NSU has developed an AI service for creating audio versions of scientific books.

Translation. Region: Russian Federation –

Source: Novosibirsk State University –

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Novosibirsk State University has launched a service for automatically creating audio versions of books from the digitized collection of the University's Scientific Library. The project is based on developments by the NSU Research Center for Artificial Intelligence (AI Center) and is currently undergoing testing. Following the successful completion of the pilot project, the technology is planned to be rolled out to other libraries.

At this stage, we are talking about converting books from the university press and materials posted in the electronic library into audio format, with the permission of the copyright holders—a total of about seven thousand titles.

The audio is generated by a neural network: the text is extracted from a PDF, pre-processed, and then an audio version is created. "In the future, we plan to convert all books available in the NSU e-library into audio format. Currently, this number is around 7,000," said Evgeny Pavlovsky, a leading researcher at the NSU Center for Artificial Intelligence and a PhD candidate in physics and mathematics. According to him, the service is not intended to completely replace traditional reading, but is being created as an alternative form of access to text.

"We don't create a voiceover that completely replicates the original. It's an additional way to work with the book. For mass use, it's important that the solution isn't resource-intensive: one book takes about half an hour of processor time, and we're talking about a 16-core processor, even without a graphics card," he explained.

The service is based on the Kappa framework, developed at the NSU AI Center. It is designed for managing datasets and artificial intelligence models, testing them, and evaluating them before implementing them in workflows. The framework allows for checking the correctness of models and reducing the risk of errors or so-called AI "hallucinations." In the new project, Kappa is used to prepare training data for voiceover and collect feedback on the quality of the results.

The first hundred books have already been read in pilot mode, and the team is now awaiting feedback from the library and users. Here's one of them. examples of the service's operationNSU emphasizes that the project is being considered a technological test. Once the technology itself and the mechanisms for interacting with the library have been refined, the service may be offered to other universities and public libraries through a partner platform or in other formats. According to the developers, in terms of computing resources, audio recording of the entire collection is possible within a month, but organizational preparation and verification of the audio recording results may take up to a year.

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

The NSU Mountain Tourism Section built an igloo at the Eskimo City festival.

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Source: Novosibirsk State University –

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Mountain Tourism Section of Novosibirsk State University took part in the annual winter festival "Igloo-2026. Eskimo City," which took place in February on the beach "By the Sea of Ob." This year's event attracted a record number of participants—over 600 teams, including the NSU team.

Team leader and NSU graduate student Vsevolod Efremenko explained that participation in the festival has already become a tradition for the section:

"Firstly, because it's a wonderful way to relax outdoors, and we love that (even at -20°C). Secondly, you never know when you'll have to build an igloo. It's best not to lose that skill. Thirdly, it's already a tradition; it would be strange not to attend the festival when you participate every year," he explained.

According to Vsevolod, the 2026 festival featured particularly comfortable conditions and was likely the largest-scale event ever held:

"This year, the amount of snow allowed us to build an igloo right on the ice of the Ob Sea. We were also lucky with sunny, warm weather, so there were a lot of people, and they even built igloos in unmarked areas. The snow was perfect for igloo construction, both in terms of structure and thickness."

This year, the NSU team deliberately chose the format of a compact, yet high-quality snow house:

"This year we built a small igloo because we wanted to do everything properly and according to the rules. Next year we want to build a larger one, one that will accommodate overnight stays. I hope the weather will be just as favorable," Vsevolod Efremenko shared his plans.

He added that the team hopes to build a large igloo "for many people" if snow conditions are favorable again:

“Unfortunately, there are years when there is little of it and it is difficult to build something large,” he explained.

Team member Nika Kovaleva described the construction process in detail. First, the team determined the diameter of the future dwelling based on the height of the tallest member. Then, the children split into two groups: one cut snow bricks, the other erected the walls, fitting the blocks together. In the final stage, everyone worked together again, sealing cracks with snow debris and adding additional snow. The construction took about 3.5 hours.

According to Nika, the most difficult thing was to maintain the correct shape of the igloo – dome-shaped or spherical.

“We ended up with a shape that resembled an egg,” the participant said.

Despite this, the team successfully completed the project and was able to not only test the snow house's durability but also create a cozy atmosphere within it.

