Artificial intelligence - The Times Of Central Asia

Viewing results 1 - 6 of 16

Dr. Atakan Varol: Kazakhstan Should Play an Active Role in Shaping the Future of AI

The Times of Central Asia spoke with Dr. Hussein Atakan Varol, a professor of robotics and PhD in electrical engineering, who serves as General Director of the Institute of Smart Systems and Artificial Intelligence (ISSAI) at Nazarbayev University (NU). Dr. Varol discusses ISSAI’s research initiatives, the role of artificial intelligence (AI) in Kazakhstan, and the country's potential to lead in AI innovation. ISSAI’s Mission and Collaborations TCA: What is the mission of ISSAI, and what are its key focus areas? Varol: At ISSAI, our mission is to conduct cutting-edge AI research and develop practical, impactful solutions that benefit Kazakhstan and the broader global community. We specialize in large-scale generative AI models, speech recognition, computer vision, and AI infrastructure. Our goal is to establish sovereign AI capabilities in Kazakhstan, minimizing dependence on external technologies while maintaining a strong ethical foundation. All our research adheres to principles of "AI for Good" and "AI for Kazakhstan," ensuring that developments remain responsible and socially beneficial. TCA: How does ISSAI collaborate with the public sector, private companies, and international organizations? Varol: We actively engage with government agencies, local businesses, and global AI research institutions. Our partnerships focus on AI model development, data collection, and deploying AI-driven solutions. Access to computational resources remains a key challenge, and we collaborate strategically to secure the infrastructure needed to scale AI projects in Kazakhstan. Notable Projects and Local Impact TCA: What are some of ISSAI’s most promising current developments? Varol: A highlight is SoyleApp, which provides real-time speech recognition, text-to-speech, and multilingual translation. It has vast potential in education, public services, and cross-language communication. We’ve also developed the Mangitas 01 Inference Server, a vital step for Kazakhstan’s AI ecosystem. In the absence of AI supercomputers, we built Mangitas 01 using commercial off-the-shelf components, allowing local deployment of AI models with enhanced data security. We’re now working on expanding this line to support our Oylan language-vision model, paving the way for more advanced multimodal AI applications. TCA: Have ISSAI’s solutions been successfully implemented in Kazakhstan? Varol: Yes. SoyleApp is being integrated into governmental and enterprise systems to improve accessibility for Kazakh-speaking users. Mangitas 01 serves as a prototype for local AI infrastructure, enabling organizations to operate AI systems within Kazakhstan, enhancing both data protection and performance. TCA: How does the local context influence your AI development? Varol: Kazakhstan’s linguistic and cultural diversity demands AI systems capable of understanding and producing content in Kazakh, Russian, and other regional languages. We've created tailored datasets and models to meet these needs. Moreover, the country's limited AI infrastructure has led us to focus on efficient and scalable solutions like Mangitas 01. [caption id="attachment_31080" align="aligncenter" width="1600"] Dr. Atakan Varol; image: NU.edu[/caption] The Future of AI and Kazakhstan’s Role TCA: How do you see AI evolving over the next 5-10 years? Varol: The next leap is toward multimodal and sparse generative models that handle text, images, and audio simultaneously. With proper investment, Kazakhstan can contribute meaningfully to this frontier. We’re also exploring edge AI, which enables...

Artificial intelligence AI OpenAI Taxpayer

OpenAI Registers as Taxpayer in Uzbekistan

U.S.-based artificial intelligence company OpenAI has officially registered as a taxpayer in Uzbekistan. According to the State Tax Committee, OpenAI was added to the country's special platform for foreign electronic service providers on April 8, becoming the 67th international internet company to register in Uzbekistan. OpenAI is best known for developing ChatGPT, the AI chatbot that gained rapid global popularity following its launch in November 2022. Within five days, the platform surpassed one million users. In March 2023, OpenAI released GPT-4, a more advanced version of the model capable of understanding both text and images. Since November 2023, ChatGPT has been accessible to users in Uzbekistan. The move comes amid heightened efforts by Uzbek authorities to enforce tax compliance among foreign digital platforms operating in the country. On March 4, the National Agency for Perspective Projects and the State Tax Committee issued a joint warning to Chinese e-commerce platform Temu, which had failed to register as a taxpayer. As a result, access to Temu has been blocked in Uzbekistan since March 20. Although Temu is legally registered in Uzbekistan, the Tax Committee reported on March 18 that the platform still owes 46 billion UZS (approximately $3.5 million) in unpaid taxes. First Deputy Chairman of the Tax Committee Mubin Mirzayev stated that Temu must settle its debt before it can resume operations in the country. According to analyst Timurmalik Elmuradov, Temu faces two options: either open a local branch or register as a value-added tax (VAT) payer. The platform’s monthly sales in Uzbekistan are estimated at $8-9 million. Other foreign platforms have also come under scrutiny. Russian online retailer Wildberries, which initially received a similar warning, has since paid 52 billion UZS (about $4 million) in taxes, according to Mirzayev. The government says it is committed to ensuring that all e-commerce companies operating in Uzbekistan comply with local tax regulations.

