Research1 мин
NVIDIA выпустила cuDSS для ускорения инженерных и научных симуляций
NVIDIA представила cuDSS, библиотеку для ускорения инженерных симуляций на GPU.
SMNTCN (Semanticon) — глобальные новости ИИ
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Research1 мин
NVIDIA Cloud Partners расширяют инфраструктуру ИИ в Европе
NVIDIA сообщает о расширении облачной инфраструктуры ИИ в Европе для разработчиков.
SMNTCN (Semanticon) — глобальные новости ИИ
Research1 мин
Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories
A Blog post by NVIDIA on Hugging Face
Hugging Face Blog
Startups1 мин
OpenAI Invests in Startup That Uses Brain Implants to Detect Cancer
It’s the latest in a growing wave of bets that AI companies are making on brain data.
Wired — Artificial Intelligence
Policy & regulation1 мин
ИИ-агенты – ВСЁ, что тебе нужно знать
turning models into agents. This is an agent that interacts with the web and completes tasks. HR department for AI agents of the future. >> We are launching a ChatGPT agent. >> You have heard this word hundreds of thousands of times, but still haven't figured out what it means…
YouTube — ProdAdvice
Research1 мин
NVIDIA расширяет открытые модели для языков и робототехники в Европе
NVIDIA расширяет открытые модели для языков, робототехники и биологии.
SMNTCN (Semanticon) — глобальные новости ИИ
Research1 мин
OpenAI выложила бенчмарк MultiLangBench и проверила GPT-6 на редких языках
📌 OpenAI выложила бенчмарк MultiLangBench и проверила GPT-6 на редких языках Набор проверяет, как модели пишут большой проект на 20 языках, включая COBOL, Fortran, OCaml и Visual Basic. По ним в сети на порядки меньше кода и документации, чем по Python или JavaScript, хотя, по…
Telegram — AI Machine Learning Big Data
Policy & regulation1 мин
Anthropic предложила блокировать ИИ-модели, если они могут привести к гибели 50 человек
⚖️ Anthropic предложила блокировать ИИ-модели, если они могут привести к гибели 50 человек По данным Politico, компания подготовила законопроект, который позволит через суд останавливать выпуск потенциально опасных нейросетей. Основанием станет непосредственная угроза гибели…
Telegram — GPT Time | Нейросети | ИИ
Research1 мин
LLM умеют генерировать тексты, отвечать на вопросы и работать с документами. Но чтобы использовать их в реальных з...
🦾 LLM умеют генерировать тексты, отвечать на вопросы и работать с документами. Но чтобы использовать их в реальных задачах, важно понимать, как модели принимают решения и почему иногда дают неожиданный результат. 🚀 На открытом уроке разберём, как устроены большие языковые…
Telegram — AI Machine Learning Big Data
Research1 мин
Claude Science tackles deadly scorpion stings by designing protein binders from scratch
Anthropic's Claude independently designed protein binders targeting deadly scorpion neurotoxins. Out of more than 318,000 designs, 211 were tested in the lab. Seventeen met the criteria, and the two strongest bind extremely tightly to Cn2, a toxin from a Mexican scorpion.…
The Decoder
Startups1 мин
OpenAI acquires Orchestra Bio to build AI agents that speed up drug development
OpenAI is acquiring startup Orchestra Bio and plans to merge it with its life sciences AI platform Rosalind. The goal is to build AI agents that help pharma teams coordinate drug development, from tracking trials to spotting problems. Developing a new drug in the US takes ten to…
The Decoder
Research1 мин
Теперь в API OpenAI можно кэшировать промпты на срок до 12 часов, а для авторизованных пользователей Codex и Work кэш...
Теперь в API OpenAI можно кэшировать промпты на срок до 12 часов, а для авторизованных пользователей Codex и Work кэш хранится бессрочно. Это означает, что даже спустя несколько часов можно вернуться к старой задаче и продолжить работу с гарантированным попаданием в кэш. Меньше…
Telegram — Вайб-кодинг
Research1 мин
Did Google just dethrone OpenAI and Anthropic?
Last week, gas changed the world forever. Twice a Tesla finally unveiled the Roadster and its ability to fly by farting cold gas. But while Elon was busy pulling off his greatest magic trick, Google was cooking up a noble gas of its own, Gemini 4 Argon, which is the most…
YouTube — Fireship AI
Research1 мин
Build a Better Shopping Experience with OpenAI | Shopping Agent Demo
I've logged into Vasper and Alder, a fictitious homegoods app. I'm going to use their shopping agent to restyle my room. Let's give this a shot. I'm hosting some people for the holidays. And could you give me some ideas to make this corner of my room warmer? I'm thinking a…
YouTube — OpenAI Official
Research1 мин
OpenAI reported that approximately 40,000 Codex accounts had usage limits set incorrectly, causing...
OpenAI reported that approximately 40,000 Codex accounts had usage limits set incorrectly, causing credits to be used up faster than expected. The problem has already been fixed, and affected users will receive compensation. Free loans from $500 to...