After completing the construction, the participants enjoyed tea and pancakes right inside the igloo, then went for a stroll through "Eskimo Town," checking out the other teams' homes. Nika notes that it was especially rewarding to see how creatively many of the participants decorated their snow homes:

"It was wonderful to see so many people interested in this event, and it's always a joy to see them put so much effort into decorating their igloos. The festival leaves a lasting impression, and even the fatigue from the strenuous physical work disappears."

The NSU Mountain Tourism Section plans to continue the tradition of participating in the Igloo Festival, combining practical skills development with active winter recreation and informal networking for students and alumni.

Material prepared by: Ekaterina Mukovozchik, NSU press service

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

A meeting between students and Novosibirsk Region Prosecutor Alexander Buchman took place at NSU.

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Source: Novosibirsk State University –

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Today, a meeting of students majoring in Jurisprudence was held at Novosibirsk State University. Institute of Philosophy and Law and the Faculty of Economics of Novosibirsk State University with the Prosecutor of the Novosibirsk Region, State Counselor of Justice, Second Class, Alexander Buchman. The event attracted over 300 people. The discussion focused on current issues related to the prevention of extremism and terrorism, cyberfraud, and financial scams. Alexander Efimovich also discussed why he chose the prosecutor's profession, how he began his career, and what it takes to achieve excellence in the legal profession.

At the beginning of the meeting, Alexander Efimovich, speaking about the goals of the event, noted:

"I'd like to answer your questions today and warn you against even the slightest step that could harm you and your loved ones. We're seeing a lot of text messages these days, offering various ways to make money, and committing a huge number of crimes related to fraud, drug trafficking, and so on. As a result, people are getting drawn into gang crimes, which can lead to certain consequences. I urge you to be responsible, mindful, and cautious about your actions."

New fraud methods emerge weekly, including those using new technologies such as artificial intelligence and neural networks. These days, these include not only financial pyramids and banking, but also medical centers. However, our country has the necessary legal framework to prevent such acts and establish fair punishments.

In recent years, the age of criminal responsibility for certain extremist and terrorist crimes has been lowered. Asked about the purpose of these changes, Alexander Buchman explained:

The purpose of introducing criminal liability and additional criminal statutes is to prevent young people from feeling they have impunity. It's also a form of prevention, so that everyone understands that if they commit any act, it will be a criminal offense and they won't be released. Then, accordingly, it will act as a deterrent and stop young people from committing crimes.

Giving advice on what to do if you receive offers from suspicious accounts, the regional prosecutor emphasized the need to immediately block them and contact the police or the duty unit. Furthermore, the "Youth Cyber Squad" movement operates in the Novosibirsk Region, where you can also report fraud.

Alexander Buchman eagerly answered students' questions about his work. He chose his career path in his second year of law school, when he interned at the transport prosecutor's office. He enjoyed the work and decided to pursue a career in the prosecutor's office. When asked what it takes to achieve greatness in his career, he emphasized the importance of loving your job, working hard, and embracing opportunities that arise along the way.

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

NSU is developing a method for comprehensive predictive diagnostics of age-related muscle failure.

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Source: Novosibirsk State University –

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Scientists Institute of Medicine and Medical Technologies NSU's Institute of Medical and Technical Medicine (IMMT) is developing a comprehensive diagnostic method for the neuromuscular system, which will ultimately aid in the prevention and correction of age-related muscle weakness (sarcopenia). The work is being conducted as part of the project "Comprehensive Modulation of Neuroplasticity Reserves in Sarcopenia Correction," which is part of the strategic technology project "Center for the Integration of Biomedicine and Pharmaceutics," supported by the Priority 2030 program.

The term "sarcopenia" comes from the Greek words sarcos (meat, flesh) and penia (deficiency). It refers to a progressive and systemic loss of muscle mass, strength, and function. It has now been established that it is not simply age-related muscle atrophy, a consequence of aging, but a clinically confirmed condition that can be diagnosed and treated. Sarcopenia can be caused not only by aging but also by other factors, including lifestyle, work habits, diet, and acute and chronic illnesses.

The project, implemented by NSU scientists, is based on the development and scientific substantiation of a neurocentric model for the prevention and correction of sarcopenia, based on the complex modulation of the central nervous system's neuroplasticity reserves, that is, mechanisms influencing the nervous system's ability to change structure and function in response to new experiences, learning, and changes in the environment.

