Gemini系列AI模型
Search documents
谷歌2026年财报发布,AI与云业务成增长引擎
Jing Ji Guan Cha Wang· 2026-02-13 19:30
经济观察网根据公开信息,谷歌-A(GOOGL.US)在2026年有以下已公布的值得关注的事件和战略动向: 谷歌已宣布新一代移动操作系统Android17(代号"肉桂卷")的发布计划。首个Beta测试版本即将推出,正 式版计划在2026年第二季度(约6月)发布。这将是全球最大移动操作系统的一次重要迭代。 公司状况 公司董事会已宣布季度现金股息为每股0.21美元,将于2026年3月16日支付给截至3月9日登记在册的股 东。 战略推进 以上内容基于公开资料整理,不构成投资建议。 公司项目推进 在财报中,公司宣布将2026年的资本开支预算大幅上调至1750亿-1850亿美元区间,较2025年的914.47 亿美元增长超91%。这笔投入将主要用于AI计算能力建设与云基础设施扩张,管理层预计2026年全年将 面临AI算力供应紧张的局面。 产品研发进展 谷歌自研的Gemini系列AI模型仍是发展重点。截至2025年第四季度,Gemini应用的月活跃用户已突破 7.5亿。公司将继续推进AI技术在搜索、云服务等核心产品中的深度融合与应用。 业绩经营情况 公司已于2026年2月4日(北京时间2月5日)公布了2025年第四季度及全 ...
DeepMind强化学习掌门人David Silver离职创业,Alpha系列AI缔造者,哈萨比斯左膀右臂
3 6 Ke· 2026-02-02 08:21
Core Insights - David Silver, a prominent researcher in reinforcement learning, has left DeepMind after 15 years to establish his own AI company, Ineffable Intelligence [1][5]. Company Formation - Ineffable Intelligence was quietly founded in November 2025, with Silver officially appointed as a director on January 16, 2026 [2]. - The company is headquartered in London and is actively recruiting AI research talent while seeking venture capital [3]. Contributions at DeepMind - Silver was a key figure in the development of DeepMind's "Alpha series," leading or significantly contributing to major projects such as AlphaGo, AlphaZero, MuZero, and AlphaStar [7][9]. - His work on AlphaGo, which defeated world champion Lee Sedol in 2016, marked a significant milestone in AI history [9]. - Silver has received multiple accolades, including the ACM Prize in Computing in 2019 and the Royal Academy of Engineering Silver Medal in 2017 [10]. Academic and Research Impact - Silver is one of the most published authors among DeepMind employees, with over 280,000 citations and an h-index of 104 according to Google Scholar [11]. - His research has focused on advancing AI capabilities beyond human knowledge, advocating for a new "Age of Experience" where AI learns from its own experiences [17][19]. Vision for AI - Silver aims to tackle the challenge of creating superintelligent AI that can learn independently from first principles, moving away from reliance on human knowledge [17][19].
DeepMind强化学习掌门人David Silver离职创业!Alpha系列AI缔造者,哈萨比斯左膀右臂
量子位· 2026-01-31 01:34
Core Viewpoint - David Silver, a prominent figure in reinforcement learning and a key researcher at DeepMind for 15 years, has left the company to establish his own AI startup, Ineffable Intelligence, aiming to tackle the challenges of achieving superintelligence in AI [2][21]. Group 1: Departure from DeepMind - David Silver has officially left DeepMind and has been appointed as the director of his new company, Ineffable Intelligence, which was quietly established in November 2025 [3][2]. - Silver had been on leave for several months prior to his departure from DeepMind [4]. - Google DeepMind confirmed Silver's departure and expressed gratitude for his contributions during his tenure [9]. Group 2: Achievements at DeepMind - Silver was instrumental in the development of several landmark AI projects at DeepMind, including AlphaGo, which defeated world champion Lee Sedol in 2016, marking a significant milestone in AI history [14]. - He also led the development of AlphaZero, which achieved superhuman performance in Go, chess, and shogi without relying on human game data [14]. - Silver contributed to the creation of MuZero, which learns to play games without being informed of the rules, and AlphaStar, which defeated top players in StarCraft II [15][16]. - He has received numerous accolades, including the ACM Prize in Computing in 2019 and the Royal Academy of Engineering Silver Medal in 2017 [18]. Group 3: Vision for the Future - Silver's motivation for founding Ineffable Intelligence is to return to the awe and wonder of solving the most challenging problems in AI, with a focus on creating a superintelligent AI that can learn endlessly [21]. - He advocates for a new "Age of Experience" in AI, where systems learn from experiences through reinforcement learning, moving beyond reliance on human knowledge [24]. - Silver believes that achieving true superintelligence requires AI to learn from first principles, independent of human intuition and knowledge [25].