Telegram — Вайб-кодинг
Research1 мин
EDMA: Entropy-Driven Multimodal Answering
arXiv:2610.27120v1 Announce Type: new Abstract: Multimodal question answering (MMQA) is based on integrating heterogeneous data sources, selectively leveraging relevant modalities, and ignoring distractors. Existing approaches based on Multimodal Large Language Models (MLLMs)…
arXiv — cs.AI
Research1 мин
DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution
arXiv:2610.26924v1 Announce Type: new Abstract: General-purpose agents are increasingly expected to perform professional analytics work, which requires sustained reasoning, iterative investigation, and reliable evidence. Training these capabilities requires diverse and…
arXiv — cs.AI
Research1 мин
Sparse RL Relaxation for LLM Reasoning
arXiv:2610.27220v1 Announce Type: new Abstract: Recent work has explored continuous representations in place of discrete tokens during Chain-of-Thought (CoT) reasoning, often referred to as soft CoT. This is motivated by the idea that a mixture of token embeddings can represent…
arXiv — cs.AI
Research1 мин
MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring
arXiv:2610.26913v1 Announce Type: new Abstract: The adoption of Large Language Models for radiology report structuring has been largely dominated by either proprietary cloud-based models or large open models requiring high-end GPUs for deployment, which is a critical bottleneck…
arXiv — cs.AI
Research1 мин
Industrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing
arXiv:2610.26941v1 Announce Type: new Abstract: Large language models (LLMs) are enabling agents to move beyond predefined workflows toward autonomous planning and execution, creating new opportunities for smart manufacturing. However, dynamic environments, complex physical…
arXiv — cs.AI
Research1 мин
Physical AI: Concepts, Techniques, and Challenges
arXiv:2610.27045v1 Announce Type: new Abstract: In recent years, physical artificial intelligence (physical AI) has experienced rapid development, capturing significant attention in academia and industry. However, the field has yet to reach consensus on its definition, technical…
arXiv — cs.AI
Research1 мин
M-Plan: Comprehensive Planning For LLM Agents with Memory Arrangement
arXiv:2610.27032v1 Announce Type: new Abstract: Large language model (LLM)-based agents have recently demonstrated outstanding performance in single-turn tasks, yet they continue to struggle with long-horizon tasks, particularly in environments without prior training. A key…
arXiv — cs.AI
Research1 мин
Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training
arXiv:2610.26887v1 Announce Type: new Abstract: Large language model (LLM) agents are evolving from conversational assistants into Cowork Agents capable of autonomous planning, tool use, and complex task execution. Financial analysis requires these agents to integrate…
arXiv — cs.AI
Research1 мин
Omni-Woodpecker: Hallucination Correction via Evidence-Prior Rebalancing for Omni LLMs
arXiv:2610.27103v1 Announce Type: new Abstract: Recent Omni LLMs (OLLMs) have demonstrated remarkable capabilities in joint audio-visual reasoning, yet cross-modal hallucinations remain a major challenge. Existing mitigation methods mainly operate at the output level,…
arXiv — cs.AI
Research1 мин
A general-purpose System One decision model for clinical records
arXiv:2610.27099v1 Announce Type: new Abstract: Clinical care, health-system operations and biomedical discovery depend on extracting reliable answers from patient records, yet applying diverse clinical questions across entire populations remains computationally expensive. Here…
arXiv — cs.AI
Research1 мин
MAMath-Bench: Process-Aware and Robust Evaluation of Multimodal Multi-Agent Mathematical Reasoning
arXiv:2610.26943v1 Announce Type: new Abstract: Mathematical reasoning is a fundamental capability for educational applications of Large Language Models (LLMs), where reliable problem solving requires not only correct answers but also coherent and verifiable reasoning processes.…
arXiv — cs.AI
Research1 мин
LightCRS: Lightweight Multi-Domain Conversational Recommendation System
arXiv:2610.26948v1 Announce Type: new Abstract: Conversational recommender systems have recently adopted vision-language models to match user dialogue intents with multimodal product information. However, extending these methods to many product domains faces a dilemma: deploying…
arXiv — cs.AI
Research1 мин
Teaching AI Agent to Play Poker Strategically Through Preference Optimization
arXiv:2610.27028v1 Announce Type: new Abstract: A poker agent can make a legal move and still make a strategically poor one. We ask whether compact AI agents can exhibit strategic behavior under hidden information and whether preference optimization can improve beyond static and…
arXiv — cs.AI
Research1 мин
ReuF2F: Benchmarking Coding Agents on Formalized Undergraduate Research Problems
arXiv:2610.27046v1 Announce Type: new Abstract: As AI systems begin to resolve open research problems, reliable verification becomes increasingly important. Formal mathematics provides a trusted framework for mathematical reasoning, enabling agents to produce machine-checkable…
arXiv — cs.AI
Research1 мин
Pareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models
arXiv:2610.26904v1 Announce Type: new Abstract: Recent studies have proposed reinforcement learning with verifiable rewards (RLVR) methods that enable LLMs to generate high-quality RTL circuits from natural-language specifications. Existing approaches optimize circuit PPA…
arXiv — cs.AI