NSU, with its proposed neurocentric model, is a pioneer not only in Russia but also in the post-Soviet space. Most research teams in our country and worldwide continue to develop strategies aimed directly at muscle tissue and its metabolism. The prevailing model views sarcopenia primarily as a localized muscle tissue problem, focusing on the study of mitochondrial dysfunction, cellular aging, chronic inflammation, and insulin resistance.

The dominant model recognizes the role of the nervous system as a factor in pathogenesis, such as the decline in motor neurons and the deterioration of neuromuscular transmission with age. However, placing neuroplasticity at the center of research attention and therapeutic intervention is a fundamentally new approach, which constitutes its main scientific novelty and potential advantage.

"The uniqueness of the approach proposed at NSU lies in the fact that we view sarcopenia not only as a degenerative process in muscle tissue caused by diseases, conditions, or age, but also as a result of dysfunction of the central neuromuscular control mechanisms. From this perspective, the most promising approach is to study neuroplasticity, as it underlies the restoration and maintenance of motor function. Targeted correction of nervous system plasticity, for example, through cognitive-motor training, neurostimulation, or pharmacological interventions, can become a key element in developing effective strategies to combat sarcopenia," explained Daria Podchinenova, PhD, Deputy Director for Research at the NSU Institute of Medical and Medical Technologies.

In 2025, the first stage of the project resulted in the creation and patenting of a unique, Siberian-first structured database of key clinical and paraclinical markers of sarcopenia and body composition (the ratio of various body components—fat, lean mass, muscle, water, etc.), as well as a database of neuroimaging maps (brain images obtained using various imaging methods). The uniqueness of the assembled database lies in the fundamental expansion of the diagnostic research field. The database is not limited to standard sarcopenia indicators (muscle mass, grip strength, gait speed), but was developed for the comprehensive study of sarcopenia as a systemic process. Functional diagnostics, biochemistry, and cellular immunology data are integrated within a single platform. The database is intended to form the basis for a personalized approach to the diagnosis and management of sarcopenia. In total, it contains data from nearly 3,000 patients.

Based on the collected information, NSU scientists developed a comprehensive diagnostic algorithm for assessing the neuromuscular system and key methodological recommendations for the diagnosis and application of neuroplasticity modulation methods in sarcopenia prevention and correction programs for implementation in healthcare institutions and gerontology centers.

Also, in parallel, the necessary potential elements of the diagnostic complex are being developed – key neuromarkers (BDNF, galanin, beta-amyloid, tau protein, myokines: meteorin-like protein, irisin, myostatin, FGF-21, IGF-1 metabolites, insulin), neuroimaging markers and predictors, such as the volume of gray matter in the motor areas, the thickness of the precentral gyrus, indicating a decrease in neuroplasticity and associated with the risk of development and progression of sarcopenia.

"Thanks to projects like these, NSU is developing a new strategic direction within the personalized ("7P") medicine paradigm. A longitudinal observation system has been launched at the NSU Medical Center, collecting data from the same patients over a long period of time, and unique databases have been created. Students, residents, and young scientists from the NSU Institute of Medicine and Medical Technologies are participating in this work," said Maria Matveeva, MD, Associate Professor of the Department of Clinical Health Modeling and Personalized Medicine at the NSU Institute of Medical and Medical Technologies and the project manager.

The overall project is designed to last five years, and by 2030, the plan is to develop a method for comprehensive diagnostic assessment of the neuromuscular system, including MRI protocols, biomarker panels, and approaches to modulating neuroplasticity in comprehensive sarcopenia prevention and correction programs. These are planned to be tested at partner clinical centers—with whom collaboration agreements have already been concluded—in order to identify specific, most effective methods for modulating neuroplasticity.

Active longevity is a priority for Russian healthcare, so identifying and promptly addressing the factors that can limit age-related physical activity, reduce life expectancy, and impair quality of life is crucial. Furthermore, the guidelines being developed for diagnosing and modulating neuroplasticity will help reduce rehabilitation costs through early prevention of sarcopenia and associated diseases.

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

Sports achievements of NSU students

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Source: Novosibirsk State University –

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At the end of February, several competitions of various levels were held – from regional to national – in which our students successfully competed.

The Russian Underwater Sports Cup was held in Kirov, where Alexander Stupak, a student at the Humanities Institute, competed as part of the Novosibirsk Region team. He won a bronze medal in the 4x100m relay.

