Policy & regulation1 мин
Как Минтранс РК внедряет искусственный интеллект на дорогах страны - Вечерний Алматы
Как Минтранс РК внедряет искусственный интеллект на дорогах страны - Вечерний Алматы.
Поиск: ИИ в Казахстане
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Policy & regulation1 мин
ИИ и «умные пешеходы»: как в Казахстане усиливают контроль на дорогах
▶️ ИИ и «умные пешеходы»: как в Казахстане усиливают контроль на дорогах МВД расширяет использование цифровых систем для контроля за безопасностью дорожного движения. О результатах на заседании Правительства рассказал министр внутренних дел Ержан Саденов. Камер стало больше…
Telegram — BlueScreen.kz
Research1 мин
UN warns: AI agent protection systems are starting to fail
The UN's independent international scientific panel on artificial intelligence has called for a review of existing approaches to AI safety. Experts believe that as agents become more autonomous, traditional control mechanisms may no longer cope with their tasks,...
Tech-news.kz
General1 мин
Grok 4.7 is finally out - the release was delayed by almost a month
Grok 4.7 наконец вышел — релиз задержался почти на месяц.
Telegram — GPT Time | Нейросети | ИИ
Infrastructure1 мин
Зачем турецкий оператор Türk Telekom заходит в Казахстан и как дата-центр Akashi ускорит работу банков с биржами Европы
AKASHI Data Center PLC и подразделение оператора Türk Telekom подписали меморандум о сотрудничестве. Зачем этот проект глобальным гиперскейлерам и как он ускорит работу банков с биржами Европы?
DigitalBusiness.kz
Research1 мин
Grok 4.7 has been released - the new flagship xAI model for programming and AI agents
🆕 Grok 4.7 released - xAI's new flagship model for programming and AI agents xAI introduced Grok 4.7 - a new model designed primarily for programming, working with documents and long-term tasks for AI agents. 🔔 One of the main changes is the ability to...
Telegram — BlueScreen.kz
General1 мин
Китай снова в игре: Xiaomi ночью выпустила MiMo-V2.6 Pro и Flash и результаты очень сильные.
Китай снова в игре: Xiaomi ночью выпустила MiMo-V2.6 Pro и Flash и результаты очень сильные. Xiaomi потратила 130 часов, 75 млрд токенов и $2,6 млн на RL, чтобы вывести MiMo-V2.6 Pro на первое место среди открытых моделей. И у них получилось. AA Intelligence Index — 46,32, выше…
Telegram — Вайб-кодинг
Knowledge base1 мин
Vision Hall | Day 2 [EN] | Live Stream — AI & DIGITAL BRIDGE 2026
Live broadcast from the Vision Hall: panel sessions and keynote speeches of the AI & DIGITAL BRIDGE 2026 forum. Audio track language: English. Broadcast of this hall in other languages: Қазақ тілінде: https://youtube.com/live/M8PSR_di74w?feature=share На русском:…
YouTube — Astana Hub Official
Knowledge base1 мин
Vision Hall | 2-күн [KZ] | Тікелей эфир — AI & DIGITAL BRIDGE 2026
Vision Hall залынан тікелей эфир: AI & DIGITAL BRIDGE 2026 форумының панельдік сессиялары мен спикерлердің баяндамалары. Аудиожол тілі: Қазақ тілі. Бұл залдың басқа тілдердегі трансляциясы: На русском: https://youtube.com/live/gUykUfrAd90?feature=share In English:…
YouTube — Astana Hub Official
Knowledge base1 мин
Vision Hall | День 2 [RU] | Прямой эфир — AI & DIGITAL BRIDGE 2026
Прямая трансляция из зала Vision Hall: панельные сессии и выступления спикеров форума AI & DIGITAL BRIDGE 2026. Язык дорожки: Русский. Трансляция этого зала на других языках: Қазақ тілінде: https://youtube.com/live/M8PSR_di74w?feature=share In English:…
YouTube — Astana Hub Official
Knowledge base1 мин
