthoses and functional units, rehabilitation equipment and exercise machines. The biomechanics and medical engineering group of the Novosibirsk State University, which consists of students from several faculties, presented its developments to the professional community. This scientific group was created on the basis of Mathematical center in Akademgorodok

The exhibition of assistive technologies was attended by the head of the group, candidate of physical and mathematical sciences Vladimir Serdyukov, 4th year students Faculty of Mechanics and Mathematics of NSU Daria Korostovskaya and Alexander Niukkanen, 3rd year student Faculty of Mechanics and Mathematics of NSU Tatyana Shashkina, 5th year student Institute of Medicine and Medical Technologies NSU Sofia Eksharova, 2nd year master's student Faculty of Mechanics and Mathematics of NSU Andrey Karavan, Master's degree graduate Faculty of Geology and Geophysics of NSU Innokenty Serdyuk and postgraduate student of the Institute of Thermal Physics SB RAS Konstantin Lebeda. Young researchers got acquainted with developments in the field of assistive technologies, learned a lot of interesting things, showed the results of their projects, received feedback and acquired valuable contacts for further cooperation.

At their stand, the young researchers presented a motion capture system for studying the kinematics of patients’ walking, as well as an adaptive prosthetic socket for a hand prosthesis using 3D printing technology.

The group also presented its latest developments: a 3D-printed prosthetic foot for activity levels 1–2 and insoles for gait biomechanics diagnostics for amputees, which will complement and improve the motion capture system.

— The most feedback was received by one of our new developments, which was tested for the first time at the forum — a foot prosthesis printed on a 3D printer. Working on this project, we set ourselves the following goal: to make a foot prosthesis that would have a low cost, be easy to manufacture, have the ability to be personalized and manufactured in a short time using simple equipment, which would increase its availability, but at the same time maintain the general biomechanics of walking. An important point is that our prosthesis belongs to activity levels 1-2 and is intended only for walking, but is not suitable for running or sports. To develop the geometry, a digital stand was used that imitates human loads when walking. This way, we were able to create a prosthesis geometry that meets the goal, — said Andrey Karavan.

For the precise design of the prosthesis, 3D modeling and load analysis technologies in Ansys were used. Manufacturing using FDM printing technology took about 12 hours. The weight of the finished product was about 700 grams. This project received financial support from the Ministry of Science and Innovation Policy of the Novosibirsk Region.

The first time a patient tested a printed prosthesis was at the forum. The guys offered to test and evaluate it to the head of the prosthetic center "Instep" (St. Petersburg), who is an amputee himself.

— He liked that the sole is non-slip – even on wet floor tiles, which allows the user to take a shower without the risk of falling. However, he pointed out the shortcomings and shortcomings regarding the geometry of the product and made constructive suggestions for its improvement. His opinion is very important to us, and taking this feedback into account, we will adjust the prosthesis model and organize re-testing on other amputees. It will not be difficult to make adjustments due to the simplicity of the technology, — explained Daria Korostovskaya.

Another new development of the NSU biomechanics and medical engineering group attracted great interest from the forum participants — a pressure insole that will accurately determine the step phases and gait asymmetry. This “smart” insole was previously tested together with a motion capture system for analyzing gait kinematics. The invention will allow specialists in prosthetic centers to analyze the distribution of the load between healthy and amputated limbs, evaluate the distribution of pressure on the foot or prosthesis, and the dynamics of rehabilitation outside the clinic. This project received support from the FSI Foundation as part of the Student Startup competition.

— The video we recorded while testing this insole shows the distribution of the load on the foot when walking. It is important that it allows us to divide the gait cycles into support and transfer phases. We have the opportunity to analyze their ratio and draw conclusions about the gait asymmetry indicator of amputees, which is important for monitoring rehabilitation and correct placement of the prosthesis. When diagnosing the biomechanics of amputees' gait, such insoles are placed in shoes under both the patient's healthy foot and the prosthesis. To transmit and read data from the insole, we developed software for processing and visualizing the data, — said Tatyana Shashkina.