An interregional fencing tournament was held in Novosibirsk, bringing together over 50 participants from the Novosibirsk, Tomsk, and Omsk regions, as well as Primorsky Krai. Artyom Tsaplin (GGF) and Oleg Tsyplakov (FF) took third place in the team competition as part of the Novosibirsk Region team. Mikhail Trofimov (MMF) also competed.

Athletes from nine organizations and guests from universities in Tomsk and Kemerovo competed for individual championship medals at the Novosibirsk Region Archery Cup among students from higher and vocational education institutions.

Nomina Sanzhieva (NSU) won the classic archery competition, and Margarita Khripko (VKI NSU) won the compound bow category.

We congratulate our students and wish them continued success in their studies and sports!

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

How the Feminine Ideal Evolved in Literature: From Helen of Troy to the Present Day

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Source: Novosibirsk State University –

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The topic of one of the lectures at the "Darwin Week" popular science marathon at NSU, held for the first time on the new campus, was "The Evolution of the Ideal: From Helen of Troy to the Present Day." Sergey Vasiliev, a lecturer at the Center for Continuous Education at the NSU Institute of Humanities, served as the expert.

Despite the sunny weather and Saturday, the auditorium was packed—interest in the humanities portion of the science marathon was no less than in the natural sciences.

At the beginning of the lecture, Sergei Vasiliev outlined the framework of the conversation:

We'll discuss only the ideal in the Western literary tradition. The world is diverse, and Eastern cultures had different ideas, but today we'll focus specifically on the Western part. We'll discuss how the ideal is embodied in literary texts, without touching on painting and sculpture. Even with these limitations, the topic remains vast—this will be just a brief introduction.

The starting point was the ancient world and the image of Helen of Troy in Homer's Iliad. However, as the lecturer emphasized, for the ancient Greeks, Helen was not the moral ideal of a woman:

"She was considered aesthetically beautiful, but the ideal woman for the ancient Greeks included fidelity to her husband, motherhood, and devotion. In this sense, Penelope from the Odyssey was closer to the ideal, waiting ten years for her husband's return, deceiving suitors and unraveling at night the shroud woven during the day."

The lecturer moved from antiquity to the Middle Ages and the phenomenon of courtly love, when the ideal of female beauty became unattainable.

"An ideal is something we strive for but never fully achieve. Courtly love is admiration for an unattainable woman, elevating her to the status of almost unattainable perfection," explained Sergei Vasiliev.

A separate section of the lecture was devoted to the 19th century—a time when ideals became increasingly contradictory. Sergei Vasiliev contrasted the culture of decadence with the Victorian tradition:

Decadence is a sense of the decline of an era. It is characterized by an admiration for what was previously considered aesthetically unappealing. The ugly begins to become beautiful precisely because it is ugly. Let's recall Baudelaire and his poem "Carrion," where a decomposing corpse is described as an aesthetic object.

Victorian culture, on the contrary, sought to aestheticize reality, despite the social contradictions of the industrial era.

"Victorians see a complex, often cruel world, but they strive to find and celebrate beauty—even in tragic images. It's an attempt to maintain an ideal in a rapidly changing world," noted Sergei Vasiliev.

The First World War, according to the lecturer, became a cultural turning point:

— From a cultural point of view, the 20th century begins in 1914. The tragedy of war destroys the idea of a single, utopian ideal.

In the era of modernism, it is no longer possible to talk about one ideal:

Modernists have different practices, different aesthetics, different notions of beauty. Symbolists extol the unattainable image of "eternal femininity." Acmeists appeal to concrete, earthly people. Futurists are more interested in machines and the urban world than in the traditional feminine image.

In Soviet literature of the 1930s, the canon of socialist realism was formed – with a clearly defined image of the working woman, the communist, the mother.

After World War II, the era of postmodernism began, where, according to the lecturer, the very conversation about the ideal became ironic:

Postmodernism asserts that everything has already happened. We're dealing with a cultural game, with quotations and parodies. You can turn to a classic image—but only to reinterpret it or even ridicule it.

At the end of his lecture, Sergei Vasiliev noted that the situation with the modern feminine ideal remains open:

It seems the era of postmodernism is drawing to a close, but it still can't seem to end. Is there a single ideal today? Probably not. The ideal was "finished" in Western culture at the beginning of the 20th century, and since then we've lived in a world of multiple versions and interpretations.

