Large Language Models (LLMs) have become a cornerstone of AI, driving progress across diverse domains such as content creation, search and recommendation system...
Mathematical text understanding is a challenging task due to the presence of specialized entities and complex relationships between them. This study formulates ...
Intrinsically disordered regions of proteins play a crucial role in cell signaling and drug discovery. However, their high structural flexibility makes accurate...
This essay is about a neural implementation of the fuzzy cognitive map, the FHM, and corresponding evaluations. Firstly, a neural net has been designed to behav...
markdown Making Claude Code Generate Production‑Ready Code Tools like Cursor or Claude Code let you quickly generate large amounts of code, enabling rapid devel...
Predictive coding graphs (PCGs) are a recently introduced generalization to predictive coding networks, a neuroscience-inspired probabilistic latent variable mo...
Today we’re introducing Codex Security, our application‑security agent. It builds deep context about your project to identify complex vulnerabilities that other...
Descripthttp://descript.com/ is an AI‑native video editor built around a simple idea: if you can edit text, you should be able to edit video. Since Descript’s e...
March 6, 2026 Building brains for bulldozers Ryan chats with Kevin Peterson, CTO of Bedrock Robotics, about the evolution of self‑driving technology and why rob...
통합 AI 플랫폼 ‘데이터이쿠’, LLM옵스 프레임워크 구축, AI 에이전트 통제 관리 방안 제시 대부분의 기업에서 인공지능AI 에이전트를 실제 업무에 사용하고 있는 것으로 나타났다. 많은 기업이 핵심 프로세스에 에이전트를 사용하고 있을 만큼 적극 활용하고 있지만, AI의 환각이나 오...
Balyasny Asset Managementhttps://www.bamfunds.com/ Balyasny is a global, multi‑strategy investment firm with approximately 180 investment teams across diverse a...
Learning across domains is challenging when data cannot be centralized due to privacy or heterogeneity, which limits the ability to train a single comprehensive...
발표 개요 오픈AI가 최신 프론티어 모델인 GPT‑5.4를 공개했다. 마이크로소프트 오피스 제품군과 구글 워크스페이스에 통합돼 복잡한 문서 업무를 수행할 수 있다. 이번 버전에는 사용자 기기를 직접 조작하는 ‘컴퓨터 사용computer‑use’ 도구가 처음 포함되었다. 또한 마이크로소...
Advances in multi-modal generative models are enabling new applications, from storytelling to automated media synthesis. Most current workloads generate simple ...
Background The Pentagon has formally designated Anthropic as a supply‑chain risk, ordering federal agencies and defense contractors to stop using its AI tools...
This paper addresses the distributed stochastic minimax optimization problem subject to stochastic constraints. We propose a novel first-order Softmax-Weighted ...
The challenge of M&A due diligence A typical merger‑and‑acquisition process is time‑consuming and expensive, even for the largest, well‑staffed private‑equity...
High-quality 3D streaming from multiple cameras is crucial for immersive experiences in many AR/VR applications. The limited number of views - often due to real...
We introduce FaceCam, a system that generates video under customizable camera trajectories for monocular human portrait video input. Recent camera control appro...
Scaling imitation learning is fundamentally constrained by the efficiency of data collection. While handheld interfaces have emerged as a scalable solution for ...
Recent diffusion models enable high-quality video generation, but suffer from slow runtimes. The large transformer-based backbones used in these models are bott...
Efficient and stable training of large language models (LLMs) remains a core challenge in modern machine learning systems. To address this challenge, Reparamete...
We study two recurring phenomena in Transformer language models: massive activations, in which a small number of tokens exhibit extreme outliers in a few channe...
To scale the solution of optimization and simulation problems, prior work has explored machine-learning surrogates that inexpensively map problem parameters to ...
Large language models sometimes produce false or misleading responses. Two approaches to this problem are honesty elicitation -- modifying prompts or weights so...
We provide evidence of performative chain-of-thought (CoT) in reasoning models, where a model becomes strongly confident in its final answer, but continues gene...
As AI models progress beyond simple chatbots into more complex workflows, we draw ever closer to the event horizon beyond which AI systems will be utilized in a...
While datasets for video understanding have scaled to hour-long durations, they typically consist of densely concatenated clips that differ from natural, unscri...
Estimating heterogeneous treatment effects (HTEs) from right-censored survival data is critical in high-stakes applications such as precision medicine and indiv...
Singular statistical models-including mixtures, matrix factorization, and neural networks-violate regular asymptotics due to parameter non-identifiability and d...
Hyperspectral images (HSI) have many applications, ranging from environmental monitoring to national security, and can be used for material detection and identi...
Trustworthiness is a core research challenge for agentic AI systems built on Large Language Models (LLMs). To enhance trust, natural language claims from divers...
Real-time reconstruction of conditional quantum states from continuous measurement records is a fundamental requirement for quantum feedback control, yet standa...
Hallucinations remain a persistent challenge for vision-language models (VLMs), which often describe nonexistent objects or fabricate facts. Existing detection ...
Single-object tracking (SOT) on edge devices is a critical computer vision task, requiring accurate and continuous target localization across video frames under...
Reading comprehension systems for low-resource languages face significant challenges in handling unanswerable questions. These systems tend to produce unreliabl...
The process of debating is essential in our daily lives, whether in studying, work activities, simple everyday discussions, political debates on TV, or online d...
Diffusion Language Models (DLMs) promise highly parallel text generation, yet their practical inference speed is often bottlenecked by suboptimal decoding sched...
Attention, as a core layer of the ubiquitous Transformer architecture, is the bottleneck for large language models and long-context applications. While FlashAtt...
Establishing common ground, a shared set of beliefs and mutually recognized facts, is fundamental to collaboration, yet remains a challenge for current AI syste...
Current video generation models cannot simulate physical consequences of 3D actions like forces and robotic manipulations, as they lack structural understanding...
The potential of generative AI GenAI to revolutionize business processes is undeniable. From automated customer service agents to complex internal business inte...
We focus on the task of retrieving nail design images based on dense intent descriptions, which represent multi-layered user intent for nail designs. This is ch...
Imitation Learning (IL) enables agents to mimic expert behavior by learning from demonstrations. However, traditional IL methods require large amounts of medium...
Reasoning models think out loud, but much of what they say is noise. We introduce OPSDC (On-Policy Self-Distillation for Reasoning Compression), a method that t...
Practitioners have access to an abundance of language models and prompting strategies for solving many language modeling tasks; yet prior work shows that modeli...
The Script Behind AI Design Feedback You’ve probably heard this feedback before: - “The hierarchy is clear.” - “The visual rhythm is consistent.” Maybe it even...
Anthropic is reportedly trying to reach a new deal with the U.S. Defense Department to avoid being labeled a supply‑chain risk. According to reporting from the...
