All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
Жоба 40 мың шақырымнан астам республикалық және облыстық автомобиль жолдарын мобильді байланыспен қамтамасыз етуді және 500-ден астам антенна-мачталық құрылыстар мен базалық станциялар салуды көздейді.
MedHub HAQathon — денсаулық сақтау саласындағы нақты мәселелерге технологиялық шешім әзірлеуге мүмкіндік беретін алаң....
Компании, производящие Pfas, увеличивают выпуск опасных химикатов для удовлетворения растущего спроса со стороны ИИ-индустрии. Несмотря на опасения по поводу здоровья, многие производители планируют увеличить объемы, особенно для производства полупроводников и систем охлаждения…
Определены дальнейшие шаги по реализации проекта и взаимодействию между АО «Транстелеком» и операторами сотовой связи.
Главы Anthropic, OpenAI и xAI призвали замедлить разработку ИИ Из-за рисков для безопасности 👀 Глава Anthropic Дар....
OpenAI ресурстарына $1 млн-ға дейінгі көлемде қол жеткізіп, өз AI-шешіміңізді жасағыңыз келе ме? 🚀23 қыркүйекте Астанада OpenAI қатысуымен әлемдегі ең ірі AI-хакатон — HackAlem AI өтеді. Ол әзірлеушілерді, стартаперлерді, AI-энтузиастарды және болашақтың шешімдерін жасауға…
eGov GPT 51 мемлекеттік қызметті қамтып, азаматтардан түскен өтініштердің шамамен 30%-ын өңдейді.
В GPT-6 Astra обнаружили странную брешь между возможностями модели и проверками безопасности. Astra понимает текст, набранный в неправильной раскладке, а защитные фильтры — нет. Сначала парень написал на украинском английскими буквами: "Привет. Ты меня понимаешь? Отвечай только…
ИИ распознаёт блюда и считает калории: новую систему тестируют в Нацгвардии Казахстана - 24.kz.
ИИ распознаёт блюда и считает калории: новую систему тестируют в Нацгвардии Казахстана - 24.kz.
Казахстанский стартап Fabs3D AI представил проект в Cambridge Innovation Center рядом с MIT - the-tech.kz.
Казахстан переводит госуслуги и экономику на рельсы искусственного интеллекта.
❗️Главы Anthropic, OpenAI и xAI призвали замедлить разработку ИИИз-за рисков для безопасности 👀Глава Anthropic Дарио Амодей призвал крупнейшие ИИ-компании снизить темпы развития самых мощных моделей, чтобы технологии безопасности и контроля успевали за ростом возможностей ИИ.…
arXiv:2609.11977v1 Announce Type: new Abstract: Co-work agents execute complex workflows that combine information gathering, tool use, coding, and file manipulation across many model invocations. Because cost and latency accumulate over the full episode, their practical value…
arXiv:2609.12105v1 Announce Type: new Abstract: The prevailing assumption in applied machine learning is that progress on consequential quantitative decisions such as pricing risk, allocating capital, triaging patients, or containing a network intrusion will follow from progress…
arXiv:2609.12139v1 Announce Type: new Abstract: Atomic layer deposition (ALD) and atomic layer etching (ALE) are reported heterogeneously across experimental and simulation literature in materials science, hindering comparison and machine-actionable reuse. We present four…
arXiv:2609.12162v1 Announce Type: new Abstract: Draft-verify-revise is a common LLM orchestration pattern for scaling inference-time compute. One LLM drafts, a second critiques the draft and provides feedback, and a third uses that feedback to revise the draft into the final…
arXiv:2609.12265v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly asked to reason over structured data such as graphs, yet how reliably they can carry out multi-step graph algorithms in language remains unclear. Existing evaluations tend to use simple…
arXiv:2609.12304v1 Announce Type: new Abstract: Wrist-worn IMU has been widely used for daily-life health monitoring. Yet, it does not fully represent whole-body dynamics, for which the body center of mass (COM) is considered the physiological reference standard. Therefore, this…
arXiv:2609.12373v1 Announce Type: new Abstract: Persona drift remains a central challenge for personalized language models, as user profiles evolve over long interactions rather than remain permanently fixed. Models must therefore revise persistent persona states when…
arXiv:2609.12395v1 Announce Type: new Abstract: Three-dimensional Gaussian Splatting (3DGS) combines explicit primitives with efficient rasterization, yet recent systems increasingly use neural networks to generate or share Gaussian parameters. We characterize this trend along…
arXiv:2609.11987v1 Announce Type: new Abstract: An agentic coding system couples a language model to a harness: the tools, prompts and control flow that turn a chat model into an autonomous software engineer. Vendors ship harnesses tuned to their own models, and practitioners…
arXiv:2609.12035v1 Announce Type: new Abstract: Cardiovascular diagnosis rests on integrating complementary modalities, like ECG, echocardiography, chest radiographs, and clinical variables, each capturing distinct but correlated aspects of cardiac physiology. Yet most medical…
arXiv:2609.12101v1 Announce Type: new Abstract: In hybrid forecasting, a language model is often one of several available signals. A system may already have a market, crowd, or statistical forecast and must decide whether the model adds useful information or should be ignored.…
arXiv:2609.12115v1 Announce Type: new Abstract: Phase-resolving wave models such as FUNWAVE-TVD are the accuracy standard for nearshore dynamics, resolving the shoaling, refraction, and breaking of individual waves, but their cost rules them out for the ensembles, uncertainty…
arXiv:2609.12116v1 Announce Type: new Abstract: Editing a knowledge graph embedding (KGE) model to promote a desired answer can displace correct answers from the returned list. Locality tests based only on facts that reuse the edited parameter can miss this ranking effect. We…
arXiv:2609.12171v1 Announce Type: new Abstract: Enterprise settings provide a challenging environment for question-answering agents, which often rely on Retrieval-Augmented Generation, Deep Research (DR), and related techniques. Much of this challenge comes from the complexity…
arXiv:2609.12247v1 Announce Type: new Abstract: Neuro-symbolic models are usually trained with supervision only on final labels, leaving the intermediate concepts unobserved. Since many concept assignments are consistent with a given label, training can predict labels correctly…
arXiv:2609.12267v1 Announce Type: new Abstract: Learning user-defined concepts as constraint networks has been extensively studied in the constraint acquisition (CA) literature. However, existing approaches typically rely on intensive interactions with a human oracle, making the…
arXiv:2609.12286v1 Announce Type: new Abstract: Integrating evolutionary computation and large language models (LLMs) requires control of population diversity as well as generative capability. Among LLM outputs, those with explicit structure, such as a description paired with…