This Darwin Week lecture served not only as a historical and literary review, but also as a reason to reflect on how cultural eras shape our understanding of beauty and why the ideal always says more about the time than about the object of admiration itself.

After the presentation, the audience asked the lecturer questions; the most interesting ones were awarded gifts from the university.

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

Unexpected turns of technological progress

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Source: Novosibirsk State University –

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Vladimir Surdin's lecture, delivered as part of the "Darwin Week" popular science marathon at Novosibirsk State University, generated enormous interest—500 people gathered in the conference hall, and another 500 watched the broadcast in three auditoriums on the new NSU campus.

Vladimir Surdin is a renowned astronomer, author of over 100 scientific papers and dozens of textbooks. He is also an educator, the author of numerous popular science books and videos, and a laureate of the Russian Academy of Sciences Prize, the Belyaev Prize, and numerous other awards. The vast majority of his works are related to space in one way or another, and his "Darwinian lecture" on the evolution of the space industry, which until recently seemed stagnant, is now experiencing a return to active development.

Vladimir Surdin began his speech by noting that predicting the future of technological progress is extremely difficult. Looking at the luxury limousines of the 1960s and 1970s, who could have imagined that half a century later, "small" cars would become so popular. They could fit, besides the driver, only a briefcase or backpack. But they're also very fuel-efficient and easier to park on city streets.

Or take air travel: in the 1930s, it seemed like airships were the future, but they were quickly and confidently replaced by airplanes, and today we are witnessing the dawn of unmanned drones, which are completely different from the aviation we are used to.

"Such unexpected turns are common in the evolution of technology. And cosmonautics is no exception," Vladimir Surdin emphasized.

Until the late 1980s, it seemed that orbital stations would be the main route for the development of near-Earth spaceflight. In 1987, Spaceflight magazine published a forecast that by the year 2000, there would be approximately fifty people in orbit at any one time, the vast majority of whom would be Soviet cosmonauts. In reality, in the first decades of this century, this number was typically ten times smaller, and this was due not to the collapse of the USSR, but to the computerization and automation of many work processes, which eliminated the need for large crews.

In the 1980s, the second mainstay of technology was considered to be reusable shuttles, capable of sending both the crews of those stations and tons of payload into space. But even here, advances in electronics played a role: modern satellites are much lighter, with popular CubeSats weighing grams rather than tons, and powerful rockets aren't required to launch them into orbit. As a result, the American shuttle program was shelved for many years, and the Soviet Buran fell victim to the economic crisis, having completed only one test flight.

Looking a little beyond low-Earth orbit, it's clear that the most popular destination is the Moon, the closest large space object to us. Both humans and manned spacecraft have landed there numerous times.

"You could say we know the visible hemisphere of the Moon quite extensively. But not deeply, literally—we haven't drilled deeper than one and a half meters," Vladimir Surdin emphasized.

For decades, humanity had only photographed the far side of the Moon, and even then only sparingly. But the Chinese were the first to land there. And the result was quite unexpected. In 2013, China succeeded in sending its rover to the visible side for the first time, traveling just 100 meters. Just six years later, in 2019, their Chang'e-4 spacecraft successfully landed on the far side of our satellite, where a new version of the rover operated for several years. According to Vladimir Surdin, Chinese space exploration has been experiencing a boom in recent years, with the industry's pace of development comparable to that of the Soviet Union during its heyday.

He also recalled that during the American Apollo program, when several expeditions landed on the surface of the Moon, they brought back to Earth about 400 kg of lunar soil.

"And then a far-sighted decision was made: half the samples were distributed to leading scientific laboratories around the world for study. The other half were frozen. Half a century passed, research methods had advanced significantly, new opportunities had opened up, but there were no new expeditions to collect lunar soil. Then those reserves came in handy: they were thawed, handed over to scientists again, and in recent years a whole wave of interesting discoveries related to lunar soil has emerged," the scientist noted.

Humanity is currently setting itself a new goal: to create a manned base on the lunar surface. A number of countries, including our own, have similar projects in place. But achieving this requires solving a whole host of complex problems. These problems extend beyond the construction and operation of the base itself. Astronauts and cargo must first be delivered there, and the era of large rockets, as mentioned earlier, is over. Today, they must be redesigned.

Moreover, while engineers in a number of countries have already more or less completed the construction of heavy launch vehicles, the descent modules that will deliver the crew from lunar orbit to the surface and become their home for several weeks are still only in the design stage for all countries participating in the new "moon race."

