Core Viewpoint - The stock market, particularly the S&P 500, is generally efficient in pricing future economic expectations, but certain stocks may disconnect from broader market trends, presenting investment opportunities [1][2] Group 1: Cleveland-Cliffs Inc. (NYSE: CLF) - Cleveland-Cliffs stock is currently priced at $7.37, representing a 39% drop from its 52-week high, indicating that worst-case scenarios for the U.S. industrial sector may already be priced in [3][4] - Analysts project a 12-month price forecast of $15.49 for Cleveland-Cliffs, suggesting a potential upside of 110.29% from current levels, with a consensus indicating a moderate buy rating [3][5] - The stock's risk-to-reward ratio is favorable for bullish investors, with a consensus price target of $15.5 per share, indicating a significant rebound potential [5] Group 2: Wayfair Inc. (NYSE: W) - Wayfair's current stock price is $39.59, with a 12-month price forecast of $46.46, indicating a 17.36% upside potential [6][7] - The stock trades at 43% of its 52-week high, attracting capital as investors anticipate a rebound in the home furnishing market as real estate stabilizes [7][8] - Analysts from Mizuho have set a price target of $50 per share for Wayfair, suggesting a potential upside of 53% from current levels [10] Group 3: Reddit Inc. (NYSE: RDDT) - Reddit's stock is currently priced at $111.30, with a 12-month price forecast of $140.35, indicating a 26.10% upside potential [11] - The stock has fallen to 47% of its 52-week high, and recent quarterly earnings results suggest that the current price does not reflect the company's financial performance [11][12] - Institutional investors, such as the Vanguard Group, have increased their holdings in Reddit, showcasing confidence in its future, with Citigroup analysts maintaining a buy rating and a valuation of $158, indicating a 46% upside [13]

Cerence (CRNC) Q2 2025 Earnings Call May 07, 2025 05:00 PM ET Company Participants Kate Hickman - VP - Corporate Communications & Investor RelationsBrian Krzanich - President & CEOTony Rodriquez - EVP & CFONick Doyle - Vice President Conference Call Participants Daniel Hibshman - Research AnalystMark Delaney - AnalystItay Michaeli - Equity Analyst Kate Hickman Hello, everyone, and welcome to Cerence's second quarter twenty twenty five conference call. I'm Kate Hickman, VP of corporate communications and inv ...

Uber (UBER) Q1 2025 Earnings Call May 07, 2025 12:00 PM ET Speaker0 and welcome to the Uber First Quarter twenty twenty five Earnings Conference Call. All lines have been placed on mute to prevent any background noise. After the speakers' remarks, there will be a question and answer session. I would now like to turn the conference over to Balaji Krishnamurti, Vice President, Strategic Finance and Investor Relations. You may begin. Speaker1 Thank you, operator. Thank you for joining us today, and welcome to ...

从上海到纽约，世界各地的餐厅里都能看到机器人在烹饪食物。它们会制作汉堡、印度薄饼、披萨和炒菜。它们的原理与过去50年机器人制造其他产品的 方式如出一辙：精准执行指令，一遍又一遍地重复相同的操作步骤。 但Ishika Singh想要的不是这种"流水线"式的机器人，而是真正能"做晚饭"的机器人。它应该能走进厨房，翻找冰箱和橱柜，拿出各种食材搭配组合，烹调 出美味的菜肴，然后摆好餐具。对孩子而言，这也许很简单，但没有任何机器人能做到这一点。这需要太多关于厨房的知识，更需要常识、灵活性和应变 能力，但这些能力都超出了传统机器人编程的范畴。 南加州大学计算机科学博士生Singh指出，问题的症结在于机器人学家使用的经典规划流程。"他们需要把每一个动作，以及它的前提条件和预期效果都定 义清楚，"她解释道，"这要求事先设定环境中所有可能发生的情况。"可即使经过无数次试错，编写数千行代码，这样的机器人仍无法应对程序之外的突 发状况。 一个晚餐服务机器人在制定"策略"（执行指令的行动计划）时，不仅要知道当地的饮食文化（当地所谓的"辛辣"究竟指什么），还要熟悉具体厨房环境 （电饭煲是否放在高层的架子上）、服务对象的特殊情况（Hec ...

