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统一搜索会同时返回事件、原始来源、采集文档和知识节点。结果按匹配度、来源强度、风险和确认状态排序。
Build an AI-powered AWS support companion with Amazon Bedrock AgentCore
In this post, you build an AWS Support Companion using Amazon Bedrock AgentCore. The agent uses Strands Agents as the orchestration framework and connects to AWS services through the Model Context Protocol (MCP). By the end, you have a working agent that can analyze CloudWatch logs, search AWS documentation, query community knowledge from AWS re:Post, and create support cases, all from a single conversational interface. The solution deploys with a single script using AWS CloudFormation and includes a web frontend built on AWS Amplify for interacting with the agent.
匹配采集文档中文标题、摘要、原始来源或文档类型。情感计算边界
情绪识别和陪伴产品应区分体验优化、心理健康声明、敏感数据处理和独立证据。
匹配知识节点、相关术语或方法论说明。Are glucose monitors a good thing for 2-year-olds? Experts look at risks, benefits
The newly approved over-the-counter CGM offers a new approach to tackling childhood obesity but also raises a host of questions.
匹配采集文档中文标题、摘要、原始来源或文档类型。Co-expressed microRNAs associated with elevated psychometabolic risk phenotype in women during midlife.
Front Endocrinol (Lausanne); PubMed ID 13337358.
匹配采集文档中文标题、摘要、原始来源或文档类型。Max Out GRPO Signal: Adaptive Trace Prefix Control for Hard Reasoning Problems
Group Relative Policy Optimization (GRPO) stalls on a model's hardest problems: when no rollout in a group succeeds, the group-relative advantages vanish and the problem contributes no gradient, wasting the frontier examples we most want to learn from. Prepending a correct prefix of a reference solution raises the success rate, making prefix length a continuous knob on difficulty. Concurrent methods set the knob once; AdaPrefix-GRPO turns it into a feedback controller: throughout training it adjusts how much of the solution each problem gets, holding its success rate near 50%, where GRPO's gra
匹配采集文档中文标题、摘要、原始来源或文档类型。How Data Shapes RoPE Frequency Usage: From Positional Scale Matching to Length Generalization
Rotary Position Embeddings (RoPE) provide transformers with a fixed grid of positional frequencies, yet trained models use these frequencies highly non-uniformly. We study what determines this frequency usage and propose a data-centered explanation: RoPE frequencies are selected to match the relative-distance structure of the training data. Viewing each frequency as a positional lens, we formalize a field-resolution tradeoff and show that, for a data-induced dependency profile of width $W$, the optimal frequency scales as $1/W$. This frequency-matching principle explains controlled observation
匹配采集文档中文标题、摘要、原始来源或文档类型。Build a serverless image editing agent with Amazon Bedrock AgentCore harness
This post walks through building a serverless image editor where users upload a photo, describe an edit in plain English, and receive the result in seconds. The agent runs on AgentCore harness without custom orchestration code. We deploy the full solution, including authentication, encrypted storage, three image editing tools, and a React frontend, with a single deployment command. The infrastructure is defined using AWS Cloud Development Kit (AWS CDK).
匹配采集文档中文标题、摘要、原始来源或文档类型。肿瘤治疗方案的急性风险监测
临床试验：NCT07601802｜癌症，急性护理服务使用
匹配采集文档中文标题、摘要、原始来源或文档类型。监管路径
把试验阶段、主要终点、安全性、适应症和监管沟通分开看，不把临床更新等同于疗效结论。
匹配知识节点、相关术语或方法论说明。陪伴依恋风险
关注用户依恋、未成年人、退出机制、数据留存和人机关系边界。
匹配知识节点、相关术语或方法论说明。Co-LMLM: Continuous-Query Limited Memory Language Models
Limited memory language models (LMLMs) externalize factual knowledge during pretraining to a knowledge base (KB), rather than memorizing it in their weights. During generation, the model then fetches knowledge from the KB as needed. This recently introduced paradigm provides multiple advantages, including knowledge control capabilities that remain beyond conventional LLMs. We propose continuous-query LMLM (CO-LMLM), where the KB pairs continuous keys with textual knowledge values, a significant departure from prior reliance on relational KB and queries. CO-LMLM generates flexible vector querie
匹配采集文档中文标题、摘要、原始来源或文档类型。Laurie Santos: Americans and the Pursuit of Happiness
On “The Interview,” Laurie Santos, a cognitive scientist and a professor at Yale, says that Americans think about happiness in unique ways, and they have for a long time.