At the same time, efforts are being focused on the development and construction of a lunar orbital base. It is seen not only as a staging post for colonizing the moon itself, but also as a convenient testing ground for various situations and nuances that may arise on longer expeditions, primarily to Mars. Until 2022, Russia also participated in this project, responsible for the station's docking ports, through which supply ships would be attached. After cooperation with us was severed, this task was assigned to engineers from the UAE. Time will tell how successfully the Arab engineering school will cope with it.

As mentioned earlier, Roscosmos also has its own separate project for a manned expedition to the Moon. However, as Surdin noted, while we've managed to maintain a strong position in orbital spaceflight, the gap is widening in more distant areas.

"For a long time, we haven't implemented projects involving launching spacecraft beyond Earth orbit. Many specialists who previously participated in such projects have retired, and they've been replaced by young people who simply don't have the experience yet. We saw the consequences of this with the Luna-25 accident. Essentially, we must now relearn from our mistakes and rebuild our competencies, and this will inevitably take time," the scientist recalled.

This is due to the constant postponements of the planned stages of Roscosmos's "lunar program."

Under these circumstances, he believes, perhaps we shouldn't engage in this race so directly. Instead of spreading resources thin on a global manned base project, it's better to focus on a narrow area and achieve results that will secure our space program a worthy position in the exploration and development of our planet's natural satellite.

Another option is to explore lunar caves. There's a popular view among experts that it's better to locate a lunar base not on the surface, but underground. This is primarily due to the high levels of cosmic radiation (on the lunar surface, it's approximately 200-300 times higher than on Earth). Moreover, such caves have recently been discovered, but only the entrances are known; no one has explored them. This is an interesting challenge for Russian cosmonautics, which has extensive experience in creating unmanned exploration vehicles, primarily lunar rovers.

Our space industry has already proven that it shouldn't be discounted even in the most challenging circumstances. As Surdin recalled, who would have believed in the 1950s that the Soviet Union, just beginning to recover from the brutal devastation of war, would become the first country to launch first a satellite and then a man into space? This, too, was a striking example of the unexpected turns in the evolution of technological progress.

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

NSU skiers won silver medals at the regional Spartakiad.

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Source: Novosibirsk State University –

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The penultimate event of the "Vigor and Health" Spartakiad for faculty and staff of higher education institutions in the Novosibirsk Region—cross-country skiing—was held. Eleven teams participated. The NSU team demonstrated excellent results and took second place, behind only the perennial leaders, the NSTU team.

The winners in the individual championship in different age groups were teachers from the Department of Physical Education:

1st place – Anastasia Trishkina and Olga Chernaya

3rd place – Sofia Zakharova and Anton Pivovarov

Also, teachers from KaffaFV competed in skiing:

Anastasia PyankovaAnna TimofeevaAnna YuzhakovaAnton MamekovAlexander SozinovAndrey TolstovVictor PetrenkoAlexey Sokorev – head of the departmentEvgeniy Korolev – IFP employee

Congratulations to the winners and runners-up on their well-deserved medals! And to the entire NSU team for their excellent performance at the "Vigor and Health" Spartakiad!

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

The winter track and field season is in full swing

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Several regional track and field competitions were held at the Koltsovo indoor track and field arena, with NSU students winning various medals.

Nikita Bosak (MMF) – 2nd place in the 400m, 3rd place in the 3000m at the Novosibirsk Region Cup and 3rd place in the 800m and 1500m at the Regional Championship

Arseniy Podosinnikov (FF) – 1st place in the 3000m race and 2nd place in the 1500m race at the Novosibirsk Region Championship among boys under 20 years old and 3rd place in the 3000m distance at the Regional Championship among juniors under 23 years old

Miron Gaskov (FIT) – 1st place (800m run) and 3rd place (400m run) among juniors under 23 years old

Lev Zhukov (MMF) – 2nd place in the 200m and 3rd place in the 60m at the Regional Championship

Ksenia Zubareva (FEN) – 3rd place (800 m run) among juniors under 23 years old

Congratulations to the winners and runners-up of the competition, and we wish you success in your next competitions!

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

NSU scientists have developed a new multi-step approach to compensating for nonlinear distortions in fiber-optic communication lines.