Uxin Limited (UXIN) Q4 2025 Earnings Call April 30, 2025 08:00 AM ET Company Participants Jack Wang - Managing DirectorDai Kun - Founder, Chairman & CEOFeng Lin - Chief Financial Officer Conference Call Participants Fei Dai - Analyst Operator and welcome to the Yixin Fourth Quarter and Full Year twenty twenty four Earnings Conference Call. At this time, all participants are in listen only mode. A question and answer session will follow the formal presentation. As a reminder, this conference is being recorde ...

明敏 发自 凹非寺 量子位 | 公众号 QbitAI 千呼万唤，Qwen3终于来了！ 一口气上新8大模型，通通开源。 旗舰模型Qwen3-235B-A22B全方位超越R1、o1、o3-mini，最大杯稠密模型也以32B参数量达到了可观水平。 | | Qwen3-235B-A22B | Qwen3-32B | OpenAl-o1 | Deepseek-R1 | Grok 3 Beta | Gemini2.5-Pro | Open Al-o3-mini | | --- | --- | --- | --- | --- | --- | --- | --- | | | MoE | Dense | 2024-12-17 | | Think | | Medium | | ArenaHard | 95.6 | 93.8 | 92.1 | 93.2 | - | 96.4 | 89.0 | | AIME'24 | 85.7 | 81.4 | 74.3 | 79.8 | 83.9 | 92.0 | 79.6 | | AIME'25 | 81.5 | 72.9 | 79.2 | 70.0 | 77.3 | 86.7 | 74.8 | ...

机器之心报道 编辑：陈萍、+0 大型语言模型（LLMs）在广泛的自然语言处理（NLP）任务中展现出了卓越的能力。然而，它们迅速增长的规模给高效部署和推理带来了巨大障碍，特别是在计 算或内存资源有限的环境中。 例如，Llama-3.1-405B 在 BFloat16（16-bit Brain Float）格式下拥有 4050 亿个参数，需要大约 810GB 的内存进行完整推理，超过了典型高端 GPU 服务器（例如， DGX A100/H100，配备 8 个 80GB GPU）的能力。因此，部署该模型需要多个节点，这使得它昂贵且难以获取。 本文，来自莱斯大学等机构的研究者提出了一种解决方案， 可以 将任何 BFloat16 模型压缩到原始大小的 70%，同时还能在任务上保持 100% 的准 确性。 论文标题： 70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float 为了应对 LLM 不断增长的模型尺寸，通常会采用量化技术，将高精度权重转换为低位表示。这显著减少了内存 ...

编译：Xeriano 编辑：Cage 浏览器的使用者正在逐渐从人类用户转移到 AI Agent ，Agent 与互联网环境互动的底层设施也因此 正在变得越来越重要。传统浏览器无法满足 AI Agent 自动化抓取、交互和实时数据处理的需求。 Browserbase 的创始人 Paul Klein 早在 23 年底就敏锐地洞察到 AI Agent 亟需一个全新的交互载体 ——一个"为 AI 而生"的云端浏览器。这个浏览器不仅要解决现有工具的性能和部署问题，更核心的 是要利用 LLM 和 VLM 赋予浏览器理解和适应网页变化的能力，让 AI Agent 能用更接近自然语言的 方式与之交互，稳定地完成任务。 Browserbase 是一家成立一年多的 headless browser 服务提供商，以云服务的形式为 AI Agent 公司提 供 scalable、高可用性的浏览器服务。近期，Browserbase 又推出了 StageHand，一种利用 LLM 使得 开发者可以用自然语言与网页进行交互的框架，进一步拓展了其在 headless browser 领域的影响。 本文基于创始人早期备忘录进行了编译，详细阐述 ...

Zhejiang Leapmotor Technology (09863) Q4 2024 Earnings Call March 10, 2025 04:39 PM ET Operator This meeting is a closed door meeting of China International Capital Corporation Limited, CICC, and only invited guests allowed to attend. Without the written permission of CICC and the speaker, no organization or individual is allowed to punish, forward, reprint, disseminate, copy, edit or modify the meeting contents and relevant information in any form. CICC reserves the right to investigate the relevant legal ...