Lenovo and QAIRU open AI classroom to advance AI technologies in education
Lenovo and QAIRU open AI classroom to advance AI technologies in education Informburo.kz
All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
Lenovo and QAIRU open AI classroom to advance AI technologies in education Informburo.kz
Генеральная прокуратура Казахстана отчиталась о пресечении деятельности крупного нелегального кредитора — интернет-платформы Alem Credit. По факту незаконной микрофинансовой деятельности Департамент экономических расследований по Алматы ведет досудебное расследование.…
Число пользователей мобильного приложения eGov Казахстана превысило 13,2 миллиона. Сегодня на платформе доступно более 1100 государственных услуг и цифровых сервисов. За последние семь лет дополнительные государственные услуги стали одним из основных способов получения услуг смартфона,…
✔️ In Kazakhstan, verification of IMEI of smartphones through eGov has been simplified. From October 9, Kazakhstanis can apply for IMEI verification through the eGov Mobile application and the new state portal portal.imei.gov.kz. IMEI verification is needed to verify the legality of importing mobile phones...
Развитие искусственного интеллекта может осложнить выпускникам вузов поиск первой работы. Президент Сингапура Тарман Шанмугаратнам призвал правительства разных стран как можно скорее найти решение этой проблемы и не допустить усиления экономического разрыва между развитыми и…
Полиция графства Стаффордшир в Великобритании представила виртуального помощника Bobbi на основе искусственного интеллекта. Он будет отвечать на типовые вопросы граждан и помогать снизить нагрузку на контактный центр. Проект запустили в тестовом режиме на 12 месяцев, передает…
27 hidden clusters, AI scripts, 'ClickFix' traps — cyber intelligence expert Oleg Skulkin unveiled a map of new threats looming over Kazakhstan
Из-за падения ЦОДов «Яндекса» пользователи в РК столкнулись с остановкой служб такси и доставки, а местный бизнес — с недоступностью облачной инфраструктуры.
Paragon is in touch - let's start the day! The main thing for the day🟠12.10 ⠀ 🟠Claude - dangerous advertising on Google 🟠Android - the virus is already in the firmware 🟠Microsoft Decision-1 - faster than GPT-6 Sol 🟠Anthropic - the agent sent the real form 🟠ChatGPT - without it people give up 🟠Yandex is the third data center...
Разработчик Брэндон Томас представил Artcraft — проект по замене продуктов Adobe с помощью искусственного интеллекта. Проект с открытым исходным кодом объединяет бесплатные приложения для обработки изображений, векторной графики, редактирования видео и работы с PDF-документами.
🔥Лучшие ИИ-находки прошедшей недели Claude Haiku 5.5 — стала в 10 раз дешевле и может работать субагентом у более мощных моделей. Intelligent UI — ChatGPT генерирует кнопки, графики и интерактивные элементы прямо в ответах. Nano Banana 2.1 — новая версия аккуратнее редактирует…
Said Nasimov explained how banks, telecom operators, and retailers can use AI in their products
Казахстанские школьники вошли в четверку сильнейших в мире по робототехнике Qumash.kz
🔴 Microsoft Chief Proposes Creation of 'Emergency Button' to Halt AI. Microsoft CEO Satya Nadella believes advanced AI systems should have an emergency shutdown mechanism. An authorized person should be able to…
Digital Qazaqstan: How Kazakhstan Is Transforming Its Economy with AI DKNews.kz
Kazakhstan team won 11 matches at robotics tournament in Incheon Ustinka
Kazakhstan entered the top 4 of the World Robotics Championship ru.elordainfo.kz
arXiv:2610.12542v1 Announce Type: new Abstract: Monte Carlo Tree Search (MCTS) is often proposed for scheduling directed-acyclic-graph (DAG) workflows, yet most studies never run the comparison that could refute it - giving a much simpler method the same search effort. We run…
arXiv:2610.12655v1 Announce Type: new Abstract: LLM agents can execute increasingly complex tasks, but effective assistance also requires aligning their actions with goals and constraints that users may leave unstated. We study this problem as interactive intent alignment…
arXiv:2610.12781v1 Announce Type: new Abstract: Aligning two independently pretrained unimodal encoders typically demands millions of paired examples. In this paper, we study the regime where only $N \sim 100$--$500$ pairs are available, while unpaired data on either side is…
arXiv:2610.12659v1 Announce Type: new Abstract: Data-centric scaling of RLVR has focused on collecting or generating verifiable training problems. However, corpus size alone does not determine whether the dataset provides a useful learning signal for a target policy. To guide…
arXiv:2610.12789v1 Announce Type: new Abstract: Self-evolving LLM agents typically improve how they act through accumulated experience, reflection, or skills. Yet even procedurally capable agents can fail when their beliefs about environment dynamics are incomplete, incorrect,…
arXiv:2610.12762v1 Announce Type: new Abstract: Hardware datasheets contain engineering specifications essential for component selection, system integration, and hardware compatibility verification. However, manual inspection is tedious and error-prone because datasheets are…
arXiv:2610.12845v1 Announce Type: new Abstract: Despite extensive research, computational creativity still lacks a conceptually grounded, practically relevant, and empirically applicable formal definition across contexts such as art, scientific research, and games. Existing…
arXiv:2610.12593v1 Announce Type: new Abstract: The continued improvement of large language models increasingly depends on synthetic experience, yet effective data synthesis for interactive agents requires not only executable and verifiable trajectories, but also interactions…
arXiv:2610.12493v1 Announce Type: new Abstract: Explainable Artificial Intelligence (XAI) tools have often been presented as methods to increase trust in machine learning models by making aspects of their algorithms more human-understandable. However, evidence accumulated over…
arXiv:2610.12536v1 Announce Type: new Abstract: EliteTable is a self-improving program-search algorithm guided by large language models (LLMs) that uses a fixed-capacity table of high-scoring solutions to guide new proposals, edits of existing solutions, and remixes of several…
arXiv:2610.12596v1 Announce Type: new Abstract: Agentic large language models now tackle complex tasks, yet strategic reasoning over long horizons is under-studied: most agentic benchmarks are short and episodic, and performance on long tasks is hard to dissect into stored…
arXiv:2610.12598v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) provides reliable supervision for software engineering agents through executable tests, but binary rewards fail to distinguish trajectories with substantially different…
arXiv:2610.12813v1 Announce Type: new Abstract: LLM agents increasingly operate over sensitive resources, such as private documents and mutable system states, which can create serious safety and security risks. Runtime guardrails should therefore make inspectable, reproducible,…