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A new multi-step approach for compensating for nonlinear distortions in fiber-optic communication lines based on digital backpropagation, which utilizes a sophisticated model of nonlinear effects using perturbation theory, has been developed by scientists from Novosibirsk State University. This approach was developed as part of a comprehensive research project aimed at overcoming the influence of nonlinear physical effects and random noise on optical sensors and fiber-optic communication lines. In this large-scale project, NSU scientists, in collaboration with colleagues from Ulyanovsk State University, combined photonics and machine learning, enabling the development of new methods for analyzing, optimizing, and controlling nonlinear processes, leveraging both the high-speed signal processing in optical systems and the ability of machine learning to discover and exploit hidden information. The project "Machine Learning for Applied Problems of Nonlinear Photonics," led by former NSU Rector, RAS Academician, and Doctor of Physical and Mathematical Sciences Mikhail Fedoruk, received grant support from the Russian Science Foundation last year after winning an interdisciplinary competition in the category "Conducting Fundamental Scientific Research and Exploratory Scientific Research on the Instructions (Directives) of the President of the Russian Federation."

Union of Mathematicians and Physicists

Particular attention is currently being paid to the development of "smart" lasers that can adapt to external conditions and dynamically control their parameters in real time. Such systems ensure more precise and reliable operation of optical fiber systems in challenging environments, opening up new possibilities for their application in telecommunications, industrial automation, sensors, medicine, and security systems. The project is relevant in light of the current challenges facing the telecommunications and laser industries. Optical communication lines form the foundation of digital infrastructure and support all areas related to digital technologies. Increasing volumes of transmitted data require the development of new technologies, which necessitates considering nonlinear and noise effects. The operation of many fiber laser systems is also associated with nonlinear effects, such as the Kerr effect, Raman scattering, and Brillouin scattering. On the one hand, these effects can be useful, for example, for mode locking in pulsed lasers, but on the other, they can lead to instability and destabilize the system. Machine learning methods, particularly new neural network algorithms of various architectures, can play a key role in managing this nonlinearity, said Mikhail Fedoruk.

The project aims to address the scientific challenge associated with the complexity of analyzing, modeling, and managing nonlinear and random processes in photonics, a key area of modern science and included in the list of cross-cutting technologies of the NTI Platform. Using machine learning methods to study nonlinear effects and their manifestations in the presence of random processes opens up new opportunities for improving the performance of photonic systems and creating new solutions.

"The 'Machine Learning for Applied Problems of Nonlinear Photonics' project is interdisciplinary. It was launched at the initiative of NSU and brought together the efforts of two research groups—applied mathematicians and laser physicists. The first group is affiliated with NSU, and the project's main contributors—Oleg Sidelnikov, Anastasia Bednyakova, and Alexey Redyuk—graduated from NSU's Faculty of Mathematics and Mechanics and defended their theses and then their PhD dissertations under my supervision. The second group represents Ulyanovsk State University. It is led by Andrey Fotiadi, a recognized expert in nonlinear fiber optics, fiber lasers, and sensors and a PhD candidate in physics and mathematics. Both groups are focused on modeling in two main areas. The first focuses on machine learning methods in lasers and nonlinear photonic systems, while the second focuses on machine learning methods and nonlinear technologies in optical communication lines," said Mikhail Fedoruk.

Interdisciplinary approach

Universal methods for analyzing nonlinear systems still lack a single approach, but solving many applied problems in this field requires new approaches, making the importance of this research increasingly relevant. Improving the performance of existing systems and developing new engineering concepts requires understanding and correctly interpreting nonlinear effects and their interaction with random noise. Using machine learning methods to study nonlinear effects and their manifestations in the presence of random processes opens up new opportunities for improving the performance of photonic systems and creating new solutions.

"Machine learning algorithms can adapt to changing conditions and efficiently process large volumes of data, extracting hidden dependencies and enabling real-time system performance improvement. This interdisciplinary approach, combining photonics and machine learning, enables the development of new methods for analyzing, optimizing, and controlling nonlinear processes, leveraging both the high-speed signal processing in optical systems and the ability of machine learning to discover and exploit hidden information," explained Mykhailo Fedoruk.

Smart photonics

The project team combines the expertise of two research groups, which is essential for the successful implementation of the project, namely, the development of machine learning algorithms and the creation of smart photonic devices using them. As part of this collaboration, a group of laser physicists with expertise in developing modern nonlinear and microwave photonic devices will develop functional devices and control tools. These devices will serve as testbeds for new original mathematical algorithms being developed by a group of NSU applied mathematicians with experience in modeling physical systems and applying machine learning methods to their optimization and control. The synergy between these two areas will enable not only the development of new mathematical apparatus for machine learning but also the creation of new photonic devices for real-world applications, offering fundamentally new consumer characteristics over existing analogs.

