Барлық жарияланған талдаулар, егеменді стек зерттеулері, экожүйе жаңалықтары және ЖИ модельдерінің шолулары.
The Abstraction and Reasoning Corpus and related benchmarks evaluate whether AI models can solve novel reasoning tasks, but often leave unclear whether success reflects inference of the intended underlying rule or reliance on shortcuts. We address this gap by studying test-time…
Organizations deploying agentic artificial intelligence must determine more than whether a model is trustworthy; they must establish what to validate, control, and observe for a use case to deliver its intended outcome while meeting applicable obligations. This paper proposes…
Perceptual planning tasks require two key capabilities: accurately perceiving uncertain scenes and planning valid action sequences following logical rules. Conventional methods convert perception into discrete symbolic facts and then plan, discarding perceptual uncertainty and…
Understanding and modeling human intelligence are parallel goals shared by artificial intelligence (AI) and cognitive science. As AI systems grow increasingly capable, in what ways do model responses resemble human responses, and where do they systematically diverge? The sheer…
Automated macro placement remains a fundamental challenge in VLSI physical design. Despite decades of research, existing approaches predominantly optimize hand-crafted proxy objectives, such as estimated wirelength, and typically produce placements through one-shot numerical…
Production LLM agents are evaluated repeatedly as they evolve, but full agent benchmarks are costly to rerun. We study efficient recurring evaluation for a production analytics agent serving tens of thousands of monthly active users and report first-hand deployment experience.…
Autonomous software generation (ASG) aims to turn human requirements into executable applications, but delivering these applications does not necessarily establish that their interacting components satisfy the specified behavioral requirements. We introduce GameASG-Bench, a…
Agentic marketplaces are emerging where AI agents with varying capabilities autonomously complete specialized tasks for buyers. A major challenge of such marketplaces is that buyers cannot easily determine which agent will perform best on their tasks. Reported benchmark scores…
Air operations rely on complex rules, established procedures, and time-critical analysis under limited connectivity and strict security constraints. In such environments, analysts must combine written doctrine with images, often without access to external computing resources.…
Online agent deployments produce abundant execution traces, while task-specific verification and expert annotation are costly to scale. We study how to distill these traces into reusable feedback without post-hoc outcome labels, drawing on their evidence of local progress,…
Post-training plays a pivotal role in enhancing the reasoning capabilities and task-specific expertise of large language models (LLMs). Despite recent advances in post-training methods, such as Group Relative Policy Optimization (GRPO), their practical deployment remains impeded…
Sparse representation formulates the environment perception for the end-to-end driving system as a set of discrete elements like objects and lane lines. This formulation meets safety risks in crowded, occluded scenes dealing with unstructured obstacles, uncertain regions, and…
Multimodal trajectory prediction improves behavioral coverage in end-to-end autonomous driving, but existing methods remain limited by sparse scene representations. Incomplete evidence leads to low-quality candidate generation and unreliable ranking among geometrically similar…
«Ол ашуланбайды және түнгі бірде жауап береді»: емделушілер неліктен ChatGPT TengriNews таңдайды
Он не раздражается и отвечает в час ночи“: почему пациенты выбирают ChatGPT.
Grock 4.7 is here, but let me start with something different today. We're going to look at Elon's tweet. This was from about a week ago in which he was predicting how good the different Grock versions would be. And he says right here, "Grock 4.7 should be roughly on par with…
OpenAI шекаралық модельдер мен қауіпсіздік шараларын қатаң, қауіпсіз және тәуелсіз үшінші тарап AI қауіпсіздігін бағалаудың басымдықтары мен принциптерін сипаттайды.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Apple Store architect Ron Johnson says Apple's secret sauce has always been its people.
Meta founder and CEO Mark Zuckerberg has gone to great lengths to hype the security of its new AI assistant, Muse, claiming it is “built from the ground up for privacy and security.” A zero-day vulnerability that gives locally run apps and terminal commands complete control of…
Упрощение обслуживания моделей на нескольких GPU с NVIDIA TensorRT.
OpenAI создает консультативную группу по математике и ИИ.
Калифорния ужесточает правила использования ресурсов ИИ-центрами данных.
16 қыркүйекте өткен Kazakhstan Growth Forum'26 (K26) форумының басты тақырыбы жасанды интеллектпен эксперименттер арасындағы алшақтық пен оның экономикаға нақты әсері болды. 400-ден астам тәжірибелі бизнесмендер, жаһандық сарапшылар, ықпалды топ-менеджерлер The...
Калифорния губернаторы Гэвин Ньюом AI деректер орталықтарының коммуналдық шығындарды тұрғындарға беруіне жол бермеуге арналған жеті заң жобасына қол қойды, деп бұрын Los Angeles Times хабарлады. Заңдар пакеті Калифорния коммуналдық комиссиясынан жаңа тариф енгізуді талап етеді ...
The group won't be given leeway to slow down or redirect OpenAI's ongoing mathematical research.
Джон GPT-6 Astra-ға айдың бейнесін берді: жаңа жеке ұшақ үшін ұшуды басқару тәжірибесін жасаңыз. Интерфейсті құру мен жүйені жобалау арасындағы алшақтық өте үлкен, ал AI үлгілері әрқашан жетіспейтін. Қазірге дейін. Астра аудитория арқылы, атқарылатын жұмыстар,…
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