Artificial Intelligence and Robotics have a common root and a (relatively) long history of interaction and scientific discussion.
The birth of Artificial Intelligence and Robotics takes place in the same period (’50), and initially there was no clear distinction between the two disciplines. The reason is that the notion of “intelligent machine” naturally leads to robots and Robotics. One might argue that not every machine is a robot, and certainly Artificial Intelligence is concerned also with virtual agents (i.e. agents that are not embodied in a physical machine). On the other hand, many of the technical problems and solutions that are needed in order to design robots are not dealt with by Artificial Intelligence research. A clear separation between the fields can be seen in the ’70, when Robotics becomes more focused on industrial automation, while Artificial Intelligence uses robots to demonstrate that machines can act also in everyday environments

The article discusses the use of artificial intelligence in education, as well as solving problems of personalization of training and career guidance. The need to introduce artificial intelligence into the learning process, as well as technologies that are already in use, has been identified and analyzed. The possibilities of using artificial intelligence in personalizing learning are presented. Having analyzed the possibilities of using artificial intelligence, we came to the conclusion that there is a need to use and improve the technologies of neural networks and artificial intelligence in education.

Автоматизация процессов обработки и вывода данных с использованием искусственного интеллекта, сбор, анализ, подготовка и тестирование данных для моделей искусственного интеллекта. Использование средств автоматизации. Контроль качества и система искусственного интеллекта.

The article discusses the possibilities of using artificial intelligence technologies in training future historians. As you know, the most popular artificial intelligence chatbot currently is the ChatGPT application. Unfortunately, access to this service for users from Russia and Belarus is currently limited. However, there are many third-party applications free from such restrictions that use the ChatGPT API and solve similar problems. The article analyzes three of the most interesting and useful of these services: Phind.com - a search engine for researchers, Talkai.info - a service that provides access to ChatGPT in Russian, Explainlikeimfive.io - an application that explains complex concepts and concepts. Examples are given of the use of the above services in planning, organizing and conducting the educational process at the faculty that trains historians. It is shown that the rapid development of artificial intelligence technologies will lead to a radical change in approaches to organizing the educational process, its structure and content. According to some experts, by the end of 2026, ninety percent of the content on the Internet will be generated by artificial intelligence. This cannot but affect educational content posted on the Internet. In conclusion, it is noted that, unfortunately, solutions obtained using deep neural networks are often impossible to verify. This naturally reduces their value. That is why it is still difficult to judge how the widespread introduction of artificial intelligence technologies will affect the quality of specialist training.  

This article defines the term artificial intelligence. specific conveniences and advantages of artificial intelligence, principles widely used in world experience are shown. In developed countries, the use of opportunities of artificial intelligence and modern information technologies in the social sphere, in particular, in health care, education, employment, social protection and other areas, as well as the results of the development of artificial intelligence for society are shown.

Слияние искусственного интеллекта (ИИ) и Интернета вещей (IoT) представляет собой трансформационный сдвиг в технологических инновациях, предоставляя расширенные возможности для взаимосвязанных систем в различных отраслях. Однако эта интеграция также вводит критические проблемы, требующие немедленного внимания. Экосистемы IoT сталкиваются с серьезными уязвимостями в области кибербезопасности из-за своей обширной атакующей поверхности и нестабильных протоколов безопасности. Проблемы масштабируемости возникают, поскольку миллиарды устройств генерируют огромные объемы данных, что создает невиданный нагрузку на существующую инфраструктуру сетей. Кроме того, пробелы в интероперабельности, вызванные фрагментированными экосистемами и проприетарными технологиями, препятствуют беспрепятственной коммуникации между устройствами, ограничивая потенциал IoT. Более того,экологическое воздействие развертывания IoT в крупных масштабах вызывает беспокойство в отношении потребления энергии, электронных отходов и устойчивости. ИИ-решения предлагают обещающие стратегии для решения этих проблем. Используя прогнозную аналитику, машинное обучение и периферийные вычисления, ИИ повышает кибербезопасность, оптимизирует масштабируемость и способствует интероперабельности в системах IoT. Кроме того, ИИ способствует устойчивости через интеллектуальное управление энергией и оптимизацию жизненного цикла устройств IoT

