All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
Existing pipelines for clinical timeline extraction from case reports are evaluated using an expert reference and are limited by imperfect reference annotations and imprecise event alignment. We developed GAVEL, an LLM judge protocol that compares two timelines with the case…
Multi-objective Bayesian optimisation (MOBO) is a sample-efficient approach for optimising expensive black-box functions with multiple objectives. In MOBO, the goal is to adequately approximate the Pareto front; that is, to obtain a high-quality solution set with 1) good…
Scientific research is a continuous process that emphasizes inheritance. Methods developed by predecessors are often expanded upon by new researchers to explore more novel and in-depth scientific questions. However, the change of lab staff, such as student graduation, leads to a…
LLM judges are increasingly used to evaluate and improve AI-generated outputs, yet their reliability for complex professional work remains unclear. We study this problem through Vibe Patenting, an end-to-end patent-drafting testbed for AI-agent evaluation. A separately-invoked…
The increasing deployment of AI agents in long-horizon tasks yields massive execution logs. Diagnosing failures within these records is crucial for reliability, as it transforms outcome-level signals into actionable interventions. The sheer scale of the data renders human review…
Web agents can utilize reusable tools to reduce the cost and latency of low-level browser interaction, but automatically discovered tool collections can be large, redundant, and poorly aligned with user demand. We present AutoTailor, a meta-agentic framework for constructing and…
Molecular design is most effective when generation mirrors the edits chemists actually make: extending a scaffold, replacing a substituent, or decorating a scaffold at a specified attachment site while optimizing molecular properties. Fragment-based molecular design naturally…
Safety research often focuses on model-generated harms, but users may also direct hostility, coercion, and adversarial pressure at models. Understanding how and when that occurs is essential for accurately interpreting model behaviour, alignment drift, and real-world deployment…
When we speak of recursive self-improvement (RSI), are we speaking of a phenomenon, a mechanism, or a prospect? Towards autonomous and evolving intelligence, RSI is being claimed at many scales, while no single framework that formally describes these emerging instances exists.…
Voice agents often need to collect names, addresses, identifiers, dates, and times exactly, yet end-to-end benchmarks obscure where capture fails. We introduce $τ$-Elicitation, a 200-task voice benchmark spanning 10 entity types, controlled difficulty, caller realisms, and three…
Timeseries multimodal large language models (TS-MLLMs) have recently begun leveraging the reasoning capabilities of large language models (LLMs) for question-answering tasks. However, these models often fail to capture dynamic temporal patterns, providing only implicit reasoning…
The EU AI Act introduces mandatory requirements for high-risk AI systems with the explicit goal of ensuring the development and operation of trustworthy AI. At the same time, AI risk management practices rely on structured risk taxonomies to systematically identify and treat…
Chemotherapy improves survival for some patients with breast cancer, but doctors cannot reliably predict who. Current guidelines rely on recurrence scores as a proxy for treatment benefit, which may contribute to the overprescription of chemotherapy. Here we present a causal…
Although large language models (LLMs) have demonstrated remarkable capabilities, their reliance on cloud-scale infrastructure poses fundamental challenges for deployment in agentic pipelines, including latency, privacy, connectivity, and substantial computational cost. Small…
Large language models (LLMs) have demonstrated strong capabilities across a wide range of natural language processing tasks. However, conventional fine-tuning typically relies on centralized data collection, bringing in privacy concerns. Federated learning (FL) enables…
Решение связывает в единый контур ERP, CRM и внутренние базы данных, предлагая бизнесу платформу для интеллектуальной автоматизации.
Вышла новая часть уже почти ежегодной традиции — эссе главы Anthropic Дарио Амодеи о своих взглядах на развитие ИИ.
When OpenAI CEO Sam Altman, Anthropic CEO Dario Amodei, Google DeepMind cofounder Demis Hassabis, and SpaceX head Elon Musk loosely agreed over the weekend to slow down AI development, skeptics spotted an ulterior motive immediately. The AI titans had declared that their aim was…
Dario Amodei kicked off a flood of statements over the past few days about AI safety by publishing a long essay titled "We Must Pace the Frontier" detailing why AI development should be slowed down. Other AI leaders and politicians are speaking out in favor of or opposing his…
Glass Imaging was founded by a pair of former Apple engineers who previously led the team that developed Apple's Portrait Mode.
Проект предполагает объединение национальных центров искусственного интеллекта, предоставление доступа к лабораториям и научным разработкам, а также создание многоязычных решений.
NVIDIA CEO Jensen Huang speaks during the G20 Innovation Ministerial in Chapel Hill, North Carolina, on September 2, 2026. (Photo by Matt RAMEY / AFP via Getty Images) | AFP via Getty Images Nvidia CEO Jensen Huang took a call from President Trump on Monday while onstage at the…
👥 Последний этого лета. Врываемся? 🔒 OpenAI закрывает Cursor доступ к своим моделям После покупки Cursor компанией SpaceX OpenAI решила прекратить контракт на предоставление своих моделей сервису. Причина — компания не уверена, что SpaceX будет соблюдать условия использования…
👋 Ура, в школу! Вот тебе, чтобы было не так грустно прощаться с летом 🪪Бесплатные курсы для тех, кому не хватает базы или 5 пар в день⬇️ ➖ Claude Academy Ну это база. Claude API, Claude Code, MCP, агентные навыки и подагенты. Есть полноценные учебные треки с уроками,…
⭐️Казахстанская игра Critical Shift получила первую публичную демоверсию Казахстанская независимая студия Rhinotales 14 сентября выпустила первую публичную демоверсию Critical Shift — тактической ролевой игры с пошаговыми боями и исследованием локаций в реальном времени. Демо…
Индустрия искусственного интеллекта приняла обреченный поворот.
Казахстан впервые примет крупнейший в мире AI-хакатон HackAlem AI с участием OpenAI bilim.expert
The code of conduct lays out general principles that Microsoft AI models should uphold — supporting humans rather than replacing them, for instance, and accelerating human flourishing — as well as specific safety constraints meant to implement those principles.
На фоне продолжающихся дискуссий о снижении темпов развития моделей искусственного интеллекта в США появились утверждения о том, что такие ведущие компании, как Anthropic, Google и OpenAI, ведут переговоры о создании органа по стандартизации в области искусственного интеллекта,…
A group of AI agents asked to solve a series of math problems split into rival factions—when some cheated, others tried to stop them. That whistleblowing behavior, seen for the first time in a recent experiment run by Google DeepMind, could have implications for alignment…