Artificial intelligence Education UNESCO Technology

Turkmenistan Explores Integration of Artificial Intelligence in Education

Turkmenistan has taken a significant step toward integrating artificial intelligence (AI) into its education system by hosting a scientific and practical conference. Organized by the Ministry of Education in collaboration with the UNESCO Institute for Information Technologies in Education, the event marked progress in implementing the goals outlined in the “Roadmap of Cooperation for 2024-2025.” Key Discussions The conference explored critical aspects of applying AI in education. Topics included the development of education management information systems, improving teachers’ digital literacy, and adapting cutting-edge technologies to Turkmenistan’s specific conditions. Participants also presented a draft strategy for the development of AI in education and highlighted international platforms already in use in this field. Special emphasis was placed on the competencies required for both teachers and students to effectively work with AI. Experts noted that fostering such skills is essential in an increasingly digitalized society and workplace. They stressed that equipping young people with AI-related knowledge could significantly enhance their future professional prospects. Practical Implementation and Examples Turkmenistan is already incorporating AI into educational initiatives. A notable example was presented on October 4 in Ashgabat, where Selin Ataeva, a 12th-grade student at the Swiss School of Dubai and leader of a startup development team, showcased an AI-driven math learning platform. This innovative software adopts a personalized approach to education, catering particularly to students in rural and remote regions. By optimizing the learning process and improving access to quality education, the platform exemplifies the transformative potential of AI in bridging educational gaps. As Turkmenistan advances toward integrating AI into its education system, the conference highlighted the importance of aligning technology with local needs and preparing students and teachers for a digitally driven future. With initiatives like Ataeva’s math learning platform, the country demonstrates a commitment to using AI to enhance education accessibility and efficiency.

Artificial intelligence Science Education Digital Technologies Language Teaching AI

AI in Central Asia: Kazakhstan Unveils Multilingual GPT Model

Researchers at the Institute of Intelligent Systems and Artificial Intelligence (ISSAI) at Nazarbayev University in Astana have introduced ISSAI KAZ-LLM, a large language model (LLM) specifically designed for the Kazakh language. Built on advanced neural network technology, the model serves as the foundation for Kazakhstan’s version of a generative AI system similar to GPT. ISSAI KAZ-LLM is tailored to Kazakhstan’s multilingual and multicultural environment, supporting Kazakh, Russian, and English, with additional functionality for Turkish. The model addresses language barriers and advances the field of generative artificial intelligence for resource-limited languages. The development team processed and synthesized over 150 billion tokens to ensure high-performance language capabilities. Beyond creating an AI tool, the project also fostered local expertise, involving Kazakhstani researchers at every stage, from data preparation to model implementation. Collaboration with international institutes enabled the creation of language-specific datasets and comparative analysis tools, utilizing input from linguists and state-of-the-art machine translation techniques. KAZ-LLM has a wide range of applications, including Kazakh language translations, content generation, and bulk text processing. Training data was sourced exclusively from publicly available materials, such as Kazakh websites, news articles, and online libraries, supplemented by contributions from various organizations. ISSAI director, Prof. Hussain Atakan Varol, told The Times of Central Asia: “This model reflects Kazakhstan's commitment to innovation, self-reliance, and the growth of its technology ecosystem. Our team developed two versions of ISSAI KAZ-LLM: one with 8 billion parameters and another with 70 billion parameters. Both are built on the Meta Llama architecture, optimized for use on high-performance systems as well as resource-constrained environments. Released under a CC-BY-NC license, the models are available for non-commercial use on the Hugging Face platform.” The ISSAI team is already exploring next-generation AI systems, including language-vision models, while expanding support for additional Turkic and regional languages. These initiatives aim to strengthen regional ties, promote linguistic integration, and create substantial economic and technological opportunities in Kazakhstan and beyond. Remarkably, this groundbreaking development was accomplished without government funding, with significant contributions from Kazakhstani IT companies. Kazakhstan is also gearing up to launch the International Center for Artificial Intelligence alem.ai. The center is set to become a hub for transforming the country into an AI-driven economy, fostering innovation, attracting investments, and supporting startups. By 2029, the export of Kazakhstani AI solutions is expected to reach $5 billion.