Young researchers plan to combine the motion capture system with a "smart" insole. During early research, the guys came to the conclusion that combining these technical solutions will allow for a more complete gait analysis. The motion capture system records the kinematics of the gait, and the insole records the pressure of the foot and prosthesis on the surface. By combining these data, it is possible to track the biomechanical indicators and symmetry of the patient's gait, which is of great importance for assessing the progress of rehabilitation and adjusting the prosthesis settings.

This development has attracted great interest from representatives of prosthetic centers, some of whom have expressed interest in testing it in their institutions and working together. Among them are the Alorto prosthetic and orthopedic center (Barnaul) and the Ortho-Innovation prosthetic center (Moscow).

— We will be glad to cooperate with these and other prosthetic centers, including because during joint testing we will be able to replenish the database of gait kinematics of patients with lower limb amputations, which we are currently forming in the course of joint work with the Novosibirsk branch of the Moscow Prosthetic and Orthopedic Enterprise. In addition, at the forum we received a request to develop an adaptive prosthetic socket for a leg using 3D printing technology, similar to our existing development of a prosthetic socket for an arm. This is exactly what we intend to do in the near future, — Vladimir Serdyukov summed up.

Material prepared by: Elena Panfilo, NSU press service

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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Translation. Region: Russian Federal

Source: Novosibirsk State University –

An important disclaimer is at the bottom of this article.

On July 10, Novosibirsk State University hosted a fascinating economic quest, “Knowledge — Money,” in which 65 high school students from different schools in Novosibirsk took part. It was not just an intellectual challenge, but also a real immersion into the world of economics, where knowledge, logic, and teamwork become the key to success.

The quest was organized by the public organization "Laboratory of Economics and Business" with the support of Faculty of Economics, NSU, the “First” movement and the low-rise eco-quarter “Spectrum”.

—The Laboratory of Economics and Business was created three years ago. Our mission is to develop schoolchildren's interest in economics and to form a culture of systems thinking. The first event we held last year was a course of lectures and interactive seminars "Basics of Economics and Business for Schoolchildren". Instead of the planned 20 people, more than 60 took part in it. We realized that schoolchildren have a huge interest in economics and new educational formats. This is how the idea of a quest was born, which we decided to hold in the summer, — said Dmitry Markov, a lecturer in the Department of Management of the Faculty of Economics of NSU, head of the laboratory.

The participants united into 14 teams, each of which went through 13 stations in four thematic "economic laboratories" in three hours. At each station, the teams passed tests on knowledge, logic and ingenuity, solved problems of varying difficulty levels and earned points. The maximum for each station was 100 points, and at the end the strongest team was determined.

1. Systems Analysis Laboratory

The children were given tasks that clearly demonstrated the importance of a systematic approach to solving problems. A crossword, a fillword, and a Japanese puzzle called "Bridges" — all of this forced the participants to think logically, find patterns and relationships. And most importantly, it helped them better understand how economic processes are structured in reality.

2. Laboratory of Economic Intuition

Here, participants encountered economic puzzles, asset turnover tasks, and cases that required filling in missing terms. These tasks helped participants not only remember the terms, but also understand how they work in the context of business and finance.

3. Business Analytics Lab

It turned out to be the most difficult — and, perhaps, the most educational. The kids had to understand the financial statements of the Magnit retail chain, pass tests on formal logic, and solve numerical problems that are used when hiring in large financial companies. This gave the schoolchildren the opportunity to “try on” the role of a business analyst and understand how interesting and in-demand this profession is.

4. Bipolar Laboratory

This lab turned out to be the most creative and memorable. Participants had to not only think, but also act:

Assemble a product according to the technical specifications from a construction set. Assemble a puzzle from the logos of famous brands and compare them with the companies' missions. Restore the system by analogy with the game "Tetris". Assemble slides with company analytics to create a complete picture.

These tasks developed not only logic and economic thinking, but also teamwork skills, attentiveness and creativity.

Each laboratory had its own curators, who were students from the Faculty of Economics of NSU.

Artem Bezrukov commanded the business analytics laboratory.

