Core Viewpoint - Ambow Education Holding Ltd. has launched HybriU Knowledge Capture, an extension of its HybriU platform, aimed at helping enterprises retain critical knowledge and ensure operational continuity [1][3]. Product Features - HybriU Knowledge Capture includes the HybriU AI UniBox, a portable control pad, and a USB microphone, providing a compact system that records and securely stores corporate sessions [2][9]. - The system captures various formats including voice audio, electronic whiteboard content, and PowerPoint presentations, applicable for in-person, remote, or hybrid sessions [2][9]. - AI technology analyzes recordings to generate searchable summaries and key-point highlights, creating a structured institutional knowledge library [2][9]. Organizational Impact - The solution addresses the challenge of knowledge retention, ensuring stability and future-proofing organizations as teams evolve [3]. - By transforming meetings and training sessions into permanent resources, HybriU Knowledge Capture enhances competitive advantages and secures institutional knowledge [3][5]. - It enables faster onboarding, effective training, and real-time knowledge transfer across organizations [9]. Strategic Positioning - HybriU Knowledge Capture is part of Ambow's broader HybriU platform suite, representing a new wave of innovations aimed at reshaping knowledge preservation and sharing in both educational and corporate settings [6][10]. - The company positions itself as a pioneer in AI-driven solutions for education and collaboration, bridging physical and digital environments [7][10].

Key Takeaways SNOW launched Cortex Gen2 and Openflow to boost scalable AI workloads and data interoperability. More than 5,200 accounts use SNOW's AI tools weekly, reflecting strong enterprise AI adoption. Canva and Acxiom are leveraging SNOW's AI stack to enhance personalization and marketing workflows.Snowflake (SNOW) is deepening its AI integration across platform layers, driving strong adoption and strengthening its competitive position in enterprise infrastructure. Latest innovations like Snowflake I ...

AI，或许是苹果现在最不想听到的词汇。 曾几何时，苹果的Siri独步全球，让全世界都意识到智能语音助手并不是"人工智障"，而且也是最早将机器学习等人工智能技术融入系统功能里的手机企 业，我想大家应该都还记得过去只有苹果的相册支持人像自动分类等功能。 除此之外，苹果在影像算法、预测输入、Face ID等多种功能上都大范围使用机器学习技术，优化功能的体验。甚至可以说，iPhone的成功除了A系列芯片的 强大外，早就开始拥抱AI技术的iOS功不可没。 图源：苹果 但是，在进入AI大模型时代后，苹果似乎一夜间变成了落后者，刚刚结束的WWDC 2025上，苹果对AI服务的更新计划甚至可以用"乏善可陈"来形容。以至 于WWDC首日结束后，苹果的股价直接来了个自由落体，从6月9日到13日，持续5天的WWDC让苹果的股价从9日的最高点205美元一度跌到196美元。 虽然苹果一向不太在意短期的股价波动，但是市场以及用户的质疑也确实给苹果带去了不少压力，或许是有意也可能是无意，来自彭博社的一篇文章，揭示 了苹果正在推进的多个AI项目。 其中一些是早已披露的项目，比如更智能且具备感知能力的Siri，也有一些是首次披露出细则，比如K ...

6.2-6.8 TOP10 | | Best of the week of June 2, 2025 | Daily | Weekly | Monthly | | Yearly | Featured | All | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | 5月 26-6月 1 6月 2-8 6月 9—15 | | 6月 16-22 | | 6月 23-29 | | 6月 30-7月 6 | → | | | Chat4Data | | | | | | 0 | 0 | | | ChatGPT for web scraping | | | | | | 102 | 716 | | | Chrome Extensions · Artificial Intelligence · Data | | | | | | | | | | Embedded iPaaS from Albato | | | | | | D | റ | | | Make your SaaS stick with AI-fueled embedded iPaaS | | | ...

Financial Data and Key Metrics Changes - Total revenue for Q1 was $124.2 million, down approximately $3.6 million or 2.8% year over year [19] - Adjusted EBITDA was $22.1 million or 17.8% of revenue, up from $18.9 million or 14.8% of revenue in the prior year [21] - GAAP net loss was $38 million compared to $27.6 million in the prior year, with GAAP net loss per share at $4.57 compared to $3.42 [22] - Free cash flow was $26.2 million, an improvement of $15.8 million from $10.4 million in the prior year [23] Business Line Data and Key Metrics Changes - Talent Development Solutions (TDS) revenue was $99.1 million, up 1% year over year [18] - Global Knowledge (GK) revenue was $25.1 million, down approximately $4.7 million or 15.7% year over year, impacted by softer demand in the public sector [18][19] - TDS dollar retention rate for Q1 was 99%, compared to 100% last quarter and 99% one year ago [19] Market Data and Key Metrics Changes - There was a decline in U.S. public sector discretionary live learning spending, while large-scale non-U.S. public sector deals increased [10] - The company is investing in international growth, particularly in sectors like AI, cloud computing, and cybersecurity [11] Company Strategy and Development Direction - The company is focused on executing its transformation plan and driving success for customers and learners [5][8] - A renewed focus on go-to-market strategy is emphasized, with new leadership additions aimed at enhancing brand awareness and demand [6][7] - The company aims to return to top-line growth and deliver continued margin expansion while generating positive free cash flow [16] Management's Comments on Operating Environment and Future Outlook - Management noted macroeconomic uncertainty leading to lower discretionary spending and elongated decision-making processes [8][16] - Confidence in the business strategy was reinforced by positive feedback from customer events and a strong deal pipeline [15][38] - The outlook for the full fiscal year remains unchanged, with expectations for revenue between $530 million and $545 million [26] Other Important Information - The company is closely monitoring macroeconomic conditions and potential impacts on business [26] - The first quarter is typically the highest seasonal free cash flow quarter, with expectations of cash usage in the second quarter [23][24] Q&A Session Summary Question: What are the underlying KPIs that give confidence in the full-year target? - Management highlighted the growth in TDS and a strong deal pipeline in GK, suggesting potential for improvement if the market stabilizes [30][32] Question: How should we think about the government business and its recent softness? - Management noted that discretionary spending in the U.S. federal sector impacted revenue, but there is positive activity in European public sectors [48][50] Question: What changes or improvements can be expected under the new CFO? - The focus will be on integrating finance into every decision and aligning it with go-to-market strategies to drive growth [54]

