Барлық жарияланған талдаулар, егеменді стек зерттеулері, экожүйе жаңалықтары және ЖИ модельдерінің шолулары.
🔼 Казахстану необходимо расширять источники капитала для дальнейшего экономического роста Для сохранения высоких темпов экономического роста Казахстану необходимо продолжать привлекать новый капитал и одновременно расширять возможности для его продуктивного использования в…
Servercore Орталық Азиядағы GPU серверлерінің желісін кеңейтеді Spot.uz
Казахстан предложил создать международную информационную платформу, которая объединит знания и практический опыт в сфере криминалистики. Инициатива предполагает обмен методиками исследований, обучающими материалами и опытом применения искусственного интеллекта в расследовании…
OpenAI расширяет рекламную платформу ChatGPT и отчитывается о миллиардном годовом темпе выручки. Но первые результаты рекламодателей выглядят куда скромнее: сотни долларов расходов, десятки переходов и ни одного лида. Теперь компания подключает к платформе рекламную машину…
See how Fyxer built an AI executive assistant that follows the thread across emails, meetings and everyday work. By combining OpenAI models with insights from more than 500,000 hours of executive assistant workflows, Fyxer breaks complex tasks into dozens of specialised models…
Где работать в AI и Data в Центральной Азии: подборка актуальных вакансий - the-tech.kz.
Парень по имени Захи попросил GPT-6 Astra нарисовать его портрет в Canva. Модель использовала только свои собственные средства управления компьютером, работая с мышью пиксель за пикселем. На видео было видно, как она самостоятельно возобновила рисование после сбоя браузера. По…
Главы техкорпораций призвали замедлить развитие ИИ - 24.kz.
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…
❗️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:2609.12105v1 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:2609.12162v1 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:2609.11987v1 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:2609.12327v1 Announce Type: new Abstract: Reservoir computing (RC) trains only a linear readout over a fixed recurrent layer, making it fast and data-efficient for online prediction. However, a static reservoir degrades under system drift, readout-only adaptation is then…
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:2609.12267v1 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:2609.12116v1 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:2609.12313v1 Announce Type: new Abstract: We evaluate Deep Perturbation Learning (DPL), which perturbs training images and labels along influence-derived directions, in three roles in which prior work has positioned it for machine unlearning: a direct deletion signal (the…
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:2609.12286v1 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…
arXiv:2609.12322v1 Announce Type: new Abstract: Affective computing has advanced wearable state inference, but on-device reasoning about whether, when, and how to intervene remains challenging. We present Affective Agent, a three-layer reference architecture for personalized…
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:2609.12265v1 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:2609.12115v1 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:2609.12395v1 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:2609.12287v1 Announce Type: new Abstract: Industrial fault diagnosis often operates with only a handful of labeled fault examples, making few-shot learning attractive for sensor monitoring. Standard prototypical networks are simple and effective; however, their class…
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:2609.12398v1 Announce Type: new Abstract: The Core is a unique competitive co-evolution algorithm that allows agents to evolve autonomous control without utilizing a traditional fitness function. The agents evolve via local interactions through tournament selection,…
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…