Google DeepMind 首席科学家Chief Scientist at Google DeepMind
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明尼苏达大学学士,华盛顿大学博士(导师 Craig Chambers)。1999年作为最早期工程师之一加入 Google。构建了使 Google 能够扩展的基础系统:MapReduce、BigTable、Spanner,后来还有 TensorFlow。2011年与 Andrew Ng、Greg Corrado 和 Rajat Monga 联合创办 Google Brain,该项目曾用 16000 个 CPU 训练一个网络,学会从 YouTube 视频中识别猫。历任 Google AI 高级副总裁,现为 Google DeepMind 首席科学家,负责 Gemini 开发。被公认为计算史上最伟大的系统工程师之一。
Earned a BS from the University of Minnesota and a PhD from the University of Washington under Craig Chambers. Joined Google in 1999 as one of the earliest engineers. Built core systems that let Google scale: MapReduce, BigTable, Spanner, and later TensorFlow. Co-founded Google Brain in 2011 with Andrew Ng, Greg Corrado, and Rajat Monga -- the famous project that used 16,000 CPUs to train a network that learned to recognize cats from YouTube videos. Became SVP of Google AI and now serves as Chief Scientist at Google DeepMind, overseeing Gemini development. Known as one of the greatest systems engineers in computing history.