University Artificial intelligence Digital Technologies Science Education

Redefining Work and Innovation: The Impact of AI and Its Rise in Kazakhstan

Will artificial intelligence be able to replace humans? What professions will disappear in the future, and will mankind face an “aggressive” neural network? Aigerim Abdenbayeva, head of educational programs at the Institute of Smart Systems and Artificial Intelligence (ISSAI) at Nazarbayev University (NU), answers these questions and discusses how AI is developing in Kazakhstan. TCA: Most people have heard the term “artificial intelligence” in one way or another, but only a small proportion know about the practical possibilities of AI. In your view, what is artificial intelligence? Artificial intelligence can be characterized as the ability of machines to perform tasks that traditionally require human intelligence. This includes recognizing images, understanding language, making decisions, and solving complex problems. In everyday life, we encounter AI in many different forms, from voice assistants like Siri and Google Assistant to recommendations on streaming platforms like Netflix, which suggests movies based on your preferences. The term “artificial intelligence” was coined in 1956 by American scientist John McCarthy, who is considered one of the field's founders. Although the concept of AI was proposed more than half a century ago, its modern form only began to develop in the 1980s, when so-called expert systems emerged. These systems used rules and knowledge bases to solve specific problems, such as disease diagnosis or financial forecasting. Since then, AI has gone through several stages of development. The 2010s saw a significant breakthrough with the emergence of deep learning and big data technologies. Based on neural networks, deep learning has allowed computers to process and analyze vast amounts of information, dramatically improving their ability to recognize patterns and understand speech. This progress has made AI more accessible to a broader audience and has become an integral part of our daily lives. Several trends in the field of artificial intelligence can be distinguished: "Narrow AI" is a specialized system for specific tasks. For example, algorithms are used to recognize faces or diagnose diseases. They outperform humans in a narrow domain, but cannot perform functions outside their specialization. “General AI” involves creating machines that can perform any intellectual task at a level comparable to humans. General AI remains a theoretical concept and has not been achieved in reality. "Generative AI" is a field that deals with creating new data based on existing data. Examples include generating text, images, and music. Algorithms such as GPT (Generative Pre-trained Transformer) can create text that looks like a human wrote it, and they are already being used extensively in various applications. Generative AI, in particular, has become popular due to its ability to make human life more manageable. For example, platforms like ChatGPT can help with writing articles, creating content for social media, and automating routine tasks, saving users a lot of time and effort. Other AI applications have already become part of our daily lives. For example, in medicine, AI is used to analyze medical images, which helps doctors in diagnosis and treatment selection. In finance, AI helps analyze market data and predict trends, allowing investors...

Security Digitalization Digital Technologies Artificial intelligence Public Security Digitization

AI Facial Recognition System Being Tested in Two Cities in Kazakhstan

Kazakhstan has launched a national video monitoring system powered by artificial intelligence technologies. The project, developed by the Ministry of Internal Affairs, the National Security Committee, and the Ministry of Digital Development, Innovation, and Aerospace Industry, aims to enhance surveillance capabilities across key locations in the country. The system is designed to recognize faces, detect abandoned objects, capture offenses, and identify vehicles by make, model, and color. Critical sites such as railway stations, airports, hotels, streets, intersections, and shopping malls are priority areas for implementation. During the World Nomad Games in Astana, the technology was reportedly instrumental in locating lost children and missing persons. Authorities also noted that the system helped detain 46 wanted individuals in Astana and 30 in Almaty. Proponents argue that these technologies could contribute to improving public safety and reducing crime. Kazakhstan’s initiative follows a broader global trend of integrating AI into “smart city” systems, similar to developments in China, Russia, and some European countries. Officials say the system will be expanded with additional cameras nationwide to increase monitoring coverage. To date, more than 1.3 million video cameras have been installed in Kazakhstan, with 310,000 of them connected to operational control centers and police duty stations. Advocates of the system highlight its potential to deter crime and bolster public security, although concerns about privacy and misuse of surveillance technology have been raised internationally. Worldwide, AI video surveillance systems are being adopted to improve law enforcement and public safety. In China, they are used for facial recognition to track criminals and prevent offenses. Russia has integrated AI into its video systems to detect potential threats, while in the UK, intelligent cameras are used for crowd management and event security. While supporters emphasize the benefits of such systems in enabling faster responses to incidents and reducing crime, the deployment of AI in surveillance has sparked ongoing debates over privacy, civil liberties, and the potential for misuse.