本文作者分别来自新加坡国立大学、北京大学与清华大学。第一作者王宇豪与共同第一作者屈文杰来自新加坡国立大学，研究方向聚焦于大语言模型中的安 全与隐私风险。共同通讯作者为北京大学翟胜方博士，指导教师为新加坡国立大学张嘉恒助理教授。 本研究聚焦于当前广泛应用的 RAG (Retrieval-Augmented Generation) 系统，提出了一种全新的黑盒攻击方法： 隐式知识提取攻击 (IKEA) 。不同于以 往依赖提示注入 (Prompt Injection) 或越狱操作 (Jailbreak) 的 RAG 提取攻击手段， IKEA 不依赖任何异常指令，完全通过自然、常规的查询，即可高效 引导系统暴露其知识库中的私有信息。 在基于多个真实数据集与真实防御场景下的评估中，IKEA 展现出超过 91% 的提取效率与 96% 的攻击成功率，远超现有攻击基线；此外，本文通过多项 实验证实了隐式提取的 RAG 数据的有效性。本研究揭示了 RAG 系统在表面「无异常」交互下潜在的严重隐私风险。 论文题目：Silent Leaks: Implicit Knowledge Extraction Attack on RAG S ...

Core Insights - RelationalAI launched new product capabilities at Snowflake Summit 2025, enhancing its native app for the Snowflake AI Data Cloud, enabling enterprises to build intelligent, data-centric applications without data movement or architectural complexity [1][2][3] Product Enhancements - The new capabilities allow organizations to transition from reactive analytics to reasoning-powered decisions, providing a complete foundation for building semantics-aware, AI-native applications [2] - Key features include: - Support for next-generation LLM question answering with text-to-reasoner capabilities, enhancing decision-making processes [4] - Interoperability with Snowflake Semantic Views, improving accuracy and consistency in business semantics [4] - Integrated prescriptive reasoning using mathematical optimization solvers for optimal decision-making in complex domains [4] - Expanded support for graph reasoning, enabling applications to navigate complex data relationships [4] - Integrated predictive reasoning with graph neural networks (GNNs) for improved accuracy in demand forecasting, churn prediction, and risk scoring [4] Industry Impact - The collaboration with Blue Yonder demonstrates the practical application of RelationalAI's knowledge graph in AI-powered supply chain management, significantly reducing legacy code by 90% [2] - The enhancements are expected to streamline processes for Snowflake customers, helping them realize the full potential of their data [2][3]

图 点击 上方 硬AI 关注我们 万众期待的年度开发者大会或未能展示苹果在AI领域的追赶决心，反而还可能凸显其短板。分析指出，苹果核心AI功能 （如新版Siri）持续跳票，其发布内容多为品牌包装，重磅技术仅开放30亿参数小模型给开发者，远逊于竞争对手。 作者 | 龙 玥 编辑 | 硬 AI 这并不是说苹果最近在人工智能方面没有取得进展。在内部，它拥有各种复杂程度的模型。目前，拥有30 亿、70亿、330亿和1500亿个参数的版本正在积极使用中。这个1500亿参数的模型依赖云计算，比苹果的 设备端技术强大得多，能进行更为微妙的推理。 硬·AI 内部基准测试表明，该模型的质量接近近期推出的ChatGPT。但由于担心幻觉以及公司高管之间的理念差 异，该公司暂缓使用该技术来推出自己的聊天机器人。 不过，目前尚无公开发布的计划。 02 在科技巨头们激烈争夺AI领导权的战场上，苹果正陷入一场尴尬的延迟游戏。下周一（6月9日）开幕的苹 果全球开发者大会(WWDC)或将不会扭转这一局面。 据彭博最新报道， 苹果公司内部人士对此次大会AI展示部分已做好"令人失望"的心理准备，外界观察人士 则担忧此次发布会可能会让苹果在AI领域 ...

SUNNYVALE, Calif., June 03, 2025 (GLOBE NEWSWIRE) -- eGain (NASDAQ: EGAN), the leader in AI knowledge platform for service, today announced the findings of a first-of-its-kind survey on the state of AI in 2025. Conducted by Enterprise AI/KMWorld in Spring 2025, the findings were compiled from the responses of 316 executives, knowledge managers and practitioners worldwide. The survey revealed a make-or-break barrier to AI success with a whopping 61% of respondents pointing to erroneous or inconsistent answer ...

eGain (EGAN) Q3 2025 Earnings Call May 14, 2025 05:00 PM ET Company Participants Jim Byers - DirectorAshutosh Roy - Co-Founder, Executive Chairman, CEO & PresidentEric Smit - CFO Conference Call Participants Richard Baldry - MD & Senior Research AnalystDaniel Hibshman - Research Analyst Operator Please note this event is being recorded. I would now like to turn the conference over to Jim Byers, Pondell Investor Relations. Please go ahead. Jim Byers Thank you, operator, and good afternoon, everyone. Welcome ...