The project partner's contribution will consist of conducting preliminary laser testing experiments with the aim of transferring the results necessary for the development and testing of machine learning algorithms to the NSU team, as well as developing and implementing additional electronic control systems for the lasers' operating mode, which are necessary for the joint operation of photonic devices with trained algorithms.

Machine learning

As part of the project, the NSU team, led by Mikhail Fedoruk, will conduct a wide range of theoretical and numerical studies, which will be divided into two main research areas: "Machine Learning Methods in Lasers and Nonlinear Photonic Systems" and "Machine Learning Methods and Nonlinear Technologies in Optical Communication Lines."

The first area of focus will involve the development of neural network algorithms based on recurrent neural network architectures, transformer architectures, and reinforcement learning algorithms for implementing optoelectronic feedback in fiber laser systems. To stabilize radiation generation and control its key frequency-temporal and spectral characteristics, optoelectronic feedback based on machine learning algorithms will be implemented in fiber laser configurations. Further analysis of laser radiation using the nonlinear Fourier transform (NFT) is planned. The second area of focus involves the development of a compensation scheme for dispersion and nonlinear effects based on deep convolutional neural networks. This will be followed by the integration of approaches based on digital backpropagation and signal processing algorithms based on perturbation theory to compensate for nonlinear distortions.

Neural network algorithms

During the first year of the project, the scientists achieved important results in both of its main areas. In developing machine learning methods for lasers and nonlinear photonic systems, they conducted a range of theoretical, numerical, and experimental studies aimed at creating neural network control algorithms for a single-frequency fiber laser with an external ring resonator. They developed and implemented models based on long-short-term memory (LSTM) and transformer neural network architectures, which allow predicting the control voltage of a thermo-optical phase shifter based on a photodetector signal, simulating the behavior of a classic PID controller.

"We continued exploring new applications of NFT for analyzing optical fields in dissipative media. We considered the House-Ginzburg-Landau equation (HGLE) as an important example used for modeling laser resonators. As a result, we investigated the dependence of the generation mode type on the HGLE parameters—saturation energy and saturation power. We identified the ranges of parameter values in which HGLE solitons are close to those of the nonlinear Schrödinger equation, and demonstrated that in this case, the dynamics of a field obeying the HGLE can be described with high accuracy using only a discrete spectrum. For single-pulse modes, we described in detail the stages of generating a single-soliton solution from noise, and demonstrated the relationship between these stages and qualitative changes in the discrete spectrum parameters," explained Mikhail Fedoruk.

Neural network

Equally effective were the studies conducted within the "Machine Learning Methods and Nonlinear Technologies in Optical Communication Lines" program. A deep, complex-valued convolutional neural network was developed for modeling the propagation of optical signals in a wavelength-division multiplexed fiber communication line.

"The architecture of this network simulates the method of splitting into physical processes and is based on coupled nonlinear Schrödinger equations. We also studied the impact of key neural network model parameters on modeling accuracy, including the width of convolutional and nonlinear filters, as well as the number of layers per fiber span. We developed and tested an effective approach to network training based on pre-optimization of convolutional filters to compensate for chromatic dispersion. The obtained results demonstrate high accuracy in modeling signal propagation over long communication lines and confirm the applicability of the proposed architecture to the analysis and optimization of fiber-optic systems with wavelength division multiplexing," explained Mikhail Fedoruk.

Prospects

The scientist emphasized that the practical application of the obtained results will improve the efficiency of fiber-optic communication lines, which forms the basis for the development of high-speed data transmission infrastructure, which is strategically important for the connectivity of the Russian Federation. The continuous implementation of new telecommunications and laser technologies, including the use of machine learning methods proposed in the project, facilitates the development of strategic areas such as the transition to advanced digital and intelligent manufacturing technologies, the creation of systems for processing large volumes of data, machine learning, and artificial intelligence. The project's results can find practical application in several strategically important sectors of the real economy. Solving the problem of transmitting growing volumes of information directly impacts the development of new government digital services, the advancement of science and new technologies, as well as many other areas of industry, business, and everyday life.

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