The following research paper represents an investigation of the modern advances in the field of artificial intelligence. From the beginning of computers' invention, people starts tying to create perfect machines that could replace human beings in every aspect of life. Invention of complex robots which could avoid human interference, promote scientists light up with idea of machines which can make decisions, plan schedules an even set goals for people. Many governments such as United States, South Korea, China, Japan and Western countries have funded research projects with billions of dollars in the field of artificial intelligence. Scientists all over the world were willing to create a program, which gives the basic information of the artificial intelligence, and the advancements made in the field.

In recent years, the rapid development of innovative technologies, in particular artificial intelligence (AI) systems, is fundamentally changing the nature of the labor market and human labor. The application of artificial intelligence technologies in various fields, the replacement of traditional work processes by automated and digital systems, has a significant positive impact on labor productivity and efficiency. This article scientifically analyzes the impact of innovative technologies and artificial intelligence on modern labor activity and highlights their socioeconomic consequences.

The relentless evolution of cyber threats, from ransomware to advanced persistent threats (APTs), has exposed the limitations of traditional cybersecurity approaches. Artificial Intelligence (AI) has emerged as a cornerstone technology, offering sophisticated tools for threat detection, predictive analytics, automated response, and threat intelligence. By leveraging machine learning, deep learning, and natural language processing, AI enables adaptive and scalable defenses against increasingly complex attacks. This article provides an in-depth exploration of AI’s transformative role in cybersecurity, detailing its applications, addressing challenges such as adversarial attacks, data biases, and ethical concerns, and envisioning future advancements. Through a comprehensive analysis, it underscores AI’s potential to fortify digital ecosystems while highlighting the need for robust strategies to mitigate its limitations.

В данной статье проведена работа по теоретическому определению и обоснованию условий формирования социального интеллекта как фактора самосознания педагога и экспериментальному исследованию их эффективности. Также речь идет о психолого-педагогических условиях формирования социального интеллекта как фактора самосознания педагогов.

This article will examine the role of artificial intelligence in language learning, its current capabilities, what changes are anticipated in the future, and of course, the challenges that currently exist. Artificial intelligence has been around for a short time, but it has been developing quickly in recent years, bringing about many changes, particularly in the field of education, including language learning.  The study analyzed the scientific literature and examined the impact of AI technologies on language learners. Artificial intelligence-based tools and platforms have introduced adaptive learning methods, personalized learning, and real-time feedback, making language acquisition more convenient and effective. While students have the opportunity to learn their lessons with the help of AI based individual approach, work on pronunciation and accent, and have 24/7 chat capabilities, they still lack a live teacher.

Hozirgi kunda sun’iy intellekt (AI) texnologiyalari turli sohalarda, jumladan, media va ko‘ngilochar sanoatida keng qo‘llanilmoqda. Ayniqsa, video va audio fayllar yaratishda sun’iy intellektning o‘rni sezilarli darajada ortdi. AI yordamida yaratish mumkin bo‘lgan media fayllar, an’anaviy usullarga qaraganda tezroq va samaraliroq amalga oshirilishi mumkin. Video va audio yaratishda AI texnologiyalarining kuchli yordami, asosan, avtomatik kontent yaratish, audio va video tahrir qilish, tarjima qilish va boshqa ko‘plab ilovalar orqali amalga oshiriladi. Ushbu maqolada AI yordamida video va audio fayllarni yaratish texnologiyalarining asosiy tamoyillari, ularning ishlash prinsiplari va imkoniyatlari ko‘rib chiqiladi.