— Three stations: calculation tasks, a logic storm and a hellish quiz on financial reporting. I thought that my stations would be the hardest for the participants, but the guys turned out to be great! We were especially impressed with the financial reporting of Magnit. We compared profitability, revenue, turnover — like analysts with real cases! Honestly, I thought that out of 100 points our maximum would be 50, but I was pleasantly surprised by other results!) I admit, the logic test turned out to be the most tricky. Only two teams were able to solve it 100 out of 100! Apparently, numbers are closer to them than puzzles.) Even my fifth-graders learned to calculate profitability! — said Artem.

Kira Kurmasheva was responsible for the bipolar laboratory.

—We had a great time and enjoyed it as much as the quest participants. Our lab had the most stations — four. All the tasks in my lab were interactive, the kids were asked to assemble a flower from a construction set, restore economic slides, assemble puzzles with logos of famous companies, and solve a riddle. All the tasks were quite easy, but very interesting. Our lab had the highest average score for the quest.

I am very glad that our event attracted so many children from all over the region. During the game, I received a lot of positive feedback about the quest. I hope that I will participate in many more similar projects from the laboratory of economics and business! – Kira shared.

As a result, all teams completed all stations, showed good results and acquired valuable skills. The winner of the quest was the team "EkoMi", which scored the highest number of points.

All participants were awarded raffle tickets and delicious pizza, which was a pleasant end to a busy but exciting day.

Here's what the event participants thought about the quest.

Taisiya Gershun, 8th grade, OC "Gornostay":

— Although I was never particularly interested in economics, the quest even made me think about enrolling in the economics department! An interesting format that helps to apply knowledge from economics in practice. During the quest, you learn to work together and make decisions quickly. It was especially interesting to solve economic puzzles and solve different problems. At the end, there was an announcement of the winners and pizza!!

 

Vladimir Rimmer, 9th grade, Lyceum No. 130:

— My mother signed me up for the quest, for which I am very grateful to her. I got a lot of new emotions, made new acquaintances. I really liked the idea itself, the organization and, of course, the surprise in the form of pizza after the end. If I were to rate the quest on a ten-point scale, it would definitely be 10 out of 10!

 

Daria Rakova, 9th grade, OC "Gornostay":

— Overall, the event was interesting and useful. The tasks were varied, you had to think and act. I especially liked two things: bridges and a crossword puzzle. These logic tasks are just super, and everything was exciting with the team. Overall, I spent my time usefully, learned something new and laughed.

 

The Laboratory of Economics and Business is already drawing up a plan for future events, where schoolchildren not only gain new knowledge, but also come into contact with university life.

— The guys spent the whole day at NSU, got to know the university, its teachers and students better. We are sure that many of them will choose NSU as the place of their admission and further education, — Dmitry Markov emphasized.

 

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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Translation. Region: Russian Federal

Source: Novosibirsk State University –

An important disclaimer is at the bottom of this article.

The basic model of an autonomous intelligent assistant for visually impaired and blind patients was presented to Deputy Prime Minister of the Russian Federation — Head of the Government Staff Dmitry Grigorenko during his visit to Novosibirsk State University. The device is being developed using large language models and artificial intelligence technologies.

The idea of the development belongs to the Novosibirsk branch of the Federal State Autonomous Institution “National Medical Research Center “Microsurgery of the Eye” named after Academician S.N. Fedorov” of the Ministry of Health of the Russian Federation, which, together with scientists Research Center in the Field of Artificial Intelligence of NSU (NSU AI Center) creates a new device designed to make it easier for visually impaired and blind people to navigate in space using modern technologies.

As noted by the director of the Novosibirsk branch of the Scientific and Technical Complex "Microsurgery of the Eye", professor, doctor of medical sciences Valery Chernykh, today there are various approaches related to the possibility of giving a blind person a chance of functional orientation in the surrounding space, his adaptation and rehabilitation with the possibility of actively and independently living a full life.