Shanyraq Hall | Day 2 [EN] | Live Stream — AI & DIGITAL BRIDGE 2026
Live broadcast from the Shanyraq Hall: panel sessions and keynote speeches of the AI & DIGITAL BRIDGE 2026 forum. Audio track language: English. Broadcast of this hall in other languages: Қазақ тілінде: https://youtube.com/live/C7Kn9Gm8H5I?feature=share На русском:…
YouTube — Astana Hub Official
Knowledge base1 мин
Shanyraq Hall | 2-күн [KZ] | Тікелей эфир — AI & DIGITAL BRIDGE 2026
Shanyraq Hall залынан тікелей эфир: AI & DIGITAL BRIDGE 2026 форумының панельдік сессиялары мен спикерлердің баяндамалары. Аудиожол тілі: Қазақ тілі. Бұл залдың басқа тілдердегі трансляциясы: На русском: https://youtube.com/live/LQ4nfzUDZGI?feature=share In English:…
YouTube — Astana Hub Official
Knowledge base1 мин
Shanyraq Hall | День 2 [RU] | Прямой эфир — AI & DIGITAL BRIDGE 2026
Прямая трансляция из зала Shanyraq Hall: панельные сессии и выступления спикеров форума AI & DIGITAL BRIDGE 2026. Язык дорожки: Русский. Трансляция этого зала на других языках: Қазақ тілінде: https://youtube.com/live/C7Kn9Gm8H5I?feature=share In English:…
YouTube — Astana Hub Official
Knowledge base1 мин
Steppe Hall | Day 2 [EN] | Live Stream — AI & DIGITAL BRIDGE 2026
Live broadcast from the Steppe Hall: panel sessions and keynote speeches of the AI & DIGITAL BRIDGE 2026 forum. Audio track language: English. Broadcast of this hall in other languages: Қазақ тілінде: https://youtube.com/live/7Gc6HLrxrMg?feature=share На русском:…
YouTube — Astana Hub Official
Knowledge base1 мин
Steppe Hall | 2-күн [KZ] | Тікелей эфир — AI & DIGITAL BRIDGE 2026
Steppe Hall залынан тікелей эфир: AI & DIGITAL BRIDGE 2026 форумының панельдік сессиялары мен спикерлердің баяндамалары. Аудиожол тілі: Қазақ тілі. Бұл залдың басқа тілдердегі трансляциясы: На русском: https://youtube.com/live/7cRBIpp58ic?feature=share In English:…
YouTube — Astana Hub Official
Knowledge base1 мин
Steppe Hall | День 2 [RU] | Прямой эфир — AI & DIGITAL BRIDGE 2026
Прямая трансляция из зала Steppe Hall: панельные сессии и выступления спикеров форума AI & DIGITAL BRIDGE 2026. Язык дорожки: Русский. Трансляция этого зала на других языках: Қазақ тілінде: https://youtube.com/live/7Gc6HLrxrMg?feature=share In English:…
YouTube — Astana Hub Official
Knowledge base1 мин
Eurasian Hall | Day 2 [EN] | Live Stream — AI & DIGITAL BRIDGE 2026
Live broadcast from the Eurasian Hall: panel sessions and keynote speeches of the AI & DIGITAL BRIDGE 2026 forum. Audio track language: English. Broadcast of this hall in other languages: Қазақ тілінде: https://youtube.com/live/Ie-BTopxPS4?feature=share На русском:…
YouTube — Astana Hub Official
Knowledge base1 мин
Eurasian Hall | 2-күн [KZ] | Тікелей эфир — AI & DIGITAL BRIDGE 2026
Eurasian Hall залынан тікелей эфир: AI & DIGITAL BRIDGE 2026 форумының панельдік сессиялары мен спикерлердің баяндамалары. Аудиожол тілі: Қазақ тілі. Бұл залдың басқа тілдердегі трансляциясы: На русском: https://youtube.com/live/WjC7nVaeyyg?feature=share In English:…
YouTube — Astana Hub Official
Knowledge base1 мин
Eurasian Hall | День 2 [RU] | Прямой эфир — AI & DIGITAL BRIDGE 2026
Прямая трансляция из зала Eurasian Hall: панельные сессии и выступления спикеров форума AI & DIGITAL BRIDGE 2026. Язык дорожки: Русский. Трансляция этого зала на других языках: Қазақ тілінде: https://youtube.com/live/Ie-BTopxPS4?feature=share In English:…
YouTube — Astana Hub Official
Research1 мин
OpenAI researcher Alice Liu completed 57 interviews before joining the company, and then publicly published...
