美股詳情

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Alger Concentrated Equity ETF

39.09

-0.6800-1.71%

盤後：39.090.00000.00%16:28 EDT

成交量：33.48萬

成交額：1,308.42萬

市值：27.06億

市盈率：- -

高：39.33

開：38.90

低：38.75

收：39.77

52周最高：42.15

52周最低：29.47

股本：6,922.50萬

流通股本：6,922.50萬

量比：1.32

換手率：0.48%

股息：0.18

股息率：0.46%

淨資產收益率：--

總資產收益率：--

市淨率：--

市盈率(LYR):- -

資料載入中...

總覽公司新聞資訊公告

納德拉呼籲AI治理去中心化：微軟明日公布首份模型行為準則

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中信建投證券研報稱，覆盤2023年以來海外AIDC電源公司股價與基本面變化，可以發現基本面的核心催化是英偉達芯片換代與供

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微軟董事長兼首席執行官納德拉：關鍵在於，這一領域不能由少數幾家實體控制，而必須讓整個生態系統、不同國家和各個領域，包括學

微軟董事長兼首席執行官納德拉：這正是我們正在採取的方法——在AI技術棧的每一層都提供廣泛的訪問權限和選擇空間；由企業掌控

微軟董事長兼首席執行官納德拉：對於企業而言，至關重要的是保持對自身獨特且隱性的知識的完全控制。每個組織都應該能夠建立自己

微軟董事長兼首席執行官納德拉：在這一背景下，我們歡迎必要的研究、關注和有意識的推進節奏，以確保「對齊」成為設計目標。我們

納德拉：需加快 AI 發展並擴大收益

微軟董事長兼首席執行官納德拉：任何對超級智能的追求，都必須建立在一項核心原則之上，即如果我們打造的AI不能幫助人類，並且

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CPO，業界看好形成新摩爾定律","url":"https://stock-news.laohu8.com/highlight/detail?id=2667163634","media":"链捕手","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2667163634?lang=zh_tw&edition=fundamental","pubTime":"2026-09-14 10:40","pubTimestamp":1789353657,"startTime":"0","endTime":"0","summary":" ChainCatcher 消息，据台湾《工商时报》9 月 14 日报道，随着 GPU、ASIC 运算能力持续跃升，传统铜互连逐渐逼近功耗与讯号传输极限，台积电正加速布局共同封装光学 CPO。业界看好，若 CPO 频宽维持每两年倍增，有望形成 AI 时代的“CPO 摩尔定律”。业界分析，CPO 频宽升级主要有三条路径，包括单通道速度由 200G 朝 400G 以上提升、光通道数量从 16 条向 32 条、64 条以上扩张，以及导入波长分波多工 WDM。至 2040 年理论值可达现阶段约 128 倍，以现阶段约 3.2T 等级计算，长期具有朝数百 T 发展的空间。台积电在光互连的角色由晶圆代工延伸至系统整合，从 3DFabric、CoWoS、SoIC 到硅光子与 CPO，逐步将运算、HBM 存储器及高速 I/O 整合。当高速电讯号超过 200G，经过 ABF 载板、PCB 与连接器等较长铜路径后讯号衰减加剧，产业朝铜路径缩短、光路径拉长发展。封装架构方面，现阶段光引擎先布局于载板，下一步可望将 CPO 置于中介层，未来更可能利用 SoIC 技术让光子集成电路 PIC 与 ASIC 走向 3D 垂直整合。业者表示，CPO 迈向量产仍须克服封装、光耦合与测试关卡； 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CEO Nadella：超級智能須造福人類並受人類控制","url":"https://stock-news.laohu8.com/highlight/detail?id=2667523631","media":"链捕手","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2667523631?lang=zh_tw&edition=fundamental","pubTime":"2026-09-14 09:53","pubTimestamp":1789350794,"startTime":"0","endTime":"0","summary":" ChainCatcher 消息，微软 CEO Satya Nadella 在 X 发文表示：任何对超级智能的追求都必须基于核心原则，即如果我们构建的 AI 不能帮助人类并处于人类控制之下，就不值得追求。他还表示，需要加速并广泛传播 AI 益处，使其在国家、社区和公司中广泛扩散，这需要闭源与开源模型都能蓬勃发展的前沿生态系统。对企业而言，必须保留对其独特和隐性知识的完全控制，每个组织都应能构建自己的持续学习循环，而不依赖任何单一模型提供商，并将自身知识嵌入其控制的模型和权重中。Nadella 称，欢迎为正确对齐所需的研究、关注和审慎节奏，以及“嵌入式评估器”等想法。这不能由少数实体控制，必须在生态系统、国家和包括学术界在内的领域有广泛代表性。微软的方法是 AI 堆栈每一层的广泛访问和选择、企业对学习循环和模型的控制，以及将于明天发布供公众咨询的自有 MAI 模型“行为准则”。 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