First of all, these are social and rehabilitation-educational programs that require quite large financial investments. In addition, over the past 20 years, scientists from various countries have been attempting to implant expensive and high-tech chips either into the retina or directly into the occipital part of the cerebral cortex, which is responsible for the function of vision. These are very complex and expensive operations with a high risk of complications and, unfortunately, with a fairly low percentage of effectiveness, since the results obtained do not last long. Several such operations have also been carried out in our country, the results of which cannot yet be considered satisfactory.

— Considering the active development of technologies related to the capabilities of artificial intelligence, the idea was born to use the auditory analyzer of the brain for human orientation in space. When a person reads a book or listens to an audio recording, certain images of objects, etc. are formed in his brain. If a visually impaired or blind patient is given the opportunity to determine the distance to an object (doorway, window, vehicle), its size, etc. through the auditory analyzer, this will certainly help him in real life and adaptation in the social environment. Considering the previous successful experience of joint work, we decided to join forces with scientists from the Research Center for Artificial Intelligence of the Novosibirsk State University in order to create such a technology that should be autonomous and not use the Internet, — said Valery Chernykh.

At the first stage, the developers create a prototype of the device and train the model in accordance with the tasks set, which is actively carried out by the formed working group, which includes scientists from the NSU AI Center and the Scientific and Technical Complex "Microsurgery of the Eye".

— We use large language models to help this category of patients analyze the surrounding space — to create a guide for them that could give a concentrated verbal description of all objects in front of the user. The principle of this system is simple: a video camera will “see” instead of a person, the information from which will be sent to a portable computer, which will convert it into text. Then the text description is converted by a voice assistant and sent directly to the patient through headphones. This message provides the basic information that the user needs to know to navigate in space, — explained Alexey Okunev, head of the project at the NSU AI Center.

The device is developed using a multimodal language model, which allows it to already provide a fairly high-quality verbal description of surrounding rooms and objects. In the future, the user will be able to ask clarifying questions about the observed scene and receive detailed answers to them. This language model also perfectly recognizes texts, reads inscriptions, signs, obstacle warnings, etc.

Currently, a basic model has been created, a prototype of the device will be ready by the end of 2025. This is a compact wearable system consisting of a single-board 16-core computer placed in a shoulder bag, a video camera (for example, GoPro) and headphones. The device will be equipped with a battery, and all elements will be connected by wireless communication channels. The user will hold the video camera in his hand and point it in the desired direction. The total weight of the device with the battery will be about 1 kg.

According to the experts of the NSU Center for Information Technologies, it will take more than one year to develop the final product ready for replication, and now they are at the very start of the project. This concerns both the technical part and the training of artificial intelligence. After the prototype is created this year, long-term work will begin on setting up the device, setting modes, collecting a database and training AI.

The developers plan to teach the AI to prioritize information delivery, highlighting from the entire video sequence the details that are most important for the visually impaired person to orient themselves in space and assess the surrounding environment depending on the situation. It is assumed that the device will have several operating modes: a movement mode for moving in space, a reading mode for working with text documents, etc.

It will also be necessary to train a blind or visually impaired patient to work with the device in various modes and adapt it to new capabilities. As noted by the Scientific and Technical Complex "Microsurgery of the Eye", at this stage, the work of not only ophthalmologists, but also specialists in the field of neurophysiology will be required. And the third task that will need to be solved is the need to create a specialized ophthalmological rehabilitation center to prepare blind patients directly for working with the device.

“The creation of such a device is of interest in the ophthalmological community as an extremely relevant and necessary area, the implementation of which will enable blind patients to adapt to the environment, which is a socially significant project,” concluded Valery Chernykh.

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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Translation. Region: Russian Federal

Source: Novosibirsk State University –

An important disclaimer is at the bottom of this article.

The Summer School for Young Programmers was organized in 1976 in Novosibirsk. For 50 years, the school has been gathering talented children interested in programming. This year, 66 schoolchildren were selected to work in teams on a project for two weeks. Scientific, production and educational workshops in 11 areas were organized for the children. Each workshop employs 4 to 8 schoolchildren. Classes are held in NSU classrooms under the guidance of experienced mentors, both doctors and candidates of science, employees of IT companies, and graduate students and students of the university.

