Expanding AI access and cyber defense for federal, state, local, and tribal governments
OpenAI and GSA will offer eligible federal, state, local, and tribal governments $0 license fees, 50% off usage, and expanded cyber defense support.
All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
OpenAI and GSA will offer eligible federal, state, local, and tribal governments $0 license fees, 50% off usage, and expanded cyber defense support.
Introducing ChatGPT for Financial Services, combining built-in financial data and GPT-6 Astra for research, modeling, and client-ready materials.
eGov GPT и интернет в сёлах: как Казахстан становится цифровым хабом Евразии - BES.media.
❗️В Казахстане предлагают ввести понятие «треш-стриминга» и усилить наказание за опасные эфирыДепутат Жаркынбек Амантай предложил законодательно закрепить понятие «треш-стриминг» и усилить ответственность за противоправный контент в прямых эфирах.Речь идет о стримерах, которые…
В Казахстане простаивает готовая система ИИ для выявления рака легких - Kursiv Media Казахстан: последние новости Казахстана и мира.
📍 В Alatau City протестируют цифрового двойника для управления городомВ Alatau City планируют запустить пилотный проект с технологиями Digital Twin и Интернета вещей (IoT). Соответствующий меморандум Alatau City Authority подписал с южнокорейскими AST Holdings и ILJOO…
Миннауки и Halyk Bank объединяют усилия для развития ИИ-компетенций студентов - profit.kz.
Ғылым министрлігі мен Halyk Bank студенттердің ЖИ-құзыреттерін дамытуға күш біріктіреді.
💡От идеи до финала Technovation Girls: как казахстанская школьница создает приложения для реальных проблемПоговорили с Жанайым Корпебаевой — фаундером и тимлидом двух проектов, которые два года подряд доходили до четвертьфинала международного конкурса Technovation Girls.В 2025…
Количество функций и особенностей кодекса [музыка] безумное. Это большой урок про кодекс и GPT6 Astra. Разберём все особенности интерфейса и горячей клавиши, правильной настройки разрешения вашего агента, автоматизации при помощи компьютерuse. Превратим кодекс в джарвиса,…
🚀 Ырысалдының оқиғасы IT саласына ауысу әрдайым нөлден басталмайтынын көрсетеді. Tech Orda-ға қатыспас бұрын ол шамамен 8 жыл құрылыс саласында жұмыс істеп, техникалық бақылаумен, сметалармен және өндірістік процестермен айналысты. Кейін өз тәжірибесін жаңа технологиялық…
Цены на новую линейку айфонов теперь выглядят так 👇• iPhone 18 Pro: $1,199• iPhone 18 Pro Max: $1,299• Foldable iPho....
arXiv:2609.09374v1 Announce Type: new Abstract: Arctic maritime navigation is becoming increasingly important as changing sea-ice conditions expand seasonal accessibility while simultaneously introducing substantial operational, environmental, and community risks. Arctic route…
arXiv:2609.09203v1 Announce Type: new Abstract: Existing benchmarks for autonomous AI scientists evaluate only final outputs---generated code, hypotheses, or papers---yet discard the reasoning process by which those outputs were obtained. This makes it impossible to audit…
arXiv:2609.09226v1 Announce Type: new Abstract: We introduce a probability-wave framework for modeling the collective behavior of interacting adaptive agents, deriving testable eigenmodes through a generalized behavioral intelligence (GBI) nonlocal probability-wave equation.…
arXiv:2609.09306v1 Announce Type: new Abstract: This paper investigates the hypothesis that the first-order structure of physical interactions, i.e. gradients or Jacobians, characterizes the structure of phenomenal experience. It does so in an idealized world inhabited by neural…
arXiv:2609.09413v1 Announce Type: new Abstract: Choosing a recovery process for scale-up requires connecting laboratory results with product requirements, process costs, and scale effects. We analyze records from Pacific Northwest National Laboratory's Computer Intelligence for…
arXiv:2609.09448v1 Announce Type: new Abstract: As agentic systems getting adopted rapidly in safety critical applications, it is vital to measure the confidence associated with the agentic actions. In comparison to the traditional machine learning systems, agentic workflows…
arXiv:2609.09458v1 Announce Type: new Abstract: As LLM agents move from answering questions to carrying out procedures, failures can be unwarranted rather than visibly wrong: the final response looks acceptable even though the system skipped the check, branch, dependency, or…
arXiv:2609.09428v1 Announce Type: new Abstract: Evaluating the quality of explanations produced by explainable AI (XAI) methods remains challenging because existing approaches often rely on subjective human judgment, limiting reproducibility, scalability, and comparability…
arXiv:2609.09418v1 Announce Type: new Abstract: World Action Models (WAMs) couple predictive world modeling with action generation, allowing anticipated future states to guide agent behavior. Although WAMs are rapidly advancing embodied AI, general-purpose counterparts remain…
arXiv:2609.09565v1 Announce Type: new Abstract: Agentic graph learning (AGL) has recently achieved promising results on graph reasoning tasks, where an agent powered by a large language model (LLM) sequentially samples the graph as evidence to support its final prediction.…
arXiv:2609.09578v1 Announce Type: new Abstract: Urban planning is a real-world spatial optimization problem that requires selecting feasible actions from large candidate spaces under practical objectives such as cost and service quality. Existing optimization and reinforcement…
arXiv:2609.09589v1 Announce Type: new Abstract: Deep neural networks exhibit regular macroscopic behavior despite highly nonlinear dynamics in vast parameter spaces. We develop a statistical-mechanical description of learning directly in function space, treating parameter…
arXiv:2609.09625v1 Announce Type: new Abstract: As Digital Twin (DT) systems evolve beyond state synchronization toward task-oriented and knowledge-driven operation, Cognitive Digital Twins (CDTs) have emerged as an extension that incorporates cognitive capabilities into twin…
arXiv:2609.09627v1 Announce Type: new Abstract: Capabilities relevant to Physical AI can arise from materially different formation histories, yet existing taxonomies organized by morphology, architecture, learning algorithm, task, or domain do not directly answer what gives rise…
arXiv:2609.09646v1 Announce Type: new Abstract: Semantic-gradient-based prompt optimization (SGPO) improves agent harnesses using execution feedback, but its local update rule leaves the choice of edit scope and operation unresolved. We introduce RobustSGPO, which specifies the…
arXiv:2609.09678v1 Announce Type: new Abstract: Clinical diagnosis agents must decide not only what test to request next, but also when to diagnose or defer. Existing agent benchmarks largely evaluate accuracy after fixed or unconstrained interaction, leaving autonomous stopping…
arXiv:2609.09664v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as personalized assistants that interact with users over extended periods of time. As conversations grow longer, relying on full interaction histories becomes increasingly…
arXiv:2609.09647v1 Announce Type: new Abstract: Agentic systems are rapidly moving to production, where they read untrusted inputs, call tools with real permissions, and act autonomously, expanding the security surface beyond chat-only models. Yet standard evaluations remain…