匹配采集文档中文标题、摘要、原始来源或文档类型。STAT+：美国法官阻止科罗拉多州对 Amgen 药物实施首创价格上限
一名联邦法官阻止科罗拉多州小组对 Amgen 销售的重磅药物 Enbrel 设定价格上限。
匹配采集文档中文标题、摘要、原始来源或文档类型。Guidance Breaks the Fitted Operator: A Terminal-Fitted Repair for Classifier-Free Guidance
Classifier-free guidance (CFG) is the standard way to strengthen class-conditioning in diffusion and flow-matching samplers, yet at large guidance it oversaturates and destabilizes, symptoms practitioners suppress with more steps or limited-interval schedules. We analyze CFG through an asymptotic-preserving, numerical-analysis lens. Building on a recent result that the deterministic DDIM step is the unique fitted operator for the unguided terminal layer, exact on the final small-sigma stretch of sampling, we show that guidance re-stiffens exactly the discriminative subspace to an anomalous exp
匹配采集文档中文标题、摘要、原始来源或文档类型。The Influence of Artificial Intelligence on Recruitment and Selection Practices: Evidence from KPMG East Africa
IOSR Journal of Humanities and Social Science | article | This study examines the influence of artificial intelligence (AI) technologies on recruitment and selection processes at KPMG East Africa, focusing on their impact on efficiency, candidate experience, and ethical and regulatory considerations. Employing a case study design, data were collected from 50 human resource (HR) professionals using structured questionnaires. Descriptive statistics, Pearson correlation, and multiple linear regression analyses were conducted using SPSS. The findings indicate that AI technologies exert a strong, s
匹配采集文档中文标题、摘要、原始来源或文档类型。SEC to Host Virtual Roundtable on Modernizing IPOs and Expanding Access to Public Markets
The Securities and Exchange Commission’s Office of the Advocate for Small Business Capital Formation and the Division of Corporation Finance will co-host a livestreamed discussion on Monday, July 13, 2026, at 2 p.m. to re-examine…
匹配采集文档中文标题、摘要、原始来源或文档类型。Does Bielik Know What It Doesn't Know? Activation Dispersion Separates Entity Familiarity from Factual Reliability Across Model Scale
Large language models hallucinate most about entities they have never seen. We ask whether a model's activations betray entity familiarity before a single answer token is generated, and whether that signal predicts the factual reliability of the answers. On four Polish Bielik models (1.5B-11B parameters), we probe four entity domains (athletes, cities, writers, musicians), each with 42 well-known, 42 obscure-but-real, and 42 fabricated entities addressed by a one-sentence question (504 prompts per model). Two unsupervised, single-forward-pass dispersion measures over post-SwiGLU MLP activation
匹配采集文档中文标题、摘要、原始来源或文档类型。NVIDIA Nemotron Achieves Benchmark-Leading Performance With LangChain Deep Agents Harness
NVIDIA Nemotron 3 Ultra is offering leading performance at lower cost than top closed models with the largest and most widely adopted AI agent orchestration platform. LangChain tuned its Deep Agents harness for NVIDIA Nemotron 3 Ultra, achieving the highest accuracy among open models, while completing more tasks at higher throughput and running at 10x […]
匹配采集文档中文标题、摘要、原始来源或文档类型。A hierarchical memory architecture overcomes context limits in long-horizon multi-agent computational modeling
Large language models (LLMs) demonstrate remarkable reasoning capabilities, yet their stateless architecture fundamentally limits deployment in long-horizon research workflows requiring multi-session continuity and quantitative rigor. Here we present Ensemble QSP, a multi-agent framework featuring a three-layer hierarchical memory architecture that keeps injected context bounded and constant in project duration (mid-term project state: median 301 tokens, max 4,050, across 104 runs) by capping each state category and evicting completed work, enabling continuous autonomous operation without cont
匹配采集文档中文标题、摘要、原始来源或文档类型。PeTeR: Post-Training Robustification of Probabilistic Circuits
Probabilistic circuits (PCs) can model complex joint distributions while supporting exact and efficient computation of many inference queries. However, standard likelihood-based PC learning is vulnerable to overfitting and fragile generalization when confronted with data noise, small sample sizes, or distribution shifts. This can be mitigated using distributionally-robust optimization which consider worst-case distributions within a Wasserstein ball of the empirical distribution, but current methods are limited to training a model from scratch in this framework. Instead, we propose PeTeR: a no
匹配采集文档中文标题、摘要、原始来源或文档类型。