The mentor of the workshop, which studies the Lisp programming language, candidate of physical and mathematical sciences, associate professor Boris Leonidovich Faifel teaches information disciplines at the Saratov State Technical University named after Yu. A. Gagarin. Since 2011, he has been coming to Novosibirsk to share knowledge and work on a joint project with the participants of the summer school.

— Lisp is my old love. Thanks to this programming language I ended up in Novosibirsk, which makes me very happy. And every year it is the greatest pleasure for me to be here. The school has a wonderful team and wonderful guys, it is very pleasant to work with them. And I like that they already consider me one of their own here, although I came from far away.

Once I was in Yerevan, put on a T-shirt with the school logo and went for a walk. Suddenly a young guy and girl came up to me and said: "Are you from LSHU? We remember you!" It was very nice, now I keep this T-shirt as a relic. LSHU is a long-standing tradition, this year it is 50 years old, and I joined relatively recently, and for me it is a great honor to be part of this famous school, – said Boris Faifel.

For Doctor of Physical and Mathematical Sciences, Professor of NSU Alexander Guryevich Marchuk, this is an anniversary school; he has been a scientific supervisor for young programmers for 25 years.

— We have some truly wonderful kids coming to us. In two weeks, we give them not only a large amount of knowledge, but also the main thing is that they want to learn something new themselves. The goal of our school is to attract more and more young talents. This year, we have had kids we have known and loved for a long time, and new ones who have interest in their eyes. We hope that next year there will be even more of them, — Alexander Marchuk shared his impressions.

Summer school participant Vera Lichman began studying programming in the third grade, now she has finished the seventh grade and entered the Physics and Mathematics School at NSU. In elementary school, the girl discovered the Scratch programming language, later Python and other languages. At the Physics and Mathematics School, the girl wants to study mathematics in depth in order to later enter NSU and become a research mathematician.

— This is my fourth summer school. I think that it will be, as always, very interesting and useful. What I especially like here is the atmosphere of mutual understanding, helping each other. The masters do not get angry if they have to repeat something a second, third, or even tenth time. This year I got into a workshop where we will learn to model various processes using Petri nets and moving chips between areas. I hope that I will gain a lot of useful knowledge, — Vera added.

The children will have overview and educational lectures, excursions, preparation of creative numbers, master classes and competitions on the problems of modern informatics and other scientific areas, because one of the goals of the LSHU is to develop erudition in schoolchildren. The final stage of the work is a scientific and practical conference and demonstration of completed works in workshops.

— I would like to note that we always choose workshop areas that are promising in scientific terms and interesting to our masters. Students in diverse workshops create a lot of worthy projects. For example, last year a boy who had just entered the fifth grade made the game "Sokoban" in the Logo programming language. Also last year there was a workshop on creating a model based on TRIZ, in the framework of another the guys wrote a compiler and a virtual machine. Back in 2001, when robotics for children in Russia was not yet known, our guys connected a LEGO robot to a computer through a device and "brought it to life". In 2004, a team of schoolchildren made a client-server development – a tic-tac-toe game on phones via satellite communication. We can talk for a long time about the developments of our guys, every year there are different and interesting projects, — said the head teacher-coordinator of the LSHUP, senior lecturer of the Programming Department, associate professor of the Department of Discrete Mathematics and Computer Science Faculty of Mechanics and Mathematics of NSU Tatiana Tikhonova.

The workshops have only recently begun working on the projects; they will be presented on the last Saturday of July, the 26th.

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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Translation. Region: Russian Federal

Source: Novosibirsk State University –

An important disclaimer is at the bottom of this article.

Starting in the 2025/2026 academic year, Novosibirsk State University will launch training aimed at preparing highly qualified specialists in the field of applied artificial intelligence for the innovative economy. Students of the new program will write their own neural networks, master and develop new methods and technologies in the field of applied programming, as well as collect, process and analyze their own data sets. In the future, graduates will create products based on deep machine learning and apply the acquired knowledge in various fields of activity – from the banking sector and various high-tech companies to personalized medicine. The training of top specialists is carried out on the initiative of the Ministry of Digital Development of the Russian Federation with the participation of the Analytical Center under the Government of the Russian Federation.