Исследователь OpenAI Алиса Лю прошла 57 собеседований перед тем, как попасть в компанию, а затем открыто опубликовала....
Telegram — Вайб-кодинг
Research1 мин
RBS-Attention: Radius-Bounded Sparse Prefill for Long-Context Large Language Models
Long-context large language model inference is increasingly limited by prefill, where dense self-attention processes the entire prompt before generation begins. Sparse block selection can reduce this cost, but a block centroid may hide a highly relevant token among many…
arXiv — cs.AI
Research1 мин
Attention-Aware Routing: Coupling Routing and Attention in MoEs
In Mixture-of-Experts language models, the router typically selects and weights experts based on the token's hidden state, utilizing limited contextual information. We propose Attention-Aware Routing (AAR), which augments the router with temporal and spectral features extracted…
arXiv — cs.AI
Research1 мин
CaLR: Causal Latent Revision for Robust Diffusion Reasoning
Autoregressive (AR) models suffer from local greediness, while diffusion language models (DLMs) often lack the strict causal structure required for reasoning. To combine the advantages and overcome the drawbacks of the dual, we propose Causal Latent Revision (CaLR), a framework…
arXiv — cs.AI
Research1 мин
LoRA Enhanced Contrastive Learning with SAS Vision Transformers
Automatic target recognition (ATR) with synthetic aperture sonar (SAS) supports advanced naval capabilities, but deep learning is constrained by scarce target imagery, background clutter, and human-in-the-loop assessment. We adapt DINOv3 Vision Transformer (ViT) models to…
arXiv — cs.AI
Research1 мин
Detecting Hallucination in LLMs: Tracing the Topological Signatures of Impaired Context Sharing
In this work, we examine the topology of information flow patterns within attention graphs to effectively distinguish hallucinated from non-hallucinated responses. We analyze the Forman-Ricci curvature to identify structural patterns indicating information bottlenecks in…
arXiv — cs.AI
Research1 мин
Decoupling Internal Representational Changes and Causal Importance in Fine-Tuned Large Language Models
Fine-tuning has emerged as a widely adopted approach for adapting LLMs to a variety of downstream tasks. However, how it reshapes their internal mechanisms remains poorly understood. To address this, we investigate how fine-tuning alters internal representations in LLMs,…
arXiv — cs.AI
Research1 мин
TinyCeNN-LM: Quality-Gated Conversion of Pretrained Attention with CeNN-Inspired Cellular-Recurrent Layers
Replacing attention in a pretrained language model is a compatibility problem: a plausible substitute may alter representations expected by later layers. TinyCeNN-LM introduces a \emph{quality-gated post-training conversion} framework using CeNN-inspired cellular-recurrent…
arXiv — cs.AI
Research1 мин
Clinician-Grounded Quality Assurance for AI-Assisted Psychiatric Intake
Before patients can use AI-assisted psychiatric intake systems, health systems need practical ways to routinely evaluate these tools against their clinical standards for quality assurance. Because clinicians may use different intake styles, evaluation for this task must (1)…
arXiv — cs.AI
Research1 мин
Can Agents Design Better Chips with a Higher Level Abstraction?
Large Language Model (LLM) agents are increasingly being explored for chip design, but most existing approaches operate directly at RTL. We ask whether agents can design better chips by leveraging higher-level abstractions. We compare Direct RTL Design, Agent-based HLS Design,…
arXiv — cs.AI
Research1 мин
Information-Gain Rewards over Diversity-Pruned Tests: GT-Anchored Verifier Co-Training for Reliable Code Generation
Self-play methods that co-train a single language model as both coder and test author promise to move code-generation RL beyond fixed test suites, but they suffer from two coupled pathologies: permissiveness collapse, where pass-rate rewards are maximised by trivial,…
arXiv — cs.AI