В статье представлен философский анализ гносеологических рисков, возникающих в процессе цифровой трансформации высшего образования. Особое внимание уделяется проблеме верификации знания в условиях активного внедрения технологий искусственного интеллекта в образовательный процесс. На основе диалектического и системного подходов исследуются механизмы трансформации процессов производства и верификации знания в цифровой образовательной среде. Выявляются ключевые противоречия между традиционными механизмами верификации знания и новыми формами его получения и трансляции с использованием искусственного интеллекта. Предлагаются методологические подходы к разрешению выявленных противоречий и минимизации гносеологических рисков цифровизации образования.

Every day, high technologies are being introduced deeper and deeper into our lives, designed to facilitate human labor, make work done faster and better. One of these technologies is artificial intelligence, designed to solve sometimes very complex problems, from creating so-called “smart homes” to developing plans for automated space flights. Scientists believe that in the near future, artificial intelligence will free us from performing routine tasks in many areas of life. For example, this could have a major impact on medicine. One example of the implementation of artificial intelligence in medical diagnostics is the IBM Watson system, which helps make diagnoses in cardiology and oncology. Another example was the Google “DM Health” project, applied in the field of ophthalmology.

Mazkur maqolada “sun’iy intellekt” tushunchasi, shuningdek, uning asosiy xususiyatlari muhokama qilinadi. Sun’iy intellektning ta’lim jarayonida sun’iy intellektdan foydalanish texnologiyalari uni amalga oshirishning xususiyatlari va misollari zamonaviy xorijiy va mahalliy ta’lim makoniga tutgan o’rniga bag’ishlangan bo’lib, xozirga vaqtdagi yangi texnologiyalar ko’rib chiqilgan. Bu texnologiyalar allaqachon professor-o’qituvchilar va talabalar uchun katta rol o’ynaydi. Zamonaviy ta’lim sohasidagi sun’iy intellektning qo’llash muammolari va istiqbollari, kelajakda tutadigan o’rni xaqidagi mavzulariga ham to’xtalib o’tilgan.

In recent years, emotional intelligence (EI) has gained recognition as a crucial factor in students’ academic success and personal development. Defined as the ability to understand, manage, and express emotions effectively, EI influences communication, decision-making, and interpersonal relationships. Pedagogy, as the science and art of teaching, plays a vital role in fostering these skills within educational settings. By incorporating strategies that promote empathy, reflection, and collaboration, teachers can nurture students’ emotional growth alongside cognitive abilities. This paper explores the role of pedagogy in developing emotional intelligence and its importance for holistic student development in the 21st century.

This article describes the history of artificial intelligence systems, their role in human activity and the importance of the implementation of artificial intelligence systems.

This thesis analyzes the role of modern digital technologies, particularly big data and artificial intelligence (AI) technologies, in the development of adaptive educational systems and their potential to enhance effectiveness. Big data and artificial intelligence approaches are emerging as crucial tools for personalizing the educational process, assessing students' knowledge levels, and creating educational content tailored to their needs.

In the era of deep learning and large-scale artificial intelligence systems, the importance of efficient optimization algorithms has significantly increased. Neural networks, particularly those with deep and complex architectures, rely heavily on gradient-based iterative methods to update model parameters by minimizing a loss function. Among these methods, the Adam (Adaptive Moment Estimation) algorithm has emerged as a widely adopted solution due to its adaptive learning capability and robust convergence behavior. Originally introduced by D. Kingma and J. Ba in 2015, Adam integrates the advantages of both Stochastic Gradient Descent (SGD) and RMSprop algorithms, addressing several limitations of traditional approaches, such as fixed learning rates, slow convergence, oscillatory updates, and sensitivity to noisy gradients [1][2].