These programs are based on modern employer requirements for highly qualified specialists, determined with the participation of dozens of Russian companies – leaders in the IT sector and leading universities.

The training will be focused primarily on practical results. From the first years, students will be involved in solving product problems of IT business, will be able to study cases and experience of the industry, participate in the work of project teams, master classes, undergo practical training and mandatory internship in leading IT companies and research institutes.

Companies invest in the development and implementation of programs with their own resources. More than 30% of all classroom classes with students will be conducted by invited experts from the industry, leading developers, engineers and researchers. Business representatives will act as mentors for students, become conductors of advanced knowledge, trends in the development of domestic IT technologies, help students get acquainted with corporate culture and real requirements for employees.

Training in close cooperation with industry partners and IT companies, including the anchor partner, one of the leaders of the Russian IT market — the multidisciplinary IT holding T1, as well as the Russian developer of operating systems "Alt", will not only prepare graduates for a successful professional start, but also give them the opportunity to apply for leading positions in large industry and technology companies. The knowledge and practical experience gained with modern AI solutions will provide students with subsequent rapid career growth.

More information about the Applied Artificial Intelligence program presented on the website 

All details about admission to the program and deadlines for submitting documents can be clarified in the NSU IIR consulting group:

7 (383) 373-96-52

Consult@nsu.ru

VK group

Reference:

Since 2025, within the framework of the federal projects "Artificial Intelligence" and "Personnel for Digital Transformation" of the national project "Data Economy and Digital Transformation of the State", the Ministry of Digital Development of the Russian Federation, with the participation of the Analytical Center under the Government of the Russian Federation, has been implementing two projects to train students in educational programs for top specialists in the field of information technology and artificial intelligence.

The projects provide training for graduates with advanced competencies in the field of information technology and artificial intelligence: developers of advanced IT solutions, AI models, algorithms, analysts and data researchers. The key condition for the participation of universities in the projects is the active involvement of employers in the training process, including attracting co-financing from businesses.

Within the framework of these projects, in 2025, 36 universities from 20 constituent entities of the Russian Federation will accept more than 6 thousand students for training. By 2030, 13.7 thousand students will complete their training.

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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Translation. Region: Russian Federal

Source: Novosibirsk State University –

An important disclaimer is at the bottom of this article.

A delegation of businessmen from the Republic of Tajikistan, representing the financial and insurance sectors, visited the new campus of NSU, which is being built within the framework of the national project "Youth and Children". During the visit, a meeting was held with the management Faculty of Economics to discuss the development of cooperation with the Central Asian republic.

The businessmen appreciated the high level of infrastructure being created on the university campus. The delegation attended lectures in large auditoriums and were impressed by the scale and high level of organization of the educational process.

— This is not just a modern building — it is a real world-class scientific center. I was particularly impressed by the high quality of the infrastructure, comfortable classrooms and an atmosphere conducive to learning and scientific activity. Such campuses create not just an educational environment, but a space for the formation of future leaders of science and technology, — emphasized Ayubjon Nasirov, founder and current head of the insurance organization Eskhata Sugurta.

During the meeting with the leadership of the Faculty of Economics, cooperation between universities of Tajikistan and NSU was discussed in several key areas:

· Training and retraining of personnel in technical and economic specialties.

· Joint scientific research, in particular in the field of information technology, digital transformation of business and medicine.

· Internships and student exchanges, which are especially important for practical training and international experience.

— We would like to pay special attention to the development of the Olympiad movement and work with gifted children. We are very interested in the Physics and Mathematics School (SUNC NSU), which has been successfully working with talented schoolchildren for many years. Many of our schoolchildren — winners of republican Olympiads — studied and successfully graduated from your university. It is important not only to preserve this tradition, but also to develop it, expanding the access of talented youth of Tajikistan to your educational programs, — explained Ayubjon Nasirov.

Thus, the deputy dean of the economics department of NSU Naimdzhon Ibragimov at one time got to the university through the PhMS. In 1981, he won the republican Olympiad in mathematics in Tajikistan, after which he was offered to enroll in the summer school at the PhMS. In 1983, he graduated from the physics and mathematics school and entered the EF NSU.

As noted by businessmen, NSU is distinguished by a high level of academic and scientific training, powerful infrastructure, as well as deep integration of science, education and innovation. Also, the trend of recent years is the strengthening of cooperation between the university and companies and enterprises from various industries.

— In Tajikistan, we are also actively developing the higher education system, but here, at NSU, we saw an example of how a university can become a center for technological and economic development in a region. We were especially impressed by the close connection between the university and business, which allows us to quickly adapt educational programs to the needs of the labor market and ensure that graduates are in demand, — added Ayubjon Nasirov.

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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Translation. Region: Russian Federal

Source: Novosibirsk State University –

An important disclaimer is at the bottom of this article.

A system for automatic recognition and transliteration of texts in classical Tibetan, focused on old printed documents made using Tibetan syllabic writing, which goes back to the ancient Indian Brahmi script, was created by a student of the Fundamental and Applied Linguistics program working at the Institute of Mathematics and Mathematical Geophysics of the Siberian Branch of the Russian Academy of Sciences. Humanitarian Institute of Novosibirsk State University Anna Murashkina. In her research, she used images of pages of classical Tibetan texts from the 18th-20th centuries from the archive of the Center for Oriental Manuscripts and Xylographs of the Institute of Mongolian, Buddhist and Tibetan Studies of the Siberian Branch of the Russian Academy of Sciences.

— The relevance of my work is due to the need to preserve and make digitally accessible the Tibetan cultural heritage, presented in the form of many historical manuscripts. Old printed documents, manuscripts and xylographs contain unique information about philosophy, religion, medicine, history and art, playing a key role in the study of the cultural traditions of the region. This knowledge is passed down from generation to generation in Tibet. However, over time, under the influence of natural and anthropogenic factors, paper media are subject to physical destruction, which leads to the loss of priceless information and limits access to these unique materials. Currently, the Tibetan Fund of the Institute of Mongolian, Buddhist and Tibetan Studies of the Siberian Branch of the Russian Academy of Sciences contains up to 70 thousand units of chronicles that are at risk of being lost. One of the most reliable ways to preserve and systematize historical documents is to digitize them, — said Anna Murashkina.

The young researcher set herself the task of using machine learning to build a model that would recognize Tibetan alphabet symbols from images, translate them into machine-readable form, and at the same time show greater accuracy than existing open solutions, including Tesseract.

— To do this, I manually performed linguistic markup of Tibetan text lines from the IMBT SB RAS collection. Then, taking into account the specifics of Tibetan graphics, I developed a system for assessing the quality of optical character recognition (OCR). Then I compared existing architectures and chose a convolutional neural network model, which required additional training, — explained Anna Murashkina.

She implemented additional training of the model on a marked corpus of documents, and as a result, a complete modular OCR algorithm was created, including the stages of pre-processing, segmentation, recognition and post-processing.

— For me, the value of the project is that I helped digitize an archive that stores history — documents created by people of the past who wanted to pass on their knowledge to future generations. I am glad that I am helping to transfer this knowledge through time, preserve it and make it available to a wider audience. My development will be used by employees of the Institute of Mongolian, Buddhist and Tibetan Studies of the Siberian Branch of the Russian Academy of Sciences. The possibility of cooperation with the Buddhist Center for Digital Technologies, which digitizes the archives of temples and monasteries, is also being discussed. In cooperation with this organization, we will expand the possibilities of digitizing Tibetan manuscripts using open resources developed jointly with researchers from organizations in different countries, so that later everyone can touch this priceless heritage and get acquainted with the documents that are in temples and archive repositories, — said Anna Murashkina.

Material prepared by: Elena Panfilo, NSU press service

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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