Ushbu maqolada ingliz tilini chet tili sifatida (EFL) o‘qitishda tanqidiy fikrlash va emotsional intellektni uyg‘unlashtirish masalasi yoritiladi. Tanqidiy fikrlash o‘quvchilarga ma’lumotni tahlil qilish va ongli qarorlar qabul qilish imkonini bersa-da, stress va motivatsiyaning pasayishi kabi hissiy to‘siqlar bu jarayonga salbiy ta’sir ko‘rsatadi. Shu nuqtai nazardan, emotsional intellekt o‘quvchilarning hissiy muammolarini yengishda va tanqidiy fikrlash samaradorligini oshirishda muhim omil hisoblanadi. Maqolada EFL darslarida EI va tanqidiy fikrlashni integratsiya qilishning samarali usullari taklif etilib, nazariy asoslar va amaliy metodlarning uyg‘unlashuvi orqali o‘quv jarayonining faolligi hamda natijadorligini kuchaytirish yo‘llari ko‘rib chiqiladi.

This article analyzes the impact of artificial intelligence technologies on jurisprudence, the transformation of legal thinking and modern approaches to the legal sphere. The ethical management of legal technologies, the practice of applying “Artificial Intelligence and Jurisprudence: Opportunities and Threats” and how they affect legal education are analyzed based on scientific sources. The legal and ethical consequences of the interaction between humans and machines in legal thinking are also considered.

Использование Искусственного интеллекта в правовой системе Узбекистана сделает ее более эффективной и прозрачной. Опыт Китая показывает, что цифровизация судов, прокуратуры и антикоррупционной системы позволяет ускорить судебные процессы, давать новые рабочие места и уменьшить коррупцию. Искусственный интеллект способен автоматизировать юридические процессы, помогать судам в принятии решений и бороться с правонарушениями.

Ушбу мақолада Судьялар олий кенгаши томонидан ишлаб чиқилган судьялар фаолиятининг самарадорлигини электрон рейтинг баҳолаш миллий тизимининг ўзига хос жиҳатлари, Кенгаш ҳузуридаги Ўзбекистон Судьялар клуби фаолияти, Клубнинг асосий ишлаш платформаси бўлган унинг онлайн форуми фаолияти ҳамда ушбу тизимларни ҳозирги замон талабларидан келиб чиқиб сунъий интеллект технологиясига айлантириш юзасидан таклифлар берилган. Мақолада замонавий ахборот технологияларида сунъий интеллект технологиясининг жорий қилинишининг одил судловни амалга оширишга бўлган тасири баҳоланган.

Ushbu maqola sun’iy intellekt (SI)ning tushunchasi, tarixiy rivojlanishi, zamonaviy qo‘llanilishi va iqtisodiy imkoniyatlarini keng qamrovli tarzda o‘rganadi. SI inson intellektiga taqlid qiluvchi mashinalar yaratishga qaratilgan fan bo‘lib, 1956-yilda Jon Makkarti tomonidan Dartmouth kollejida asos solingan. 2012-yilda chuqur o‘rganilib, 2017-yilda transformer arxitekturasi yutuqlari bilan rivojlanib, 2020-yillarda keng tarqalgan. Maqolada SI’ning aqlli qidiruv tizimlari, tavsiya tizimlari, tabiiy tilni tushunish, avtomatik boshqaruv, mobil ilovalar integratsiyasi, turli SI turlari (ChatGPT, Midjourney, GitHub Copilot va boshqalar) va daromad manbai sifatidagi qo‘llanilishi batafsil ko‘rib chiqiladi.

Статья изучает, как технологии искусственного интеллекта могут улучшить процесс обучения, делая его более эффективным и адаптированным к индивидуальным потребностям. Адаптивные обучающие системы на основе искусственного интеллекта позволяют персонализировать процесс обучения, повышать мотивацию учащихся и увеличивать эффективность обучения. Результаты исследования показывают, что эти системы адаптируют учебные программы в соответствии с индивидуальными способностями и потребностями и позволяют отслеживать результаты в режиме реального времени. Кроме того, эти системы выявляют сильные и слабые стороны учащихся и предоставляют индивидуальную поддержку. В результате повышается эффективность обучения и процесс обучения становится более интересным. В статье также анализируется роль искусственного интеллекта в технологической интеграции и внедрении инноваций в образовательную систему.